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Wireless Networks
Erschienen in: Wireless Networks 7/2022

01.07.2022 | Original Paper

B-GWO based multi-UAV deployment and power allocation in NOMA assisted wireless networks

verfasst von: Aishwarya Gupta, Aditya Trivedi, Binod Prasad

Erschienen in: Wireless Networks | Ausgabe 7/2022

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Abstract

Unmanned Aerial Vehicles (UAVs) deployed as flying base stations is a promising technology for enhancing the quality of service (QoS) and quick recovery from unexpected damages that may occur to the terrestrial networks. Considering UAVs as aerial base stations for downlink communication, we focus on the joint optimization of the UAVs deployment and power allocation of users with the aim of maximizing the sum-rate of the network, subject to the QoS requirement of users. Initially, the ground users are divided into clusters by K-means clustering, where each cluster is served by a single UAV. Then, the clusters are divided into multiple sub-clusters, each having a pair of near and far users. Orthogonal Multiple Access (OMA) is applied among sub-clusters, and NOMA is applied to intra sub-cluster users. Lastly, we solve the non-convex optimization problem using the proposed Balanced-Grey Wolf Optimization (B-GWO) algorithm. Numerical results prove that the performance obtained by B-GWO-NOMA is significantly better than GWO-NOMA, PSO-NOMA, B-GWO-OMA, GWO-OMA, and PSO-OMA methods. Moreover, the accuracy of the proposed B-GWO-NOMA is verified by comparing it with the exhaustive search.
Vorheriger Artikel Distributed multi-tenant RAN slicing in 5G networks
Nächster Artikel Channel coding for cooperative wideband spectrum sensing under imperfect reporting channels

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Fußnoten
1
The application of B-GWO in other fields of UAV-enabled wireless networks will be explored in future work.
 
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Metadaten
Titel
B-GWO based multi-UAV deployment and power allocation in NOMA assisted wireless networks
verfasst von
Aishwarya Gupta
Aditya Trivedi
Binod Prasad
Publikationsdatum
01.07.2022
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 7/2022
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-022-03045-2

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