Sum-Rate Maximization of Multirate NOMA-Based WSNs

This work considers optimal node pairing and channel allocation in downlink (DL) wireless sensor networks (WSNs) with multirate (MR)-nonorthogonal multiple access (NOMA). The objective is to maximize the network sum-rate and improve the IoT devices (IoDs) connectivity while satisfying the quality-of...

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Vydáno v:IEEE sensors journal Ročník 25; číslo 21; s. 40806 - 40819
Hlavní autoři: Khader, Zainab, Al-Dweik, Arafat, Alsusa, Emad, Abou-Khousa, Mohamed
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Binary phase shift keying
Bit error rate
Complexity
Connectivity
Integer programming
Internet of Things
Internet of Things (IoT)
Linear programming
Mixed integer
multirate (MR)-NOMA
NOMA
Nonorthogonal multiple access
nonorthogonal multiple access (NOMA)
Optimization
pairing
Quality of service
Resource management
sixth generation (6G)
Spectral efficiency
sum-rate
Symbols
Ultra reliable low latency communication
wireless sensor network (WSN)
Wireless sensor networks
ISSN:1530-437X, 1558-1748
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Abstract This work considers optimal node pairing and channel allocation in downlink (DL) wireless sensor networks (WSNs) with multirate (MR)-nonorthogonal multiple access (NOMA). The objective is to maximize the network sum-rate and improve the IoT devices (IoDs) connectivity while satisfying the quality-of-service (QoS), bit error rate (BER) requirements. The IoD channel allocation and pairing processes are formulated as a mixed integer linear programming problem where the BER expressions are derived in closed form for the two-IoD scenario over a Nakagami-m fading channel. To solve the optimization problem, an efficient band elimination algorithm (BEA) is proposed to reduce the complexity of the branch and bound (BB) algorithm. The obtained results show that pairing IoDs with different transmission rates can improve the network sum-rate and connectivity by 26% and 39%, respectively, compared to single-symbol rate (SR)-NOMA. Moreover, in another scenario, MR-NOMA demonstrated its efficacy by achieving connectivity for all IoDs, distinctly outperforming conventional SR-NOMA, which managed to connect only 66% of the IoDs, even at high signal-to-noise ratios (SNRs). The proposed BEA technique is shown to significantly reduce the BB complexity, particularly at low SNRs where complexity reduction exceeds 90%.
AbstractList This work considers optimal node pairing and channel allocation in downlink (DL) wireless sensor networks (WSNs) with multirate (MR)-nonorthogonal multiple access (NOMA). The objective is to maximize the network sum-rate and improve the IoT devices (IoDs) connectivity while satisfying the quality-of-service (QoS), bit error rate (BER) requirements. The IoD channel allocation and pairing processes are formulated as a mixed integer linear programming problem where the BER expressions are derived in closed form for the two-IoD scenario over a Nakagami-m fading channel. To solve the optimization problem, an efficient band elimination algorithm (BEA) is proposed to reduce the complexity of the branch and bound (BB) algorithm. The obtained results show that pairing IoDs with different transmission rates can improve the network sum-rate and connectivity by 26% and 39%, respectively, compared to single-symbol rate (SR)-NOMA. Moreover, in another scenario, MR-NOMA demonstrated its efficacy by achieving connectivity for all IoDs, distinctly outperforming conventional SR-NOMA, which managed to connect only 66% of the IoDs, even at high signal-to-noise ratios (SNRs). The proposed BEA technique is shown to significantly reduce the BB complexity, particularly at low SNRs where complexity reduction exceeds 90%.
Author Al-Dweik, Arafat
Abou-Khousa, Mohamed
Khader, Zainab
Alsusa, Emad
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SubjectTerms Algorithms
Binary phase shift keying
Bit error rate
Complexity
Connectivity
Integer programming
Internet of Things
Internet of Things (IoT)
Linear programming
Mixed integer
multirate (MR)-NOMA
NOMA
Nonorthogonal multiple access
nonorthogonal multiple access (NOMA)
Optimization
pairing
Quality of service
Resource management
sixth generation (6G)
Spectral efficiency
sum-rate
Symbols
Ultra reliable low latency communication
wireless sensor network (WSN)
Wireless sensor networks
Title Sum-Rate Maximization of Multirate NOMA-Based WSNs
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