Secured Green Communication Scheme for Interference Alignment Based Networks

Zhibin Xie, Xinquan Geng, Yunfei Chen, Kening Song, Benjamin Panful, Yajun Wang, Yinjie Su, Zhenkai Zhang, and Ying Hu

10.1109/JCN.2020.000001

Abstract : In this paper, a new security and green communicationscheme is proposed to the interference-alignment (IA) based networks.To achieve a secured communication, full-duplex receiversare utilized to transmit artificial noise (AN). Both the signals andthe ANs are used to harvest energy to realize green communication.For these reasons, the feasible conditions of this scheme areanalyzed first. Secondly, the average transmission rate, the secrecyperformance and the harvested energy are investigated. Thirdly,an optimization scheme of simultaneous wireless information andpower transfer (SWIPT) is given to optimize the information transmissionand the energy harvesting efficiency. Meanwhile, an improvedIA iteration algorithm is designed to eliminate both the ANand the interference. Furthermore, relay cooperation is consideredand its system performance is analyzed. The simulations show thatthe target average transmission rate is not affected by AN, whilethe secrecy performance can be greatly improved. The energy harvestingefficiency is also better than the traditional schemes. Asexpected, the average transmission rate further is improved withthe relay cooperation.​

Index terms : Artificial noise (AN), eavesdropping, interference alignment (IA), relay, secrecy, simultaneous wireless information and power transfer (SWIPT)