Multi-Objective Power Optimization for Full Duplex System Based on Chebyshev Weighting

In this paper, a power-saving resource allocation algorithm for wireless communication systems using full-duplex (FD) base station (BS) to simultaneously serve multiple singleantenna half-duplex (HD) uplink and downlink users is investigated. Unlike the conventional interference mitigation approaches, we propose to use correlation rotation (CR) linear precoding to influence common channel interference (CCI) of multiple-input multiple-output (MIMO) downlink channel by use data symbols and channel state information (CSI) knowledge of FD radio BS. A multi-objective optimization problem (MOOP) via the modified weighted Chebyshev method was established to study the two conflicting yet desirable system design objectives, namely, the total downlink transmit power minimization and total uplink transmit power minimization, while guaranteeing the quality of service (QoS) required by all users. And the semi-definite programming relaxation method is used to solve the non-convex MOOP. Simulation results show that compared with the conventional algorithm which regards interference as a harmful factor, the proposed algorithm provides significant power savings.