Title
Millimeter-Wave Massive MIMO Systems Relying on Generalized Sub-Array-Connected Hybrid Precoding
Abstract
In this paper, we consider a generalized sub-array-connected (GSAC) architecture for arbitrary radio frequency (RF) chain and antenna configurations, where the number of RF chains connected to a sub-array and the number of antennas in each sub-array can be arbitrary. Our design objective is to improve the energy efficiency of the hybrid precoder of millimeter-wave massive multiple input multiple output systems. We first propose a successive interference cancellation based hybrid precoding algorithm to maximize the achievable rate for any given RF chain and antenna configuration. This algorithm first decomposes the total achievable rate optimization problem into multiple sub-rate optimization problems, then it successively maximizes these sub-rates. Since the number of RF chains is limited, we can afford using an exhaustive search scheme to evaluate all configurations and identify the one having the best energy efficiency. Moreover, to rely on an attractive limited feedback, we also propose a beamsteering codebook for our hybrid precoding aided GSAC architecture. Our simulation results demonstrate that the proposed scheme achieves a similar rate as the corresponding optimal unconstrained precoder. Furthermore, we show that the energy efficiency of the proposed scheme is better than that of the existing schemes in the fully connected and sub-array-connected architectures.
Year
DOI
Venue
2019
10.1109/TVT.2019.2930639
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Radio frequency,Antennas,MIMO communication,Computer architecture,Millimeter wave technology,Precoding,Optimization
Brute-force search,Efficient energy use,Computer science,Single antenna interference cancellation,Radio frequency,Electronic engineering,Optimization problem,Precoding,Design objective,Codebook
Journal
Volume
Issue
ISSN
68
9
0018-9545
Citations 
PageRank 
References 
2
0.37
0
Authors
4
Name
Order
Citations
PageRank
Yun Chen1123.21
Da Chen29313.07
Tao Jiang32543230.12
Lajos Hanzo410889849.85