Machine Learning for Spectrum Sharing: A Survey | Paper Citation Record

Observation 5675e3fa-e2e3-484c-bbb4-c0984bcd52f6 · outbound

This paper cites Scenarios for 5G mobile and wireless communications: The vision of the METIS project,.

Machine Learning for Spectrum Sharing: A Survey Scenarios for 5G mobile and wireless communications: The vision of the METIS project,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.010147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945e9bc9-03fc-4f1c-9c38-6a26bc52a0ee · outbound

This paper cites White paper 5G evolution and 6G,.

Machine Learning for Spectrum Sharing: A Survey White paper 5G evolution and 6G,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.015121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbce5eb-d325-4363-9637-951394e32060 · outbound

This paper cites 6g and beyond: The future of wireless communications systems,.

Machine Learning for Spectrum Sharing: A Survey 6g and beyond: The future of wireless communications systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.020147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb61a08-59d0-4814-8225-a566f1442a60 · outbound

This paper cites Spectrum sharing in mmwave cellular networks via cell association, coordination, and beamforming,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sharing in mmwave cellular networks via cell association, coordination, and beamforming,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.024963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6396d51-41d2-406a-951c-23a823ffe6b2 · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.029738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04797d58-9887-4dee-bd47-2403a11ed793 · outbound

This paper cites Advances in cognitive radio networks: A survey,.

Machine Learning for Spectrum Sharing: A Survey Advances in cognitive radio networks: A survey,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.034446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18324d5f-624d-4f55-b77c-f21414b9f12f · outbound

This paper cites TV white spaces policies to enable efficient spectrum sharing,.

Machine Learning for Spectrum Sharing: A Survey TV white spaces policies to enable efficient spectrum sharing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.039968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce680f2-3e13-4613-909d-da9ace20158b · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.044735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d914ba8b-8feb-433f-bcbc-6c332d83f3b4 · outbound

This paper cites Dynamic licensed shared access - a new architec- ture and spectrum allocation techniques,.

Machine Learning for Spectrum Sharing: A Survey Dynamic licensed shared access - a new architec- ture and spectrum allocation techniques,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.049262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fcb8bc-6118-4485-a0c7-bad3498dba1f · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.053463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4768778f-748b-469b-ac87-93446c90e66d · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.058326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a2abe6-0e7b-4155-9d38-8bba404b9cc0 · outbound

This paper cites Spectrum pooling in mmwave networks: Oppor- tunities, challenges, and enablers,.

Machine Learning for Spectrum Sharing: A Survey Spectrum pooling in mmwave networks: Oppor- tunities, challenges, and enablers,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.062312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6e6680-134d-46a5-ac65-4d789ebafce7 · outbound

This paper cites Ultra-reliable communication in 5G wireless sys- tems,.

Machine Learning for Spectrum Sharing: A Survey Ultra-reliable communication in 5G wireless sys- tems,

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.988435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0fbc7b8-34dc-406b-97d6-e9274d2bf4d1 · outbound

This paper cites Wireless access for ultra-reliable low- latency communication: Principles and building blocks,.

Machine Learning for Spectrum Sharing: A Survey Wireless access for ultra-reliable low- latency communication: Principles and building blocks,

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.070238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6466db0c-2e60-48d7-8053-e448bcdd6f58 · outbound

This paper cites Pos- sibility of dynamic spectrum sharing system by VHF-band radio sensor and machine learning,.

Machine Learning for Spectrum Sharing: A Survey Pos- sibility of dynamic spectrum sharing system by VHF-band radio sensor and machine learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.074729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787bfe53-fbbe-4cd0-92c0-6690449f18ae · outbound

This paper cites Advanced spectrum sharing in 5G cognitive heterogeneous net- works,.

Machine Learning for Spectrum Sharing: A Survey Advanced spectrum sharing in 5G cognitive heterogeneous net- works,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.084032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1f0199-00f0-41be-8e9b-98bd3f0840af · outbound

This paper cites Carrier aggregation/channel bonding in next generation cellular networks: Methods and challenges,.

Machine Learning for Spectrum Sharing: A Survey Carrier aggregation/channel bonding in next generation cellular networks: Methods and challenges,

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.088772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3e465d-3f7d-431b-b785-948693ae8fe8 · outbound

This paper cites Cognitive radio techniques under practical imperfections: A survey,.

Machine Learning for Spectrum Sharing: A Survey Cognitive radio techniques under practical imperfections: A survey,

Reference 19

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.097888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d85cf91-8628-4033-9e45-c8c34adac82a · outbound

This paper cites Coordinated allocation of radio resources to Wi-Fi and cellular technologies in shared unlicensed frequen- cies,.

Machine Learning for Spectrum Sharing: A Survey Coordinated allocation of radio resources to Wi-Fi and cellular technologies in shared unlicensed frequen- cies,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.102360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e99682-537e-4b6b-a982-7ea0b91a651c · outbound

This paper cites A survey on 4G-5G dual connectivity: Road to 5G implementation,.

Machine Learning for Spectrum Sharing: A Survey A survey on 4G-5G dual connectivity: Road to 5G implementation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.107088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350fc585-8faf-4fcd-8ce5-9deddf6ac102 · outbound

This paper cites IntelligenceandlearninginO-RANfordata-drivennextgcellular networks,.

Machine Learning for Spectrum Sharing: A Survey IntelligenceandlearninginO-RANfordata-drivennextgcellular networks,

Reference 22

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.962741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fdf26b7-58ad-4af9-86cc-d2d94de748f7 · outbound

This paper cites Distributed spectrum sharing in cognitive radionetworks-gametheoreticalview,.

Machine Learning for Spectrum Sharing: A Survey Distributed spectrum sharing in cognitive radionetworks-gametheoreticalview,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.115618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2432b14e-2648-4615-aa75-12fe4c71c1ae · outbound

This paper cites A comprehensive survey on spectrum sensing in cognitive radio networks: Recent advances, new challenges, and future research directions,.

Machine Learning for Spectrum Sharing: A Survey A comprehensive survey on spectrum sensing in cognitive radio networks: Recent advances, new challenges, and future research directions,

Reference 24

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.947073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 173f1bf3-dcc5-4035-80ce-653c4c84b0bc · outbound

This paper cites Deep neural networks for spectrum sensing: A review,.

Machine Learning for Spectrum Sharing: A Survey Deep neural networks for spectrum sensing: A review,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.123821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6e28fe-b1af-4d8d-bf6a-f351a510bf9e · outbound

This paper cites Spectrum sens- ing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sens- ing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.129174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266ab3f9-98ad-496d-ac40-2bbaa1f64540 · outbound

This paper cites Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio- based internet-of-things networks,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio- based internet-of-things networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.133890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b7fe87a-e262-4e44-9c50-1bf832161e09 · outbound

This paper cites A survey of dynamic spec- trum allocation based on reinforcement learning algorithms in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey A survey of dynamic spec- trum allocation based on reinforcement learning algorithms in cognitive radio networks,

Reference 28

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.931469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75f577a6-cad5-4c45-b12b-fe2c5673b052 · outbound

This paper cites A survey of advanced techniques for spectrum sharing in 5G networks,.

Machine Learning for Spectrum Sharing: A Survey A survey of advanced techniques for spectrum sharing in 5G networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.143411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5ac0fb-718e-4e82-bbfb-346ed3eedaf7 · outbound

This paper cites Spectrum sharing for internet of things: A survey,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sharing for internet of things: A survey,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.148243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eea86f2-a6d7-469e-9ed6-8b9e4efd3367 · outbound

This paper cites Licensed spectrum sharing schemes for mobile oper- ators: A survey and outlook,.

Machine Learning for Spectrum Sharing: A Survey Licensed spectrum sharing schemes for mobile oper- ators: A survey and outlook,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.152892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2e6d66-912b-4b98-8d57-e88ce52fddb4 · outbound

This paper cites Reinforcement learning based 5G enabled cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Reinforcement learning based 5G enabled cognitive radio networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.157373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd23bce4-aa53-49f6-9084-c5c4ea377b75 · outbound

This paper cites Machine learning for cooper- ative spectrum sensing and sharing: A survey,.

Machine Learning for Spectrum Sharing: A Survey Machine learning for cooper- ative spectrum sensing and sharing: A survey,

Reference 33

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.916630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 969f9be0-4766-43e0-9535-92122e87b41d · outbound

This paper cites REFERENCES 123.

Machine Learning for Spectrum Sharing: A Survey REFERENCES 123

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.161831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be56431-2aca-4127-96c1-62d1efce8d5a · outbound

This paper cites Full spectrum sharing in cognitive radio networks toward 5G: A survey,.

Machine Learning for Spectrum Sharing: A Survey Full spectrum sharing in cognitive radio networks toward 5G: A survey,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.174968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7477c9af-a1c1-421f-9674-4d436e69b787 · outbound

This paper cites Scope of machine learning applications for addressing the challenges in next-generation wireless networks,.

Machine Learning for Spectrum Sharing: A Survey Scope of machine learning applications for addressing the challenges in next-generation wireless networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.170718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793e71bf-e2dc-4624-92f5-22b41c596e28 · outbound

This paper cites Leveraging machine learning for millimeter wave beamforming in beyond 5G networks,.

Machine Learning for Spectrum Sharing: A Survey Leveraging machine learning for millimeter wave beamforming in beyond 5G networks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.184792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7bc5399-9b88-4c05-9bd2-0b08095bc8de · outbound

This paper cites A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.179059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e522ded-f1a4-42b6-9c20-154053d3955e · outbound

This paper cites When machine learning meets spectrum sharing security: Methodologies and challenges,.

Machine Learning for Spectrum Sharing: A Survey When machine learning meets spectrum sharing security: Methodologies and challenges,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.194696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2dade6-ecfd-454d-aca8-807fb6eba7e0 · outbound

This paper cites Reinforcement learning-based physical cross-layer security and privacy in 6G,.

Machine Learning for Spectrum Sharing: A Survey Reinforcement learning-based physical cross-layer security and privacy in 6G,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.189598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568e1274-3ca4-4201-9a6f-1a3fa73d0f58 · outbound

This paper cites The Roadmap to 6G: AI Empowered Wireless Networks,.

Machine Learning for Spectrum Sharing: A Survey The Roadmap to 6G: AI Empowered Wireless Networks,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.204552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c32e35-f23a-43fe-a27e-aa17e4f9c85a · outbound

This paper cites ML-based 5G network slicing security: A com- prehensive survey,.

Machine Learning for Spectrum Sharing: A Survey ML-based 5G network slicing security: A com- prehensive survey,

Reference 42

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.881788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca36b1b4-7bd8-4201-95b8-d81d6c35ec39 · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.213708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49fdcbd-290d-4ae6-8d6e-72827d68e27f · outbound

This paper cites A Brief Introduction to Machine Learning for Engineers,.

Machine Learning for Spectrum Sharing: A Survey A Brief Introduction to Machine Learning for Engineers,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.209163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ae33a6-660f-41c0-b7f5-18ebe6bea751 · outbound

This paper cites Hastie, R.

Machine Learning for Spectrum Sharing: A Survey Hastie, R

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.221831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc9efac-dd77-4093-b825-0506aae5d2a0 · outbound

This paper cites Optimization Methods for Large-Scale Machine Learning,.

Machine Learning for Spectrum Sharing: A Survey Optimization Methods for Large-Scale Machine Learning,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.217864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cea98d47-12bc-480d-a150-ee5bf3e2fd84 · outbound

This paper cites Jurafsky and J.

Machine Learning for Spectrum Sharing: A Survey Jurafsky and J

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.230082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2baeef-6e59-43de-86b8-4fc7e40028d3 · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.225843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de6ad34-0c10-4112-a1df-734c9184cc45 · outbound

This paper cites A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,.

Machine Learning for Spectrum Sharing: A Survey A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.239026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd769b8-7d46-4261-8815-4267c2c00769 · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.234415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 781356f2-5e15-4969-9fde-8466c9b3df3e · outbound

This paper cites Multilayer Feedfor- ward Networks Are Universal Approximators,.

Machine Learning for Spectrum Sharing: A Survey Multilayer Feedfor- ward Networks Are Universal Approximators,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.248785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27023c07-a3e8-4da6-a1cb-20355303ddbb · outbound

This paper cites Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?.

Machine Learning for Spectrum Sharing: A Survey Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.244035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b163d590-c5f4-4559-b634-329f015f73ac · outbound

This paper cites Machine learning for wireless communications in the internet of things: A comprehensive survey,.

Machine Learning for Spectrum Sharing: A Survey Machine learning for wireless communications in the internet of things: A comprehensive survey,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.257932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8831db-1849-4edb-9358-34c516d357d7 · outbound

This paper cites Goodfellow, Y.

Machine Learning for Spectrum Sharing: A Survey Goodfellow, Y

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.253325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9da897-e153-471d-9e0a-aef1836a3aa2 · outbound

This paper cites Playing atari with deep re- inforcement learning,.

Machine Learning for Spectrum Sharing: A Survey Playing atari with deep re- inforcement learning,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.267212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b46255f-5ba2-41a6-9e42-5eea3cbd42fa · outbound

This paper cites an unresolved cited work.

Machine Learning for Spectrum Sharing: A Survey Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.262586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d615f9ea-d39c-4f85-bac9-b6f65153f5cd · outbound

This paper cites User cooperation diversity. part i. system description,.

Machine Learning for Spectrum Sharing: A Survey User cooperation diversity. part i. system description,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.276018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b499c93a-9f68-4d30-a0ab-4412fb0b0bbc · outbound

This paper cites Cooperative communications for cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Cooperative communications for cognitive radio networks,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.271778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e521698-10ab-4c25-a7b9-1f6e70be029b · outbound

This paper cites Eigenvalue-based spectrum sensing algorithms for cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Eigenvalue-based spectrum sensing algorithms for cognitive radio,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.284783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a428bdcd-9314-4020-a172-8efdef093643 · outbound

This paper cites Implementation issues in spectrum sensing for cognitive radios,.

Machine Learning for Spectrum Sharing: A Survey Implementation issues in spectrum sensing for cognitive radios,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.280664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d83d96-9b06-4871-a4e6-3de0bcd0fa6e · outbound

This paper cites Ma- chine learning techniques for cooperative spectrum sensing in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Ma- chine learning techniques for cooperative spectrum sensing in cognitive radio networks,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.292925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8044d03-7376-45b3-addd-0227bbc8aa41 · outbound

This paper cites Wideband spectrum sensing for cognitive radio networks: A survey,.

Machine Learning for Spectrum Sharing: A Survey Wideband spectrum sensing for cognitive radio networks: A survey,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.288813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f409e2fa-b488-4248-9504-99d3c8de2560 · outbound

This paper cites Spectrum sensing for cognitive radio using deep autoencoder neural network and SVM,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sensing for cognitive radio using deep autoencoder neural network and SVM,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.305801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb8ead5-1459-4e2a-8975-abc3c130fad9 · outbound

This paper cites SVM-based spectrum sensing in cog- nitive radio,.

Machine Learning for Spectrum Sharing: A Survey SVM-based spectrum sensing in cog- nitive radio,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.297127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5bda144-bc17-46b3-b405-994fcf4c2395 · outbound

This paper cites Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.319980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42794131-8869-4a67-82f6-3c65fdc197bd · outbound

This paper cites Spatio-temporal spectrum sensing in cognitive radio networks using beamformer- aided SVM algorithms,.

Machine Learning for Spectrum Sharing: A Survey Spatio-temporal spectrum sensing in cognitive radio networks using beamformer- aided SVM algorithms,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.329167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d29bf5e-8d25-4dc3-8a6c-e462dc6255e4 · outbound

This paper cites Spectrum sensing by higher-order SVM-based detection,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sensing by higher-order SVM-based detection,

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.333498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c708ee2-58f3-415f-881f-101ff937dd98 · outbound

This paper cites An optimized spectrum sensing implementation based on SVM, KNN and tree algorithms,.

Machine Learning for Spectrum Sharing: A Survey An optimized spectrum sensing implementation based on SVM, KNN and tree algorithms,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.315313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9e3522-7244-4b6f-a7fd-bee51c55a706 · outbound

This paper cites SDR-implementation of a support vector machine-assisted covariance-based spectrum sensing algo- rithm in the presence of correlated noise,.

Machine Learning for Spectrum Sharing: A Survey SDR-implementation of a support vector machine-assisted covariance-based spectrum sensing algo- rithm in the presence of correlated noise,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.341592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c24a00-e21f-4d33-a60d-b2e00dc916fb · outbound

This paper cites An SVM-based feature detec- tion scheme for spatial spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey An SVM-based feature detec- tion scheme for spatial spectrum sensing,

Reference 70

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.345827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a365235-45b1-4440-9a07-f51d64ec47e3 · outbound

This paper cites Performance analysis of support vector machine-based classifier for spectrum sensing in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Performance analysis of support vector machine-based classifier for spectrum sensing in cognitive radio networks,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.349964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca91806-3896-474b-9a3e-c7f23c65e666 · outbound

This paper cites Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Machine learning techniques with probability vector for cooperative spectrum sensing in cognitive radio networks,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.354028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25aea0e-6d81-4c19-84c7-33941f8824ee · outbound

This paper cites Eigenvalue and support vector machine techniques for spectrum sensing in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Eigenvalue and support vector machine techniques for spectrum sensing in cognitive radio networks,

Reference 73

Resolution: malformed identifier; doi_truncated, observed 2026-08-12T10:39:21.855469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e58c5011-d08c-4dc1-a734-23855837aecd · outbound

This paper cites Machine learning to data fusion approach for cooperative spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey Machine learning to data fusion approach for cooperative spectrum sensing,

Reference 74

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.821241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf4c1aa5-2dbf-4da7-96b7-d9cd4f27b238 · outbound

This paper cites Kernel-based learning for statistical signal processing in cognitive radio net- works: Theoretical foundations, example applications, and future directions,.

Machine Learning for Spectrum Sharing: A Survey Kernel-based learning for statistical signal processing in cognitive radio net- works: Theoretical foundations, example applications, and future directions,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.374277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9663e08-1935-4e06-b974-aa93433a3942 · outbound

This paper cites Mobile collaborative spectrum sensing for heterogeneous networks: A bayesian machine learning approach,.

Machine Learning for Spectrum Sharing: A Survey Mobile collaborative spectrum sensing for heterogeneous networks: A bayesian machine learning approach,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.379008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab31000-b2b2-4379-a2f5-2f405208fdf4 · outbound

This paper cites When machine learning meets compressive sampling for wideband spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey When machine learning meets compressive sampling for wideband spectrum sensing,

Reference 77

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.805630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 771c9149-d451-427f-96ae-9af7da043712 · outbound

This paper cites A comparative assessment of classification meth- ods,.

Machine Learning for Spectrum Sharing: A Survey A comparative assessment of classification meth- ods,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.358607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f996823-c3af-4ff2-b58f-2f6eb2f80019 · outbound

This paper cites An novel spectrum sensing scheme com- bined with machine learning,.

Machine Learning for Spectrum Sharing: A Survey An novel spectrum sensing scheme com- bined with machine learning,

Reference 79

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.392704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 202095a2-9951-441e-bfc8-355111431157 · outbound

This paper cites Deep cooperative spectrum sensing based on residual neural network using feature extraction and random forest clas- sifier,.

Machine Learning for Spectrum Sharing: A Survey Deep cooperative spectrum sensing based on residual neural network using feature extraction and random forest clas- sifier,

Reference 80

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.789688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1eadf69-2e8e-4f5f-981d-a0392e401f3b · outbound

This paper cites Green spectrum sharing framework in B5G era by exploiting crowdsensing,.

Machine Learning for Spectrum Sharing: A Survey Green spectrum sharing framework in B5G era by exploiting crowdsensing,

Reference 81

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.400978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65bc4ad4-3138-4a3f-822c-f19e5718bfb8 · outbound

This paper cites A pso-based weighting method to enhance machine learn- ing techniques for cooperative spectrum sensing in cr networks,.

Machine Learning for Spectrum Sharing: A Survey A pso-based weighting method to enhance machine learn- ing techniques for cooperative spectrum sensing in cr networks,

Reference 82

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.774721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83196531-b0d7-446e-898e-0a51e14492bb · outbound

This paper cites A sticky HDP-HMM with application to speaker diarization,.

Machine Learning for Spectrum Sharing: A Survey A sticky HDP-HMM with application to speaker diarization,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.410205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14fd3403-3e21-4d97-8dc7-0d2289f413ec · outbound

This paper cites Machine learning based cooperative spec- trum sensing using regression methods,.

Machine Learning for Spectrum Sharing: A Survey Machine learning based cooperative spec- trum sensing using regression methods,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.388096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d10ce1-88d5-47cf-92f6-e9dce7172e66 · outbound

This paper cites Artificial neural network based hybrid spectrum sensing scheme for cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Artificial neural network based hybrid spectrum sensing scheme for cognitive radio,

Reference 85

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.419528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6fcf0c-7362-47eb-9347-e3ea89b8891a · outbound

This paper cites Ad- versarial learning-based spectrum sensing in cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Ad- versarial learning-based spectrum sensing in cognitive radio,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.424206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f08a1cb1-4abd-40fe-9d2e-36da36201aa9 · outbound

This paper cites Blockchain and extreme learn- ing machine based spectrum management in cognitive radio networks,.

Machine Learning for Spectrum Sharing: A Survey Blockchain and extreme learn- ing machine based spectrum management in cognitive radio networks,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.428774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d63124-2f88-4825-8fbb-e9f8fe47f51e · outbound

This paper cites Spectrum sensing based on deep learning classification for cognitive radios,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sensing based on deep learning classification for cognitive radios,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.432887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f9ff9c-9722-4c4d-a81f-ec398b4f3bf8 · outbound

This paper cites Deep cooperative sensing: Cooper- ative spectrum sensing based on convolutional neural networks,.

Machine Learning for Spectrum Sharing: A Survey Deep cooperative sensing: Cooper- ative spectrum sensing based on convolutional neural networks,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.437905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06f09aeb-0401-4aec-ad09-aaf6bf6c3a63 · outbound

This paper cites Artificial neural network based spectrum sensing method for cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Artificial neural network based spectrum sensing method for cognitive radio,

Reference 90

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.760736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06fa07eb-259e-4d3d-9b73-f703d0fb6775 · outbound

This paper cites Deep CNN for spectrum sensing in cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Deep CNN for spectrum sensing in cognitive radio,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.446685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b67e9b1a-879e-430e-80be-4d835e88463e · outbound

This paper cites Activity pattern aware spectrum sensing: A cnn-based deep learning approach,.

Machine Learning for Spectrum Sharing: A Survey Activity pattern aware spectrum sensing: A cnn-based deep learning approach,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.451234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e9a5fc-48d8-4eac-854f-8eda4c389257 · outbound

This paper cites Deep learning classification of 3.5-GHz band spectro- grams with applications to spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey Deep learning classification of 3.5-GHz band spectro- grams with applications to spectrum sensing,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.455996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3244a7c-18f5-4b2e-b16a-9727bc8420f7 · outbound

This paper cites Graph learning for multi-satellite based spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey Graph learning for multi-satellite based spectrum sensing,

Reference 95

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.465478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6f7cf9-652f-49f3-9ee6-46ada01a5457 · outbound

This paper cites Deep cm-cnn for spec- trum sensing in cognitive radio,.

Machine Learning for Spectrum Sharing: A Survey Deep cm-cnn for spec- trum sensing in cognitive radio,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.442166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18d8fae-5134-44a1-a6c9-90528fbb2664 · outbound

This paper cites Over-the-air deep learn- ing based radio signal classification,.

Machine Learning for Spectrum Sharing: A Survey Over-the-air deep learn- ing based radio signal classification,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.474797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a8c28d-811b-45ee-8f8e-69586a735590 · outbound

This paper cites Machine learning empow- ered spectrum sensing under a sub-sampling framework,.

Machine Learning for Spectrum Sharing: A Survey Machine learning empow- ered spectrum sensing under a sub-sampling framework,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.478698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff63e1f5-f78d-4ba4-aba0-5eb46f460a42 · outbound

This paper cites ChARM: NextG spec- trum sharing through data-driven real-time O-RAN dynamic control,.

Machine Learning for Spectrum Sharing: A Survey ChARM: NextG spec- trum sharing through data-driven real-time O-RAN dynamic control,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.482966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259f9f8a-7a65-4040-8fa1-8f93265c6a68 · outbound

This paper cites Cooperative spectrum sensing based on LSTM-CNN combination network in cognitive radio system,.

Machine Learning for Spectrum Sharing: A Survey Cooperative spectrum sensing based on LSTM-CNN combination network in cognitive radio system,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T10:39:20.486813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ceeb05a-c189-4a74-8794-f95c3bcb9c11 · outbound

This paper cites Hierarchical coop- erative LSTM-based spectrum sensing,.

Machine Learning for Spectrum Sharing: A Survey Hierarchical coop- erative LSTM-based spectrum sensing,

Reference 101

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:39:20.491178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a49017-cf47-44a7-af67-9188e9fce7c8 · outbound

This paper cites Spectrum sensing for cognitive radio based on convolution neural network,.

Machine Learning for Spectrum Sharing: A Survey Spectrum sensing for cognitive radio based on convolution neural network,

Reference 102

Resolution: verified exact; doi, observed 2026-08-12T10:39:21.735310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers