Abstract
In this paper, we have proposed an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) communication networks to achieve better quality of service in terms of improved Ergodic capacity and low transmission power. The sum rate of users is maximized by optimizing the transmit vector and IRS reflecting vector, satisfying the IRS reflecting constraint and successive interference cancellation (SIC) decoding condition. Taylor approximation is used to tackle the non-convex optimization problem and is used to convert it into convex one using successive convex approximation. Finally, Convex Optimization tool (CVX) is used to solve this optimization by iterative algorithm, verified on MATLAB software. Simulation result depict that IRS assisted NOMA performs better, when compared with NOMA system.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call