Paper Info
Title
Joint Beamforming and Antenna Selection for Sum Rate Maximization in Cognitive Radio Networks.
Abstract
This letter studies joint transmit beamforming and antenna selection at a secondary base station (BS) with multiple primary users (PUs) in an underlay cognitive radio multiple-input single-output broadcast channel. The objective is to maximize the sum rate subject to the secondary BS transmit power, minimum required rates for secondary users, and PUs' interference power constraints. The utility function of interest is nonconcave and the involved constraints are nonconvex, so this problem is hard to solve. Nevertheless, we propose a new iterative algorithm that finds local optima at the least. We use an inner approximation method to construct and solve a simple convex quadratic program of moderate dimension at each iteration of the proposed algorithm. Simulation results indicate that the proposed algorithm converges quickly and outperforms existing approaches.
Year
DOI
Venue
2017
10.1109/LCOMM.2017.2679186
IEEE Communications Letters
Keywords
DocType
Volume
Transmitting antennas,Interference,Iterative methods,Optimization,Array signal processing,Lead,Cognitive radio
Journal
abs/1703.00104
Issue
ISSN
Citations 
6
1089-7798
2
PageRank 
References 
Authors
0.37
12
4
Name
Order
Citations
PageRank
Van-Dinh Nguyen117923.75
Chuyen T. Nguyen2196.77
Hieu V. Nguyen325417.89
Oh-Soon Shin462063.13