Joint power control and user grouping for uplink power domain non-orthogonal multiple access

Author:

Rehman Bilal Ur1ORCID,Babar Mohammad Inayatullah1,Ahmad Arbab Waheed2,Alhumyani Hesham3,Abdel Azim Gamil4,Saeed Rashid A.3,Abdel Khalek Sayed5

Affiliation:

1. Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan

2. Department of Electrical and Computer Engineering, PAF-IAST, Haripur, Pakistan

3. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

4. Department of Computer Science, Faculty of Computer Science, Suez Canal University, Ismailia, Egypt

5. Mathematics Department, Faculty of Sciences, Taif University,Taif, Saudi Arabia

Abstract

Orthogonal multiple access schemes based on assignment of communication resource blocks among multiple contenders, although widely available, still necessitate an upper limit on the number of concurrent users for minimization of multiple-user interference. The feature thwarts efforts to cater for pressing connectivity demands posed by modern-day cellular communication networks. Non-orthogonal multiple access, regarded as a key advancement towards realization of high-speed 5G wireless communication networks, enables multiple users to access the same set of resource blocks non-orthogonally in terms of power with controllable interference, thereby allowing for overall performance enhancement. Owing to the combinatorial nature of the underlying optimization problem involving user pairing/grouping scheme, power control and decoding order, the computational complexity in determining optimal and sub-optimal solutions remains considerably high. This work proposes three novel alternative approaches (Randomly, 2-Opt and Hybrid) for arriving at a near-optimal solution for the problem of user pairing/grouping. The algorithms not only offer reduced computational complexity but also outperform orthogonal multiple access and existing schemes reported in the literature for uplink non-orthogonal multiple access systems.

Funder

Taif University Researches

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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5. Performance analysis of cooperative NOMA with optimized power allocation using deep learning approach;Wireless Networks;2023-10-10

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