Paper Info
Title
Beamforming design of sum secrecy rate optimization for MU-MISO channel under sum power constraint
Abstract
This paper studies the beamforming design problem of a multi-user downlink network, assuming perfect channel state information (CSI) known to the base station (BS). In this scenario, the BS is equipped with multiple antennas, and each user is wiretapped by a specific eavesdropper where each user or eavesdropper is equipped with one antenna. It is supposed that the BS employs transmit beamforming with a given requirement on sum transmitting power. The object is to maximize the sum secrecy rate (SSR) of the network, which leads to a nonconvex complicated structure, and makes he considered beamforming design problem difficult to handle. To solve this problem, a beamforming design scheme is proposed to transform the original problem into a convex approximation problem, by employing semidefinite relaxation (SDR) and first-order approximation technique based on Taylor expansion. Besides, with the advantage of low complexity, a zero-forcing (ZF) based beamforming method is presented in the case that BS is able to nullify he eavesdroppers' rate. Numerical results show that the former strategy achieves better performance than the later one, which is mainly due to the ability of optimizing beamforming direction, and both outperform the traditional signal-to-leakage-and-noise ratio (SLNR) based algorithm.
Year
DOI
Venue
2014
10.1109/WCSP.2014.6992154
WCSP
Keywords
Field
DocType
base station,optimisation,taylor expansion,sum power constraint,approximation theory,sum secrecy rate optimization,semidefinite relaxation,signal-to-leakage-and-noise ratio based algorithm,mu-miso channel,array signal processing,wireless channels,eavesdropper rate,sum transmitting power,telecommunication security,nonconvex complicated structure,first-order approximation technique,convex approximation problem,perfect channel state information,transmit beamforming,multiuser downlink network,zero-forcing based beamforming method
Beamforming,Mathematical optimization,Computer science,Secrecy,Communication channel
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
Pu Zhao13211.73
Meng Zhang2415.75
Hui Yu320018.98
Hanwen Luo448541.10
Wen Chen51242106.63