Distributed Precoding for Virtual Sum-Rate Maximization in Network Massive MIMO Systems
Author:
Affiliation:
1. Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118785.pdf?arnumber=10118785
Reference14 articles.
1. Robust Transmission for Massive MIMO Downlink With Imperfect CSI
2. A Tutorial on MM Algorithms
3. Quadriga: A 3-d multicell channel model with time evolution for enabling virtual field trials;stephan;IEEE Trans Inf Theory,2014
4. Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design
5. Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility
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1. Sum Rate Analysis for 5G Massive MIMO Communication System based on Deep Neural Network;2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE);2023-08-02
2. Distributed Precoding for Network Massive MIMO Systems Without Data Sharing;IEEE Systems Journal;2023
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