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

IEEE Wireless Communications Letters, vol. 10, pp. 151–155

Abstract

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 l1-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.

Authors 3

1. Osamu Muta

   Kyushu University

   Affiliation as printed

   Center for Japan-Egypt Cooperation in Science and Technology, Kyushu University, Fukuoka, Japan

2. Haris Gacanin Aachen Faculty of Electrical Engineering and Information Technologies Institute for Communication Technologies and Embedded Systems Chair for Distributed Signal Processing

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technologies, Institute for Communication Technologies and Embedded Systems, Chair for Distributed Signal Processing, RWTH Aachen University, Aachen, Germany

3. Maha Mohamed Elsabrouty

   Egypt-Japan University of Science and Technology

   Affiliation as printed

   Egypt-Japan University of Science and Technology, Alexandria, Egypt