Backscatter Communications; Non-orthogonal Multiple Access; Energy efficiency
Abstract :
[en] In this manuscript, we propose an alternating optimization framework to maximize the energy efficiency of a backscatter-enabled cooperative Non-orthogonal multiple access (NOMA) system by optimizing the transmit power of the source, power allocation coefficients (PAC), and power of the relay node under imperfect successive interference cancellation (SIC) decoding. A three-stage low-complexity energy-efficient alternating optimization algorithm is introduced which optimizes the transmit power, PAC, and relay power by considering the quality of service (QoS), power budget, and cooperation constraints. Subsequently, a joint channel coding framework is introduced to enhance the performance of far user which has no direct communication link with the base station (BS) and has bad channel conditions. In the destination node, the far user data is jointly decoded using a Sum-product algorithm (SPA) based joint iterative decoder realized by jointly-designed Quasi-cyclic Low-density parity-check (QC-LDPC) codes. Simulation results evince that the proposed backscatter-enabled cooperative NOMA system outperforms its counterpart by providing an efficient performance in terms of energy efficiency. Also, proposed jointly-designed QC-LDPC codes provide an excellent bit-error-rate (BER) performance by jointly decoding the far user data for considered BSC cooperative NOMA system with only a few decoding iterations.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Asif, Muhammad
Ihsan, Asim
Khan, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ranjha, Ali
Zhang, Shengli
Xiaoxiao, Sissi
External co-authors :
yes
Language :
English
Title :
Energy-Efficient Backscatter-Assisted Coded Cooperative-NOMA for B5G Wireless Communications
Alternative titles :
[en] Energy-Efficient Backscatter-Assisted Coded Cooperative-NOMA for B5G Wireless Communications
Publication date :
20 October 2022
Journal title :
IEEE Transactions on Green Communications and Networking
ISSN :
2473-2400
Publisher :
Institute of Electrical and Electronics Engineers (IEEE)
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