Sensing Assisted Integrated Communication and Jamming Systems With RSMA for Dynamic Suspicious Communications
Jiangchun Gu, Guoru Ding, Haichao Wang, Yitao Xu
Abstract
In practice, non-cooperative suspicious communications may be dynamic, that is, randomly in transmission or silence state, as a result, the traditional jamming mode may be inefficient or even ineffective. In this article, we design a sensing assisted integrated communication and jamming (SA-ICAJ) system, where the legitimate transceiver aims to communicate with multiple legitimate users while interfering with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dynamic suspicious communications</i> based on the results of spectrum sensing. Moreover, the rate splitting multiple access and artificial noise are both imbedded to alleviate the multi-user interference of legitimate communications and enhance jamming for suspicious communications, respectively. Further, we obtain a closed-form expression of optimal sensing time and propose a successive convex approximation based joint beamforming and rate optimization algorithm to maximize the sum average throughput of legitimate users while ensuring a certain jamming demand. Simulation results verify that the proposed scheme improves system performance compared with the baseline schemes.