Power Minimization of Full Duplex Communication System Based on Interference Exploit

In this paper, we investigate the power saving resource allocation algorithm design for multiuser full-duplex (FD) multi-input multi-output (MIMO) wireless communication system. Different from the conventional approaches which regards the interference as a harmful factor to mitigate it, we propose to use the channel state information (CSI) of FD radio base station (BS) and the downlink data symbol knowledge to constructively exploit multiuser interference. We formulate a multi-objective optimization problem (MOOP) via modified weighted Tchebycheff method to study the joint minimization of two conflicting system design objectives, i.e., total downlink transmit power minimization and total uplink transmit power minimization, while guaranteeing the quality of service (QoS) of all users. In the proposed MOOP, in order to adapt to the constructive interference (CI) of general phase shift keying (PSK) modulation signals, we adjust the signal to interference plus noise ratio (SINR) constraints for downlink users. The simulation results show that compared with the existing algorithms, the proposed algorithm can achieve more power savings.