Energy Efficiency Maximization in NOMA Enabled Backscatter Communications With QoS Guarantee

IEEE Wireless Communications Letters, vol. 10, pp. 353–357

Abstract

Energy efficiency (EE) is an important performance metric in communication systems. However, to the best of our knowledge, the energy-efficient resource allocation (RA) problem in non-orthogonal multiple access enabled backscatter communication networks (NOMA-BackComNet) comprehensively considering the user's quality of service (QoS) has not been investigated. In this letter, we present the first attempt to solve the EE-based RA problem for NOMA-BackComNet with QoS guarantee. The objective is to maximize the EE of users subject to the QoS requirements of users, the decoding order of successive interference cancellation and the reflection coefficient (RC) constraint, where the transmit power of the base station and the RC of the backscatter device are jointly optimized. To solve this non-convex problem, we develop a novel iteration algorithm by using Dinkelbach's method and the quadratic transformation approach. Simulation results verify the effectiveness of the proposed scheme in improving the EE by comparing it with the other schemes.

Authors 6

1. Yongjun Xu

   Chongqing University of Posts and Telecommunications · Xi’an University of Posts and Telecommunications

   Affiliation as printed

   CQUPT-BUL Innovation Institute, Chongqing University of Posts and Telecommunications, Chongqing, China

   School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

   Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an, China

   Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, Xi'an, China

2. Zhijin Qin

   Queen Mary University of London

   Affiliation as printed

   School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K

3. Guan Gui

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

4. Haris Gacanin Aachen Faculty of Electrical Engineering and Information Technology

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany

5. Hikmet Sari

   Nanjing University of Posts and Telecommunications

   Affiliation as printed

   College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

6. Fumiyuki Adachi

   Tohoku University

   Affiliation as printed

   Research Organization of Electrical Communication, Tohoku University, Sendai, Japan