Energy-Efficient Interference Cancellation in Integrated Sensing and Communication Scenarios

Recently, integrated sensing and communication (ISAC) has been a hot topic to alleviate the issue of low spectrum efficiency, pursuit the hardware gain and integration gain as far as possible. However, the coexistence of sensing and communication functions triggers the mutual interference therein, seriously affecting their respective performance. To solve this problem, the communication model and sensing model are built respectively in this paper, considering the interference between communication signals and between sensing signals and communication signals. Then, the ratio of the total transmitting data rate and the total power consumption is regarded as the optimization objection of this paper for energy-efficient interference cancellation. After that, the approximate solution of the optimization objection is obtained by Dinkelbach based scheme and semi-definite relaxation (SDR). Finally, the numerical simulations are conducted and the simulation results state that the proposed scheme can obtain a higher energy efficiency and outperforms the classical scheme.