Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective | Paper Citation Record

Observation a26d356b-b074-4cc2-bd88-a79f6e56f2d9 · outbound

This paper cites Deep learning,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep learning,

Reference 1

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Observation 882852ef-cb05-4786-966c-76f9edfa26b3 · outbound

This paper cites You only look once: Unified, real-time object detection,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective You only look once: Unified, real-time object detection,

Reference 2

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Observation 4dbea8de-83d7-4da6-b0be-c0ad7ebb8dc5 · outbound

This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,

Reference 3

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Observation dd22be07-4c46-4856-97d6-e798ce397cf4 · outbound

This paper cites Cognitive radio: An integrated agent architecture for software defined radio,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Cognitive radio: An integrated agent architecture for software defined radio,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:07.934811Z

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Observation 5a6ff192-c906-45ca-a2fa-6819d273d857 · outbound

This paper cites Cognitive radio: brain-empowered wireless communica- tions,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Cognitive radio: brain-empowered wireless communica- tions,

Reference 5

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Observation 1ceea037-6ccb-4791-a8be-317f76722a37 · outbound

This paper cites An introduction to deep learning for the physical layer,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective An introduction to deep learning for the physical layer,

Reference 6

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Observation 43971b09-e23f-4e55-834d-e5c82c8dd5d3 · outbound

This paper cites Deep learning based communication over the air,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep learning based communication over the air,

Reference 7

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Observation f94e9408-56a8-4c40-befa-1d833c89fa5b · outbound

This paper cites Massive MIMO is a reality—what is next?: Five promising research directions for antenna arrays,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Massive MIMO is a reality—what is next?: Five promising research directions for antenna arrays,

Reference 8

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Observation aaba800e-bde5-4ca6-87fc-54831dab9b67 · outbound

This paper cites The roadmap to 6G: AI empowered wireless networks,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective The roadmap to 6G: AI empowered wireless networks,

Reference 9

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Observation c4468b1b-2d61-49bd-9c76-89bcccb7ecc3 · outbound

This paper cites Study on enhancement for data collection for NR and EN-DC,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Study on enhancement for data collection for NR and EN-DC,

Reference 10

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Observation 05fce555-f365-4aa1-85a1-7ac5f994f6b5 · outbound

This paper cites On integrated cooperative radio sensing for spatial electromagnetic analysis in 6G,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective On integrated cooperative radio sensing for spatial electromagnetic analysis in 6G,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:08.719728Z

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Observation a14bd982-80a9-4853-9a24-db99e7801bb8 · outbound

This paper cites Embracing AI in 5G-advanced toward 6G: A joint 3GPP and O-RAN perspective,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Embracing AI in 5G-advanced toward 6G: A joint 3GPP and O-RAN perspective,

Reference 12

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Observation f0e71aa5-6810-47b9-b528-5f9dba470f18 · outbound

This paper cites Artificial intelligence in 3GPP 5G-Advanced: A survey,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Artificial intelligence in 3GPP 5G-Advanced: A survey,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:09.000212Z

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Observation 5220b062-c178-4c41-9ffe-3920792667a5 · outbound

This paper cites Feasibility study on integrated sensing and communication,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Feasibility study on integrated sensing and communication,

Reference 14

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Observation 1d4b7c11-816a-4665-b115-a031d2928255 · outbound

This paper cites AI-enhanced integrated sensing and communications: Advancements, challenges, and prospects,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective AI-enhanced integrated sensing and communications: Advancements, challenges, and prospects,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:09.204917Z

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Observation b5ec333c-8256-41b6-84d8-499b35beb968 · outbound

This paper cites Integrated sensing and communication driven digital twin for intelligent machine network,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Integrated sensing and communication driven digital twin for intelligent machine network,

Reference 16

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Observation afac0457-27c8-425a-9159-db355c7bf623 · outbound

This paper cites (2024) 6G explained.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective (2024) 6G explained

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:09.462374Z

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Observation efd63a61-8825-4f4f-a9e6-0e4711522722 · outbound

This paper cites (2024) White paper: Co-creating a cyber-physical world.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective (2024) White paper: Co-creating a cyber-physical world

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:09.543120Z

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Observation f405b19a-b86f-4734-a1b8-4102510909b9 · outbound

This paper cites an unresolved cited work.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:09.605799Z

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Observation 7493af86-2cf5-4fac-90f5-4c425508fda5 · outbound

This paper cites Obiodu, K.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Obiodu, K

Reference 20

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Observation 90056e9a-3120-4c57-a2c9-44ff27374a5f · outbound

This paper cites Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN

Reference 21

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Observation 1a1248e0-170d-4559-aa36-0d077a19602d · outbound

This paper cites A survey of artificial intelligence for cognitive radios,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A survey of artificial intelligence for cognitive radios,

Reference 22

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Observation 0d302ba1-1d5c-4dc9-9331-f640e5b3b5a8 · outbound

This paper cites A survey on machine- learning techniques in cognitive radios,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A survey on machine- learning techniques in cognitive radios,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.013929Z

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Observation a73a3e24-1a96-4f53-ad0f-ecba7dece6e7 · outbound

This paper cites Convergent communication, sensing and localiza- tion in 6G systems: An overview of technologies, opportunities and challenges,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Convergent communication, sensing and localiza- tion in 6G systems: An overview of technologies, opportunities and challenges,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.150858Z

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Observation aaee10eb-d9cd-440a-bed3-d58f36da79f5 · outbound

This paper cites Integrated sensing and communications: Toward dual- functional wireless networks for 6G and beyond,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Integrated sensing and communications: Toward dual- functional wireless networks for 6G and beyond,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.321257Z

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Observation 684a7c34-0b92-45fd-b105-7b6e731d8e86 · outbound

This paper cites Integrated sensing and communication for 6G: Ten key machine learning roles,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Integrated sensing and communication for 6G: Ten key machine learning roles,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.484057Z

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Observation 4341529e-56bb-4518-928d-840ce40e5e33 · outbound

This paper cites Joint radar and communications: Architectures, use cases, aspects of radio access, signal processing, and hardware,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Joint radar and communications: Architectures, use cases, aspects of radio access, signal processing, and hardware,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.595611Z

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Observation 72900e1c-17a8-4885-97e3-6c9f124cb1e4 · outbound

This paper cites A survey on machine learning enhanced integrated sensing and communication systems: Architectures, algorithms, and applications,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A survey on machine learning enhanced integrated sensing and communication systems: Architectures, algorithms, and applications,

Reference 28

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Observation c113a166-410c-44b0-88f8-57e63c374940 · outbound

This paper cites Advances in machine learning-driven cognitive radio for wireless networks: A survey,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Advances in machine learning-driven cognitive radio for wireless networks: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:10.866894Z

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Observation 8e436188-4aa4-4e3d-83ed-17940f294ae2 · outbound

This paper cites From 5G to 6G networks: A survey on AI-based jamming and interference detection and mitigation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective From 5G to 6G networks: A survey on AI-based jamming and interference detection and mitigation,

Reference 30

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Observation 86223516-a9d4-47a7-9242-0fa4cf2b2df0 · outbound

This paper cites The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:11.146753Z

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Observation bb40e9ac-c1b9-4ff0-a088-ed34b334c420 · outbound

This paper cites Integrated sensing and communications: Recent advances and ten open challenges,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Integrated sensing and communications: Recent advances and ten open challenges,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:11.276031Z

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Observation d3c53291-3f17-4ff3-ad34-cb88107ea92b · outbound

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

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep neural networks for spectrum sensing: A review,

Reference 33

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Observation 08bc4cfa-84c7-4c0c-8635-3480b5c05252 · outbound

This paper cites Machine learning for spectrum sharing: A survey,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Machine learning for spectrum sharing: A survey,

Reference 34

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Observation a8678bf0-9976-44e1-8327-bfe5bac4de1a · outbound

This paper cites A survey on integrated sensing, communication, and computation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A survey on integrated sensing, communication, and computation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:11.581163Z

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This paper cites Toward distributed and intelligent integrated sensing and communications for 6G networks,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Toward distributed and intelligent integrated sensing and communications for 6G networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:11.729970Z

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Observation 886f23ae-5f0a-488c-bcc4-ef551dd2349d · outbound

This paper cites Distributed intelligent integrated sensing and communications: The 6G-DISAC approach,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Distributed intelligent integrated sensing and communications: The 6G-DISAC approach,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:11.894573Z

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Observation ed5a09ae-fcd6-43cb-bb56-9d4a242676c0 · outbound

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Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Unresolved cited work

Reference 38

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Observation 6d7c785f-bcfe-426d-a9fa-f17ebbac1e44 · outbound

This paper cites Goldsmith, Wireless Communications.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Goldsmith, Wireless Communications

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.199566Z

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This paper cites Rappaport, Wireless communications: Principles and practice , 2nd ed., ser.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Rappaport, Wireless communications: Principles and practice , 2nd ed., ser

Reference 40

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Observation e6f65f72-4a95-401a-a92b-e208c0f3c632 · outbound

This paper cites A survey of reinforcement learning algorithms for dynamically varying environments,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A survey of reinforcement learning algorithms for dynamically varying environments,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.312613Z

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Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective LeCun and Y

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.370726Z

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This paper cites Attention is all you need,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Attention is all you need,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.403129Z

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This paper cites Study on channel model for frequencies from 0.5 to 100 GHz (3GPP TR 38.901 version 16.1.0 Release 16),.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Study on channel model for frequencies from 0.5 to 100 GHz (3GPP TR 38.901 version 16.1.0 Release 16),

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.455026Z

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Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective QuaDRiGa: a MIMO channel model for land mobile satellite,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.465795Z

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Observation d3a9a158-2685-44b7-89f4-c8cd11f5e59c · outbound

This paper cites Sionna RT: Differentiable ray tracing for radio propagation modeling,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Sionna RT: Differentiable ray tracing for radio propagation modeling,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.530936Z

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Observation 8205fcce-8a00-4164-87a1-e96f0c8c437f · outbound

This paper cites Wireless InSite,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Wireless InSite,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.536790Z

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Observation c088caa5-addc-4a62-a78d-120d199851a0 · outbound

This paper cites DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.548130Z

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Observation 614996cd-6447-4b79-b305-db603869dacd · outbound

This paper cites NIST NextG Channel Model Alliance,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective NIST NextG Channel Model Alliance,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.550501Z

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Observation 6d084adc-d016-480e-b819-305c49f364fb · outbound

This paper cites On the complex backpropagation algorithm,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective On the complex backpropagation algorithm,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.553022Z

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Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Model-based deep learning,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.555382Z

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This paper cites ISAC- NET: Model-driven deep learning for integrated passive sensing and communication,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective ISAC- NET: Model-driven deep learning for integrated passive sensing and communication,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.557638Z

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Observation fb217f4b-cb7d-4a89-820c-ffe90ed4c660 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Training spiking neural networks using lessons from deep learning,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.560112Z

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This paper cites Neuromorphic integrated sensing and communications,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Neuromorphic integrated sensing and communications,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.562666Z

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Observation b658ae73-1423-4197-bad2-e8d716d6b76c · outbound

This paper cites Cooperative passive coherent location: A promising 5g service to support road safety,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Cooperative passive coherent location: A promising 5g service to support road safety,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.565283Z

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Observation 3965d0b8-51f9-4c9e-a66c-e1cdaa40f083 · outbound

This paper cites On the fundamental tradeoff of integrated sensing and communications under gaussian channels,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective On the fundamental tradeoff of integrated sensing and communications under gaussian channels,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.568041Z

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Observation f6a4b025-36c0-451d-b921-8bdd16d76ce5 · outbound

This paper cites Deep reinforcement learning-based resource allocation for integrated sensing, communi- cation, and computation in vehicular network,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep reinforcement learning-based resource allocation for integrated sensing, communi- cation, and computation in vehicular network,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.570413Z

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This paper cites Optimal resource allocation for integrated sensing and communications in internet of vehicles: A deep reinforcement learning approach,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Optimal resource allocation for integrated sensing and communications in internet of vehicles: A deep reinforcement learning approach,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.573089Z

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Observation 8537dd22-d14c-4269-8d99-f0fae62a42a2 · outbound

This paper cites Loss design for single-carrier joint communication and neural network-based sensing,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Loss design for single-carrier joint communication and neural network-based sensing,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.575612Z

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This paper cites End-to-end learning for integrated sensing and communication,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective End-to-end learning for integrated sensing and communication,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.577887Z

Source-reported events for the cited work

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Observation 775e0845-6609-4ab2-a6e4-5928c19559d8 · outbound

This paper cites Autoencoder-based joint communication and sensing of multiple targets,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Autoencoder-based joint communication and sensing of multiple targets,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.580323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5921342e-d4aa-4983-b4e0-c95394dc70ee · outbound

This paper cites A deep-NN beamforming approach for dual function radar-communication THz UA V,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A deep-NN beamforming approach for dual function radar-communication THz UA V,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.582553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d618e5-7f7e-4828-b9dd-950eff05b899 · outbound

This paper cites Joint communications and sensing hybrid beamforming design via deep unfolding,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Joint communications and sensing hybrid beamforming design via deep unfolding,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.585093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9eb04c2-56e0-4dc6-84ee-2e79a50e8663 · outbound

This paper cites Constellation design for integrated sensing and communication with random waveforms,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Constellation design for integrated sensing and communication with random waveforms,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.587407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec81874-1245-4c8e-b1d1-9be5a33ac2fb · outbound

This paper cites Joint optimization of geometric and probabilistic constellation shaping for OFDM-ISAC systems,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Joint optimization of geometric and probabilistic constellation shaping for OFDM-ISAC systems,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.589692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b08989c-44ac-4d11-802c-3be60dfc49e3 · outbound

This paper cites an unresolved cited work.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.592742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78702202-0d7d-438a-8567-0b50f727443e · outbound

This paper cites End-to-end learning of waveform generation and detection for radar systems,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective End-to-end learning of waveform generation and detection for radar systems,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.595021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1920bb5-15b7-49ed-8fd9-16b582646fc9 · outbound

This paper cites Vehicle detection with automotive radar using deep learning on range-azimuth-doppler tensors,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Vehicle detection with automotive radar using deep learning on range-azimuth-doppler tensors,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.597371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0554e6af-338e-4c1a-80a5-1c31020b37e4 · outbound

This paper cites Debrisense: Terahertz-based integrated sens- ing and communications (isac) for debris detection and classification in the internet of space (ios),.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Debrisense: Terahertz-based integrated sens- ing and communications (isac) for debris detection and classification in the internet of space (ios),

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.599804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 640d0294-2f59-4cd8-a74d-700f533fe116 · outbound

This paper cites Benchmarking CFAR and CNN-based Peak Detection Algorithms in ISAC under Hardware Impairments.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Benchmarking CFAR and CNN-based Peak Detection Algorithms in ISAC under Hardware Impairments

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:13.037141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adfbe31f-8bdf-4c46-aa22-759c7481874a · outbound

This paper cites Wireless propagation parameter estimation with convolutional neural networks,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Wireless propagation parameter estimation with convolutional neural networks,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.605547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27e825d-f725-4a03-8689-dc81eb2a6b1e · outbound

This paper cites Measurement testbed for radar and emitter localiza- tion of uav at 3.75 ghz,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Measurement testbed for radar and emitter localiza- tion of uav at 3.75 ghz,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.608172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb942490-9d98-4fc1-9771-593d474562da · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective You Only Look Once: Unified, Real-Time Object Detection

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.610676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c783e8-d035-4c5c-a292-d706c616a843 · outbound

This paper cites Wireless propagation parameter estimation with convolutional neural networks (under review),.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Wireless propagation parameter estimation with convolutional neural networks (under review),

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.613386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120ac40c-92c2-450a-8073-f5eb361b9c55 · outbound

This paper cites Richter, Estimation of radio channel parameters: models and algorithms.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Richter, Estimation of radio channel parameters: models and algorithms

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.615948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77000af-ad3f-4c63-80f5-809ed1918509 · outbound

This paper cites Distributed computing and model-based estimation for integrated communications and sensing: A roadmap,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Distributed computing and model-based estimation for integrated communications and sensing: A roadmap,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.618631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844115c2-a84f-460a-8443-9d5d3d112b43 · outbound

This paper cites Detection and estimation in sensor arrays using weighted subspace fitting,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Detection and estimation in sensor arrays using weighted subspace fitting,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.621409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce009dd-cd70-4ee9-894e-d7c7a61781e3 · outbound

This paper cites Maximum likelihood methods for direction- of-arrival estimation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Maximum likelihood methods for direction- of-arrival estimation,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.624092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d355db47-eb07-4174-a83e-1690d1b884c2 · outbound

This paper cites Genetic algorithms for maximum likelihood parameter estimation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Genetic algorithms for maximum likelihood parameter estimation,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.626870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17cc07d1-a34f-4045-8554-05d9e377a60e · outbound

This paper cites Deep learning-based DOA estimation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep learning-based DOA estimation,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.629254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f221f33-d017-48d2-97fa-529f7f2fd4c4 · outbound

This paper cites A deep learning based super resolution DoA estimator with single snapshot MIMO radar data,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A deep learning based super resolution DoA estimator with single snapshot MIMO radar data,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.631926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45da973a-dcf7-43c7-b178-0b5ce17c7116 · outbound

This paper cites Sdoa-net: An efficient deep-learning-based DOA estimation network for imperfect array,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Sdoa-net: An efficient deep-learning-based DOA estimation network for imperfect array,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.634858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd907d32-5dcf-4af2-977f-c8eacb59e9f7 · outbound

This paper cites Two-dimensional DOA estimation via deep ensemble learning,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Two-dimensional DOA estimation via deep ensemble learning,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.637487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c9edc6-b2bf-489a-9258-7df43e5a3e59 · outbound

This paper cites Robust DoA estimation using denoising autoencoder and deep neural networks,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Robust DoA estimation using denoising autoencoder and deep neural networks,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.640224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c34f7601-4764-4232-8870-e55530b64e91 · outbound

This paper cites Deep learning-based multipath DoAs estimation method for mmwave massive MIMO systems in low SNR,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep learning-based multipath DoAs estimation method for mmwave massive MIMO systems in low SNR,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.642814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 656393dc-8cf7-477c-8214-e4d4fc9cb147 · outbound

This paper cites Subspacenet: Deep learning-aided subspace methods for DoA estimation,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Subspacenet: Deep learning-aided subspace methods for DoA estimation,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.645249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22ea165-b085-4d69-9dca-c552daf7f0dc · outbound

This paper cites DA-MUSIC: Data-driven DoA estimation via deep augmented MUSIC algorithm,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective DA-MUSIC: Data-driven DoA estimation via deep augmented MUSIC algorithm,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.647880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dfed627-ee8f-4524-a3d6-e7f4d5207842 · outbound

This paper cites Physically parameterized differentiable music for doa estimation with uncalibrated arrays,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Physically parameterized differentiable music for doa estimation with uncalibrated arrays,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.651020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8a5a4c-f089-4d4e-83a0-509647215419 · outbound

This paper cites A machine learning approach to DoA estimation and model order selection for antenna arrays with subarray sampling,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective A machine learning approach to DoA estimation and model order selection for antenna arrays with subarray sampling,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.653612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb53a17-5309-41b9-be34-477344f2414d · outbound

This paper cites Grid-free harmonic retrieval and model order selection using convolutional neural networks,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Grid-free harmonic retrieval and model order selection using convolutional neural networks,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.657080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d65c8e-6a2a-4bbc-954c-01be90ed4e32 · outbound

This paper cites Measurement- based evaluation of cnn-based detection and estimation for ISAC systems,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Measurement- based evaluation of cnn-based detection and estimation for ISAC systems,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.659545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2aced03-2662-4a2b-99b1-cf5b0073ff93 · outbound

This paper cites Radar target classification of commercial aircraft,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Radar target classification of commercial aircraft,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.661920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3e7cf8-e645-481b-83fb-e4c516c1ae60 · outbound

This paper cites Pedestrian classification with 24 GHz chirp sequence radar,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Pedestrian classification with 24 GHz chirp sequence radar,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.664472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84684f08-137e-4d2a-a7d5-4c590064ba1a · outbound

This paper cites Target classification by mmwave FMCW radars using machine learning on range-angle images,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Target classification by mmwave FMCW radars using machine learning on range-angle images,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.667363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e600e7-3b0c-42cf-9d18-7d25403f30b7 · outbound

This paper cites Deepreflecs: Deep learning for automotive object classification with radar reflections,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deepreflecs: Deep learning for automotive object classification with radar reflections,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.669632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe7676e9-1c39-487e-8c5f-0cfc5e5096eb · outbound

This paper cites Deep learning-based object classification on automotive radar spectra,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Deep learning-based object classification on automotive radar spectra,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.672706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ff49a7-cbe0-4ffa-b87d-9a27a25b2722 · outbound

This paper cites Model-based end-to-end learning for multi-target integrated sensing and communication under hardware impairments,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Model-based end-to-end learning for multi-target integrated sensing and communication under hardware impairments,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.676033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5f9b6d-5db3-40e1-b2e6-a87fb0dede51 · outbound

This paper cites Semi-supervised end-to-end learning for integrated sensing and communications,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Semi-supervised end-to-end learning for integrated sensing and communications,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.678686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44483baa-0af7-40e0-b2bb-e88034f66ef6 · outbound

This paper cites Radnet: A radar detection network for target detection using 3D range-angle-doppler tensor,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Radnet: A radar detection network for target detection using 3D range-angle-doppler tensor,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.681009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbc5d19-2640-40b2-ac76-4c276b9541cb · outbound

This paper cites Squeezenet-based range, angle, and doppler estimation for automotive MIMO radar systems,.

Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective Squeezenet-based range, angle, and doppler estimation for automotive MIMO radar systems,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:12.683290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers