DocumentCode :
3735828
Title :
Beam Selection Methods for Massive MIMO Systems with Hybrid Radio Frequency and Baseband Precoding
Author :
Lei Song;Xin Wang
Author_Institution :
Fujitsu R&
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
With massive MIMO and/or millimeter wave technologies, the system has large numbers of antennas and/or frequency bands to increase the capacity and the number of the accessed users. In this case, conventional precoding method performed at the baseband becomes impractical, since the processing complexity is large and the cost of the hardware is high. Therefore, hybrid radio frequency (RF) and baseband (BB) precoding is an alternative to achieve the tradeoff between complexity and performance. In this paper, beam selection methods based on the thought of spatial correlation, variable beamwidth and beam combination are proposed for RF beamforming used in single-user and multiple- user scenarios, respectively. Simulation results show that the proposed beam selection methods perform well with much lower complexity than brute- force search.
Keywords :
"Radio frequency","Baseband","Complexity theory","MIMO","Arrays","Discrete Fourier transforms"
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd
Type :
conf
DOI :
10.1109/VTCFall.2015.7390854
Filename :
7390854
Link To Document :
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