Slepian Transform Based Detectors for HF Skywave Massive MIMO-OFDM Systems
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
2. Department of Electronic and Computer Engineering, Brunel University London, London, U.K.
Funder
National Key R&D Program of China
Jiangsu Province Basic Research Project
Key R&D Plan of Jiangsu Province
Huawei Cooperation Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10287112/10122719.pdf?arnumber=10122719
Reference45 articles.
1. Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems
2. Wideband Channel Estimation for Millimeter Wave Beamspace MIMO
3. Computationally Efficient Data Detection in Massive MIMO Wireless Systems via Semi-Iterative Method
4. Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
5. Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs
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. Robust Precoding for HF Skywave Massive MIMO With Slepian Transform;IEEE Transactions on Communications;2024-06
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