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Optimal beamforming-selection spatial precoding using population-based stochastic optimization for massive wireless MIMO communication systems

  • Published:2017-07 Issue:10 Volume:354 Page:4247-4272
  • ISSN:0016-0032
  • Container-title:Journal of the Franklin Institute
  • language:en
  • Short-container-title:Journal of the Franklin Institute

Author:

Lee Ju-Hong,Lee Jing-YenORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference29 articles.

1. Joint precoding and beamforming design for the downlink in a multiuser MIMO system;Doostnejad,2005

2. Shifting the MIMO paradigm;Gesbert;IEEE Signal Process. Mag.,2007

3. Beamforming-based spatial precoding in FDD massive MIMO systems;Tang,2014

4. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels;Spencer;IEEE Trans. Signal Process.,2004

5. Downlink transmit beamforming in multiuser MIMO systems;Peel,2004

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1. Beamforming-based Spatial Precoding with Channel Estimation for Massive MIMO-OFDM system;2024 IEEE Radio and Wireless Symposium (RWS);2024-01-21

2. Chicken Swarm Optimization Based Optimal Channel Allocation in Massive MIMO;Wireless Personal Communications;2023-03-20

3. Transmit Antenna Optimization, Power and Energy Efficient Algorithm in Massive MIMO Technology;2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2021-12-17

4. Array misalignment angle value estimation for OAM-based communication system;Journal of the Franklin Institute;2021-12

5. Real Time Convex Optimisation for 5G Networks and Beyond;IET TELECOMMUN SER;2021-11-15
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