Title
Iterative Optimization For Max-Min Sinr In Dense Small-Cell Multiuser Miso Swipt System
Abstract
Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.
Year
Venue
Keywords
2015
2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP)
Nonsmooth optimization, semidefinite programming, simultaneous wireless information and power transfer, transmit beamforming
Field
DocType
Citations 
Base station,Mathematical optimization,Wireless,Transmitter power output,Signal-to-noise ratio,Minification,Interference (wave propagation),Maximum power transfer theorem,Semidefinite programming,Mathematics
Conference
3
PageRank 
References 
Authors
0.38
10
4
Name
Order
Citations
PageRank
Ali A. Nasir1109456.86
D. T. Ngo252337.44
Hoang D. Tuan31936191.03
Salman Durrani4121771.37