An overview of compressive sensing for IRS assisted secure terahertz communication

Abstract

Considerable development of different communication services requires a higher data rate and secure transmission for mobile users. Sometimes it is very difficult to deliver full information without information leakage to the user, there may be some huge obstacles to block the direct connection between transmitter and receiver. Moreover, there may be an eavesdropper is present near to the mobile user who can determine critical information while sending. At the receiver side, accurate channel estimation is necessary to obtain the information perfectly. Intelligent reflecting surfaces (IRSs) are an arising innovation that empowers tunable abnormal dissipating of incident electromagnetic waves. This grants dynamic control of the propagation environment and presents an extra enhancement measurement to wireless communication networks. In this paper an Intelligent reflecting surface (IRS) assisted Terahertz (THz) communication is considered. IRS act as a mediator between transmitter and receiver. For high carrier frequency applications, a terahertz frequency band is used, which promises extensive bandwidth (0.1-10 THz). Compared to other techniques THz permits higher link directionality and offers lower eavesdropping chances. The IRS is a rising strategy for extending signal coverage and can defeat high path loss of THz systems. Here Compressive sensing (CS) technique is using to obtain the channel estimation.