AoI-Aware Resource Allocation With Interference Avoidance for Ultradense Industrial Internet of Things Networks-Reference-Cited by-同舟云学术

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AoI-Aware Resource Allocation With Interference Avoidance for Ultradense Industrial Internet of Things Networks

Published:2024-09-01 Issue:17 Volume:11 Page:28787-28797
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Huang Jie¹^ORCID,Yu Tao¹^ORCID,Yang Fan¹^ORCID,Zhang Shilong¹^ORCID,Jiang Weiheng²^ORCID,Niyato Dusit³^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing, China

2. School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10535996.pdf?arnumber=10535996

Reference46 articles.

1. AI Models for Green Communications Towards 6G

2. Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude for Smart Systems in Smart Cities

3. Opportunistic capacity based resource allocation for 6G wireless systems with network slicing

4. Reinforcement Learning Based Resource Management for 6G-Enabled mIoT With Hypergraph Interference Model

5. Hypergraph-Based Resource-Efficient Collaborative Reinforcement Learning for B5G Massive IoT

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mutual-Interference-Aware Throughput Enhancement in Massive IoT: A Graph Reinforcement Learning Framework;IEEE Internet of Things Journal;2024-09-15

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