Backscatter Communications; Non-orthogonal Multiple Access; Energy efficiency
Résumé :
[en] The combination of nonorthogonal multiple access (NOMA) using power-domain with backscatter communication (BC) is expected to connect large-scale Internet of things (IoT) devices in the future sixth-generation era. This article introduces a BC in a multicell IoT network, where a source in each cell transmits a superimposed signal to its associated IoT devices using NOMA. The backscatter sensor tag (BST) also transmits data to IoT devices by reflecting and modulating the superimposed signal of the source. A new optimization framework is provided that simultaneously optimizes the total power of each source, power allocation coefficient of IoT devices, and RC of BST under imperfect successive interference cancellation decoding. This work aims to maximize the total energy efficiency (EE) of the IoT network subject to the quality of services of each IoT device. The problem is first transformed using the Dinkelbach method and then decoupled into two subproblems. The Karush–Kuhn–Tucker conditions and dual Lagrangian method are employed to obtain efficient solutions. In addition, we also calculate the EE of the conventional NOMA network without BC as a benchmark framework. Simulation results unveil the advantage of our considered NOMA BC network over the conventional NOMA network in terms of system total EE.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
Ahmed, Manzoor
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ihsan, Asim
Li, Xingwang
Li, Jianbo
A. Tsiftsis, Theodoros
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Backscatter Sensors Communication for 6G Low-Powered NOMA-Enabled IoT Networks Under Imperfect SIC
Titre traduit :
[en] Backscatter Sensors Communication for 6G Low-Powered NOMA-Enabled IoT Networks Under Imperfect SIC
Date de publication/diffusion :
août 2022
Titre du périodique :
IEEE Systems Journal
ISSN :
1932-8184
eISSN :
1937-9234
Maison d'édition :
Institute of Electrical and Electronics Engineers, Etats-Unis - New York
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