Generalized superimposed training for RIS-aided cell-free massive MIMO-OFDM networks
Author:
Affiliation:
1. Institute for Digital Communications, The University of Edinburgh, Edinburgh, EH9 3FG, UK
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/5449605/9946981/09946985.pdf?arnumber=9946985
Cited by 3 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. Multi-Agent Federated Reinforcement Learning Strategy for Mobile Virtual Reality Delivery Networks;IEEE Transactions on Network Science and Engineering;2024-01
2. A Rate-Splitting Approach for RIS-Aided Massive MIMO Networks with Transceiver Design;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25
3. Transceiver Design for IRS-Aided Massive MIMO Networks With Rate-Splitting;IEEE Access;2023
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