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arXiv 2103.04051cs.ITeess.SPmath.IT

Spatial Modulation: an Attractive Secure Solution to Future Wireless Network

Feng Shu, Lin Liu, LiLi Yang, Xinyi Jiang, Guiyang Xia, Yuanyuan Wu, Xianpeng Wang, Shi Jin, Jiangzhou Wang, Xiaohu You

英文摘要:

As a green and secure wireless transmission method, secure spatial modulation (SM) is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit antenna and amplitude phase modulation signal to carry messages, improve security, and save energy. In this paper, we review its crucial challenges: transmit antenna selection (TAS), artificial noise (AN) projection, power allocation (PA) and joint detection at the desired receiver. As the size of signal constellation tends to medium-scale or large-scale, the complexity of traditional maximum likelihood detector becomes prohibitive. To reduce this complexity, a low-complexity maximum likelihood (ML) detector is proposed. To further enhance the secrecy rate (SR) performance, a deep-neural-network (DNN) PA strategy is proposed. Simulation results show that the proposed low-complexity ML detector, with a lower-complexity, has the same bit error rate performance as the joint ML method while the proposed DNN method strikes a good balance between complexity and SR performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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