Multi-objective resource allocation in full-duplex SWIPT systems

Abstract

In this paper, we investigate the resource allocation algorithm design for\nfull-duplex simultaneous wireless information and power transfer (FD-SWIPT)\nsystems. The considered system comprises a FD radio base station, multiple\nsingle-antenna half-duplex (HD) users, and multiple energy harvesters equipped\nwith multiple antennas. We propose a multi-objective optimization framework to\nstudy the trade-off between uplink transmit power minimization, downlink\ntransmit power minimization, and total harvested energy maximization. The\nconsidered optimization framework takes into account heterogeneous quality of\nservice requirements for uplink and downlink communication and wireless power\ntransfer. The non-convex multi-objective optimization problem is transformed\ninto an equivalent rank-constrained semidefinite program (SDP) and solved\noptimally by SDP relaxation. The solution of the proposed framework results in\na set of Pareto optimal resource allocation policies. Numerical results unveil\nan interesting trade-off between the considered conflicting system design\nobjectives and reveal the improved power efficiency facilitated by FD in SWIPT\nsystems compared to traditional HD systems.\n