Title
Joint Antenna Selection and Power Allocation for an Energy-efficient Massive MIMO System
Abstract
A joint antenna selection and power allocation scheme is proposed for a downlink massive multiple-input multiple-output system under perfect channel state information. Based on a tractable lower bound of the achievable downlink rate with linear zero-forcing precoding, a nonconvex energy efficiency optimization problem is formulated with nonlinear constraints. Since the optimization variables are highly interrelated, it is impractical to directly derive the closed-form solution to the original problem. To solve this problem, an effective iterative algorithm that maximizes energy efficiency is proposed according to the Lagrangian dual method, where the optimal number of transmit antennas and power allocation are solved iteratively until convergence. Numerical results demonstrate the effectiveness of the proposed algorithm.
Year
DOI
Venue
2019
10.1109/LWC.2018.2869152
IEEE Wireless Communications Letters
Keywords
Field
DocType
Transmitting antennas,Resource management,Downlink,MIMO communication,Optimization,Fading channels
Mathematical optimization,Efficient energy use,Upper and lower bounds,Iterative method,MIMO,Optimization problem,Precoding,Mathematics,Channel state information,Telecommunications link
Journal
Volume
Issue
ISSN
8
1
2162-2337
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Hao Li122.05
Julian Cheng21409145.12
Zhigang Wang313213.23
Houjun Wang419823.29