ITCRSPJan 15, 2018

Two High-performance Schemes of Transmit Antenna Selection for Secure Spatial Modulation

arXiv:1801.04775v164 citations
Originality Incremental advance
AI Analysis

This work addresses secure communication in wireless systems, offering incremental improvements in antenna selection methods for specific applications.

The paper tackles the problem of improving secrecy rate in secure spatial modulation systems by proposing two transmit antenna selection schemes, Max-SR and leakage-based, which outperform existing methods in simulation, with Max-SR achieving the highest secrecy rate but at high complexity, while leakage-based offers a good trade-off.

In this paper, a secure spatial modulation (SM) system with artificial noise (AN)-aided is investigated. To achieve higher secrecy rate (SR) in such a system, two high-performance schemes of transmit antenna selection (TAS), leakage-based and maximum secrecy rate (Max-SR), are proposed and a generalized Euclidean distance-optimized antenna selection (EDAS) method is designed. From simulation results and analysis, the four TAS schemes have an decreasing order: Max-SR, leakage-based, generalized EDAS, and random (conventional), in terms of SR performance. However, the proposed Max-SR method requires the exhaustive search to achieve the optimal SR performance, thus its complexity is extremely high as the number of antennas tends to medium and large scale. The proposed leakage-based method approaches the Max-SR method with much lower complexity. Thus, it achieves a good balance between complexity and SR performance. In terms of bit error rate (BER), their performances are in an increasing order: random, leakage-based, Max-SR, and generalized EDAS.

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