In a millimeter wave massive Multiple-Input Multiple-Output(MIMO)system
hybrid precoding has become a hot research topic because it can greatly reduce the use of radio frequency links
and solve the hardware loss caused by full digital precoding.In addition
the performance is close to full digital precoding.This paper proposes to use an adaptive connection network
using Zero-Forcing(ZF)algorithm in both analog and digital domains
which can further reduce the hardware costs.The proposed algorithm is simulated on the Rayleigh fading channel and the sparsely scattered millimeter wave channel.The simulation results show that the proposed algorithm can achieve better performance in the adaptive connection network structure
and has higher spectral efficiency than the same structure adaptive algorithm.It also shows that the performance is closer to full digital precoding.
Partially Coherent Channel Estimation Algorithm based on IR
Beam Selection Algorithm in Millimeter Wave based on GCNet
Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems
Optimization based Millimeter Wave Channel Estimation with Low-resolution Analog-to-digital Converters
Hybrid Linear Iterative Signal Detection Algorithm for Massive MIMO Systems
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Related Institution
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications
. School of Communication and Information Engineering; b. Key Laboratory of New Generation Broadband Mobile Communication Technology, Chongqing University of Posts and Telecommunication
Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications
State Grid Chongqing Electric Power Company
Chongqing Information and Communication Consulting Design Institute Co., Ltd.