Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

Ali Arshad Nasir, Duy Trong Ngo, Hoang Duong Tuan, Salman Durrani
2015 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)  
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 signalto-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
more » ... cate 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. Index Terms-Nonsmooth optimization, semidefinite programming, simultaneous wireless information and power transfer, transmit beamforming.
doi:10.1109/globalsip.2015.7418427 dblp:conf/globalsip/NasirNTD15 fatcat:efgh5npnbzfibd44cql7aij2uy