TY - JOUR
T1 - Energy Efficiency Maximization in NOMA Enabled Backscatter Communications with QoS Guarantee
AU - Xu, Yongjun
AU - Qin, Zhijin
AU - Gui, Guan
AU - Gacanin, Haris
AU - Sari, Hikmet
AU - Adachi, Fumiyuki
N1 - Funding Information:
Manuscript received September 23, 2020; accepted October 10, 2020. Date of publication October 14, 2020; date of current version February 9, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61601071; in part by the Natural Science Foundation of Chongqing under Grant cstc2019jcyj-xfkxX0002; in part by the Open Funding of Shaanxi Key Laboratory of Information Communication Network and Security under Grant ICNS201904; in part by the Major Project of the Ministry of Industry and Information Technology of China under Grant TC190A3WZ-2; in part by the Six Top Talents Program of Jiangsu under Grant XYDXX-010; and in part by the 1311 Talent Plan of Nanjing University of Posts and Telecommunications. The associate editor coordinating the review of this article and approving it for publication was E. Alsusa. (Corresponding author: Guan Gui.) Yongjun Xu is with the School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China, also with the CQUPT-BUL Innovation Institute, Chongqing University of Posts and Telecommunications, Chongqing 400065, China, and also with the Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China (e-mail: xuyj@cqupt.edu.cn).
Publisher Copyright:
© 2012 IEEE.
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - Backscatter communications
KW - energy efficiency
KW - non-orthogonal multiple access
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U2 - 10.1109/LWC.2020.3031042
DO - 10.1109/LWC.2020.3031042
M3 - Article
AN - SCOPUS:85101433204
SN - 2162-2337
VL - 10
SP - 353
EP - 357
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 2
M1 - 9223730
ER -