IIUM Repository

BER improvement of cooperative spectrum sharing of NOMA in 5G network

Hassan, Mohamed and Saeed, Rashid A. and Mokhtar, Rania A. and Hamid, Khalid and Ali, Elmustafa Sayed and Odeh, Nidhal and Singh, Manwinder and Khalifa, Othman Omran and Islam, Shayla (2023) BER improvement of cooperative spectrum sharing of NOMA in 5G network. In: 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 21 - 23 May 2023, Benghazi, Libya.

[img] PDF
Restricted to Repository staff only

Download (2MB)
[img] PDF - Published Version
Restricted to Registered users only

Download (300kB)

Abstract

Non-orthogonal multiple access is one of the best methods for addressing the needs of 5G wireless services (NOMA). The proliferation of mobile devices in recent years has increased the importance of cooperative spectrum sharing and utilization in wireless communication due to increases in the bit error rate (BER) brought on by collisions and interference. In this study, MIMO and Massive MIMO (M-MIMO) in the downlink (DL) NOMA power domain (PD) in conjunction with the Cooperative Cognitive Radio Network are proposed as two new ways for improving and evaluating BER in the 5G network (CCRN). Customers of NOMA compete for available channels on the CCRN in this first strategy. The second approach creates a dedicated channel for NOMA users. Three scenarios with varying distances, power location coefficients, and transmission power are used to evaluate the proposed methods in the MATLAB software program. It is assumed that four users will share a 90 MHz BW using QPSK modulation in all three scenarios. When evaluating the performance of the suggested system under the presumption of frequency-selective Rayleigh fading, concurrent interference cancellation (SIC) and unstable channel conditions are also considered.

Item Type: Proceeding Paper (Plenary Papers)
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr Othman O. Khalifa
Date Deposited: 27 Jul 2023 11:47
Last Modified: 02 Feb 2024 17:49
URI: http://irep.iium.edu.my/id/eprint/105779

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year