Sparse Bayesian Learning Assisted Decision Fusion in Millimeter Wave Massive MIMO Sensor Networks
Author:
Affiliation:
1. Norwegian University of Science and Technology,Department of Electronic Systems,Trondheim,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095996.pdf?arnumber=10095996
Reference17 articles.
1. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications
2. Robust Cooperative Spectrum Sensing for MIMO Cognitive Radio Networks Under CSI Uncertainty
3. Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches
4. Centralized and Distributed Millimeter Wave Massive MIMO-Based Data Fusion With Perfect and Bayesian Learning (BL)-Based Imperfect CSI
Cited by 2 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. Bayesian Channel Estimation Under Dual Wideband Effects for THz Massive MIMO Communications;Wireless Personal Communications;2024-02-27
2. Decision Fusion in Centralized and Distributed Multiuser Millimeter-Wave Massive MIMO-OFDM Sensor Networks;IEEE Open Journal of the Communications Society;2024
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