MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems | Paper Citation Record

Observation acef5b3c-b199-48c7-9525-4ca1b8ca1f39 · outbound

This paper cites Ai-ran: Transforming ran with ai-driven computing infrastructure,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Ai-ran: Transforming ran with ai-driven computing infrastructure,

Reference 1

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Observation bee08068-4634-4bcc-84c5-e3d49555ae69 · outbound

This paper cites NR; Medium Access Control (MAC) protocol specification,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems NR; Medium Access Control (MAC) protocol specification,

Reference 2

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Observation 3147988b-0884-4de9-b9b1-e854af3873c9 · outbound

This paper cites Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks,

Reference 3

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Observation 8e240e8f-7754-4a4c-be8b-7faff88b530b · outbound

This paper cites Proportional fair frequency-domain packet scheduling for 3GPP LTE uplink,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Proportional fair frequency-domain packet scheduling for 3GPP LTE uplink,

Reference 4

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Observation fab8cce6-61e4-4cb8-9c82-72efc2eb8d03 · outbound

This paper cites Learn to Schedule (LEASCH): A Deep Reinforcement Learning Approach for Radio Resource Schedul- ing in the 5G MAC Layer,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Learn to Schedule (LEASCH): A Deep Reinforcement Learning Approach for Radio Resource Schedul- ing in the 5G MAC Layer,

Reference 5

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Observation 208ff2c3-31f2-4e50-94da-472fd08f5783 · outbound

This paper cites From simulation to practice: Gen- eralizable deep reinforcement learning for cellular schedulers,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems From simulation to practice: Gen- eralizable deep reinforcement learning for cellular schedulers,

Reference 6

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Observation f6611929-707f-4dd1-80fc-5ccf12f081cf · outbound

This paper cites ColO-RAN: Developing machine learning-based xApps for open RAN closed-loop control on programmable experimental platforms,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems ColO-RAN: Developing machine learning-based xApps for open RAN closed-loop control on programmable experimental platforms,

Reference 7

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Observation 2b3c3e6c-7a58-4a5b-b560-b7be17ae425c · outbound

This paper cites dApps: Distributed applications for real-time inference and control in O-RAN,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems dApps: Distributed applications for real-time inference and control in O-RAN,

Reference 8

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Observation 833779f3-7d6a-43d0-8c1d-84ee03d3cd3c · outbound

This paper cites Real: Reinforcement learning-enabled xapps for experimental closed-loop optimization in o- ran with osc ric and srsran,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Real: Reinforcement learning-enabled xapps for experimental closed-loop optimization in o- ran with osc ric and srsran,

Reference 9

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Observation a571f902-f14e-408c-8be3-0fa9364e73c5 · outbound

This paper cites dApps: Enabling real-time AI-based open RAN control,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems dApps: Enabling real-time AI-based open RAN control,

Reference 10

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Observation 2fda5c81-57a5-4a4a-850a-44be3bb14f70 · outbound

This paper cites The ns-3 network simulator,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems The ns-3 network simulator,

Reference 11

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Observation eb608555-fc9a-433c-8b69-b0a0b4295065 · outbound

This paper cites Refactor DLSCH/ULSCH scheduler: Extract the proportional-fair policy behind a function-pointer interface,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Refactor DLSCH/ULSCH scheduler: Extract the proportional-fair policy behind a function-pointer interface,

Reference 12

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Observation 209d623c-62d4-4162-8392-430e5ac8733d · outbound

This paper cites AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling

Reference 13

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Observation 177b3ec4-a45d-41bd-8345-95e5b755cf32 · outbound

This paper cites Agentran: An agentic ai architecture for autonomous control of open 6g networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Agentran: An agentic ai architecture for autonomous control of open 6g networks,

Reference 14

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Observation 85dd3ac8-6fa0-47d7-9d08-d890de9b8f3f · outbound

This paper cites Characterizing and modeling mobile networks user traffic at millisecond level,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Characterizing and modeling mobile networks user traffic at millisecond level,

Reference 15

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Observation 1efe599d-7cd8-41b6-b9f0-a77166d2960d · outbound

This paper cites Network simulations with the ns-3 simulator,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Network simulations with the ns-3 simulator,

Reference 16

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Observation fc8fcf12-687b-4ddb-bf33-8da84a7f3003 · outbound

This paper cites X5G: An Open, Programmable, Multi-vendor, End-to-end, Private 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems X5G: An Open, Programmable, Multi-vendor, End-to-end, Private 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface,

Reference 17

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Observation b4debc85-c425-4e82-848c-4610c6e030c7 · outbound

This paper cites Colosseum: Large- scale wireless experimentation through hardware-in-the-loop network emulation,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Colosseum: Large- scale wireless experimentation through hardware-in-the-loop network emulation,

Reference 18

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Observation 0d0320f7-d67b-4076-ab53-31442c7d337a · outbound

This paper cites Open ai cellular (oaic): An open source 5g o-ran testbed for design and testing of ai-based ran management algorithms,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Open ai cellular (oaic): An open source 5g o-ran testbed for design and testing of ai-based ran management algorithms,

Reference 19

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Observation e14404e6-b8b7-407c-8dca-7fe0f02f6df4 · outbound

This paper cites 5gperf: profiling open source 5g ran components under different architectural deployments,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems 5gperf: profiling open source 5g ran components under different architectural deployments,

Reference 20

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Observation 3a10999d-2f9e-44cb-874a-6a28fdfc7303 · outbound

This paper cites Evaluating open-source 5g sa testbeds: Unveiling performance disparities in ran scenarios,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Evaluating open-source 5g sa testbeds: Unveiling performance disparities in ran scenarios,

Reference 21

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Observation bcff7ca5-4539-408f-add8-e4015e2631a9 · outbound

This paper cites Tiny- twin: A cpu-native full-stack digital twin for nextg cellular networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Tiny- twin: A cpu-native full-stack digital twin for nextg cellular networks,

Reference 22

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Observation 3ae0da4d-9bd5-4467-91ee-5077b759013f · outbound

This paper cites Available: https://gitlab.eurecom.fr/oai/openairinterface5g/ -/merge requests/3902.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Available: https://gitlab.eurecom.fr/oai/openairinterface5g/ -/merge requests/3902

Reference 23

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Observation 1784357b-560b-4c84-8bab-942232d7322e · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 24

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Observation fbeef755-4744-4609-ac78-7f3c4f3d76df · outbound

This paper cites New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks,

Reference 25

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Observation 06ccb985-f396-49ca-8c02-799072ff993f · outbound

This paper cites Openairlink: Reproducible wireless channel emulation using software defined radios,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Openairlink: Reproducible wireless channel emulation using software defined radios,

Reference 26

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Observation ae2e0373-937d-4bb1-9d57-0bbf7d3ccc23 · outbound

This paper cites NR; Physical layer procedures for data,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems NR; Physical layer procedures for data,

Reference 27

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Observation f5b91b69-5a76-43d0-acb6-8cd64193c2ed · outbound

This paper cites Multi-generator (MGEN) network test tool,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Multi-generator (MGEN) network test tool,

Reference 28

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Observation 6fbad8a5-8ff5-48c6-b482-8ea43a80ddaf · outbound

This paper cites Service requirements for the 5G system,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Service requirements for the 5G system,

Reference 29

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Observation 58b30bba-5670-4ef0-b53a-818cb9b6b5f9 · outbound

This paper cites Wireless Access for Ultra-Reliable Low-Latency Communications: Principles and Building Blocks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Wireless Access for Ultra-Reliable Low-Latency Communications: Principles and Building Blocks,

Reference 30

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Observation 9d81e29c-b1eb-4e18-a88a-64386efcdc19 · outbound

This paper cites Enhancing URLLC Uplink Configured-Grant Transmissions,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Enhancing URLLC Uplink Configured-Grant Transmissions,

Reference 31

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Observation eedc7927-9a02-4555-8fea-e82db81ddd5e · outbound

This paper cites AutoRAN: Automated and Zero-Touch Open RAN Systems,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems AutoRAN: Automated and Zero-Touch Open RAN Systems,

Reference 32

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Observation 0aaa3623-9a85-47fd-9165-3286b2807145 · outbound

This paper cites LTE frequency selective scheduling performance and improvements assessed by measurements,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems LTE frequency selective scheduling performance and improvements assessed by measurements,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T00:58:41.108846Z

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Observation 34f5d4c7-0f8c-45d8-9207-351ceeeb9a28 · outbound

This paper cites NR; Physical layer procedures for control,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems NR; Physical layer procedures for control,

Reference 34

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Observation 18b184b1-226c-4961-8283-b9768b20897c · outbound

This paper cites Multiuser OFDM with adaptive subcarrier, bit, and power allocation,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Multiuser OFDM with adaptive subcarrier, bit, and power allocation,

Reference 35

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Observation 450c06cf-4aee-430d-8a0a-4c89bce2f18f · outbound

This paper cites Increase in capacity of multiuser OFDM system using dynamic subchannel allocation,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Increase in capacity of multiuser OFDM system using dynamic subchannel allocation,

Reference 36

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Observation 285d5071-7349-4bcd-9dd0-f1f72887adfd · outbound

This paper cites SARA: Sub-band aware resource assignment for 5G-LENA,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems SARA: Sub-band aware resource assignment for 5G-LENA,

Reference 37

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Observation e7011bc8-43ff-4313-85e2-c73fbe1327f1 · outbound

This paper cites Fre- quency semi-selective scheduling for a DFT-S-OFDM based uplink,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Fre- quency semi-selective scheduling for a DFT-S-OFDM based uplink,

Reference 38

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Observation a0e904fd-b947-4ff5-b25e-5c4a25a545a7 · outbound

This paper cites Search-tree based uplink channel aware packet scheduling for UTRAN LTE,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Search-tree based uplink channel aware packet scheduling for UTRAN LTE,

Reference 39

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Observation bb4afcc6-a8f3-49e6-abd3-31582ea2661d · outbound

This paper cites A joint modulation-coding scheme and resource allocation in LTE uplink,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems A joint modulation-coding scheme and resource allocation in LTE uplink,

Reference 40

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Observation 8cf4cf18-1872-4ac3-af1e-970af60b3bf0 · outbound

This paper cites Es- timating the doppler spectrum of a short-range fixed wireless channel,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Es- timating the doppler spectrum of a short-range fixed wireless channel,

Reference 41

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Observation 6ae5cfbf-b1bf-4b0a-b072-b0cf845390b0 · outbound

This paper cites On the l ´evy-walk nature of human mobility,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems On the l ´evy-walk nature of human mobility,

Reference 42

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Observation 7f93dc91-e1b2-4cd8-9fd4-6e99fddb9212 · outbound

This paper cites OpenAirInter- face: Democratizing innovation in the 5G cellular ecosystem,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems OpenAirInter- face: Democratizing innovation in the 5G cellular ecosystem,

Reference 43

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Observation 9fb8747a-8c69-48be-a0a1-8dec3ce0f7eb · outbound

This paper cites srsLTE: An open-source platform for LTE evolution and experimenta- tion,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems srsLTE: An open-source platform for LTE evolution and experimenta- tion,

Reference 44

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Observation 44e05532-642f-4ccb-980a-e0d72a427131 · outbound

This paper cites Understanding O-RAN: Architecture, interfaces, algorithms, security, and research challenges,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Understanding O-RAN: Architecture, interfaces, algorithms, security, and research challenges,

Reference 45

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Observation 52bb1114-b8be-46af-9524-267236cc52a5 · outbound

This paper cites FlexRIC: an SDK for next- generation SD-RANs,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems FlexRIC: an SDK for next- generation SD-RANs,

Reference 46

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Observation 1a4c70cf-9680-4d30-8c4b-03e1fb756a1d · outbound

This paper cites POWDER: Platform for open wireless data-driven experimental research,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems POWDER: Platform for open wireless data-driven experimental research,

Reference 47

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Observation 3e05636a-587d-499c-bc6e-303ca7fca85e · outbound

This paper cites Network simulations with the ns-3 simulator,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Network simulations with the ns-3 simulator,

Reference 48

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Observation 83615832-0813-4459-8857-a55ae87a694c · outbound

This paper cites An E2E simulator for 5G NR networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems An E2E simulator for 5G NR networks,

Reference 49

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Observation c150e280-bbe6-4cd1-ad3c-8b45a405d576 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 50

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Observation 6f5119df-57f5-4706-bece-a6d5923c482b · outbound

This paper cites NVIDIA Aerial CUDA-accelerated RAN,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems NVIDIA Aerial CUDA-accelerated RAN,

Reference 51

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Observation 95869ba3-ad1f-4c2d-ad4e-b6cdb2b346b0 · outbound

This paper cites 5g-emane: Scalable open-source real-time 5g new radio network emulator with emane,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems 5g-emane: Scalable open-source real-time 5g new radio network emulator with emane,

Reference 52

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Observation 8e85207c-0acd-46b1-abb4-bf6a235fdcd1 · outbound

This paper cites A First Large-Scale Study of Operational 5G Standalone Networks,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems A First Large-Scale Study of Operational 5G Standalone Networks,

Reference 53

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Observation 973cd5d5-cc0b-4fc5-ac51-2afcbed1a778 · outbound

This paper cites DRL-Based Joint Resource Scheduling of eMBB and URLLC in O-RAN,.

MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems DRL-Based Joint Resource Scheduling of eMBB and URLLC in O-RAN,

Reference 54

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