'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
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 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 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.ARC Discovery Projects Grant DP14010113