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

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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.

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All data generated or analyzed during this study are included within the article.

Notes

  1. The application of B-GWO in other fields of UAV-enabled wireless networks will be explored in future work.

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Authors and Affiliations

  1. ABV-IIITM, Gwalior, India

    Aishwarya Gupta, Aditya Trivedi & Binod Prasad

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  1. Aishwarya Gupta
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  2. Aditya Trivedi
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  3. Binod Prasad
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Correspondence to Aishwarya Gupta.

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Gupta, A., Trivedi, A. & Prasad, B. B-GWO based multi-UAV deployment and power allocation in NOMA assisted wireless networks. Wireless Netw 28, 3199–3211 (2022). https://doi.org/10.1007/s11276-022-03045-2

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