TY - GEN
T1 - Power Optimization of Intelligent Reflecting Surface assisted NOMA for Wireless Communication Networks
AU - Amin, Mehboob Ul
AU - Singh, G.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Non-orthogonal multiple access
KW - ergodic capacity
KW - intelligent reflecting surfaces
KW - outage probability
UR - http://www.scopus.com/inward/record.url?scp=85148044614&partnerID=8YFLogxK
U2 - 10.1109/IMPACT55510.2022.10028994
DO - 10.1109/IMPACT55510.2022.10028994
M3 - Conference contribution
AN - SCOPUS:85148044614
T3 - 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022
BT - 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022
Y2 - 26 November 2022 through 27 November 2022
ER -