Optimal Beamforming For MIMO Wiretap Channel

The wireless communication system provides the user with a high data transfer rate and a goodquality of service. MIMO wireless communication technology is an important technologicalbreakthrough in the field, it can exponentially increase communication system capacity andspectrum efficiency without increasing the bandwidth and power. Due to the broadcast nature ofwireless communication, it’s more convenient for the communication process, but the transmittedsignal is vulnerable to eavesdropper. Therefore, today’s research focuses on the security propertiesof physical layer.Using beam forming technology based on the singular value decomposition, this paperresearches the safety performance of MIMO Gaussian wiretap channel. Broadcast artificialinterference power is maximized to hide the desired signal not to be acquired by eavesdropper, andensure the receiving node to reach the pre-established SINR. Considering the unknowneavesdroppers channel state information and the case of known channel state information, it usessignal to interference noise ratio (SINR) as the performance index. The experimental results showthe effectiveness of adding artificial interference and using beam forming algorithm.Based on the MIMO Gaussian wiretap channel model, this paper introduces the maliciousinterference concept. Based on the generalized singular value decomposition, it proposes beamforming techniques and takes the best power allocation method to optimize the safety performanceof the MIMO Gaussian wiretap channel. The eavesdropper not only listens to the sending signalsbut also tries to send malicious interference to lower the ability of the expected recipient to receivethe signal. Experimental results show that the malicious interference impact the performance of thechannel and the optimal power allocation scheme.