Management, Control And Optimization Design Of Artificial Jamming For MIMO Wireless Networks

In wireless communication networks,the interference between users will affect the communication quality and degrade the network performance seriously.Interference alignment(IA)is an emerging technology which can control the interference effectively.It can significantly improve the transmission rate and the network performance.On the other hand,the physical layer security in wireless networks is very important,and the existence of artificial jamming will threaten the information transmission process seriously.At present,many scholars have proposed various methods to combat jamming signals,while there is no systematic research for MIMO wireless networks with the existence of jamming signals.In addition,the transmission power of jamming will be designed very large to destroy the legitimate networks effectively.Therefore,it is a huge waste of power to just eliminate the jamming signal.Energy harvesting can be performed on the basis of reasonable jamming control,to provide valuable energy support for wireless nodes.Thus,this paper aims to control the artificial jamming effectively,which exists in the wireless multi-user MIMO networks,and perform energy harvesting for simultaneous wireless information and power transfer(SWIPT).Specifically speaking,the work includes:(1)External jamming control based on interference alignment: First,two anti-jamming algorithms are proposed to eliminate both interference and jamming,i.e.anti-jamming scheme based on minimize interference leakage and anti-jamming scheme based on maximize signal-to-interference-noise ratio.Then,the proper conditions of the two proposed schemes are derived.Particularly,the proper condition is equivalent to the feasibility condition when only one data stream is transmitted by each user.(2)Energy harvesting of artificial jamming for SWIPT: To disturb the legitimate transmission effectively,the power of jamming is usually extremely high.It is a huge waste of power to just eliminate the jamming signal.Thus,SWIPT can be performed based on the anti-jamming schemes.Specifically,the power partition coefficient and transmit power are jointly optimized to minimize the total transmit power of the IA network.To further reduce the computational complexity,a suboptimal algorithm is designed together.(3)Adversarial or beneficial jamming design towards IA networks: First,the illegal IA can be degraded by the jamming signal without noticing,by aligning the jamming signal into the same subspace as the desired signal at each IA receiver.Then,utilize the jamming signal as spurious data for legitimate IA to disrupt the eavesdropping.To further ensure the IA transmission not affected by the jamming signal,the jamming is constrained into the same subspace as that of the interference at each IA receiver.