Joint User Pairing and Power Allocation with Compressive Sensing in NOMA Systems

Ahmed Nasser, Osamu Muta, Haris Gacanin, Maha Elsabrouty

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


In this letter, we propose a novel low-complexity user pairing (UP) and power allocation (PA) technique utilizing the compressive sensing (CS) theory for non-orthogonal multiple access (NOMA) systems. In the proposed scheme, we formulate the joint UP and PA optimization problem in NOMA systems as a relaxed sparse l_{1} -norm problem, based on the fact that a limited, i.e., 'sparse,' number of users has to be paired among a large number of users over a dedicated resource block (RB). By exploiting this inherent sparsity property, we can obtain a near-optimal solution by relaxing the original NP-hard problem of joint UP and PA. Then, a CS technique is proposed to find a solution for the relaxed problem. Simulation results validate the effectiveness of our proposed idea regarding the sum-rate and the reduced complexity compared to the state-of-the-art schemes.

Original languageEnglish
Article number9194721
Pages (from-to)151-155
Number of pages5
JournalIEEE Wireless Communications Letters
Issue number1
Publication statusPublished - Jan 2021

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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