Maximising Data Rate in HAP Assisted Cooperative Vehicular Networks with Optimised Relay Selection

Kayode Popoola (), David Grace (), Tim Clarke (), Muheeb Ahmed () and Stuart Nicholson ()
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Kayode Popoola: Dyson Institute of Engineering
David Grace: Engineering and Technology
Tim Clarke: Engineering and Technology
Muheeb Ahmed: Dyson Institute of Engineering
Stuart Nicholson: Dyson Institute of Engineering

Telecommunication Systems: Modelling, Analysis, Design and Management, 2025, vol. 88, issue 3, No 17, 15 pages

Abstract: Abstract In this paper, we address the challenge of improving network performance in High-Altitude Platform-assisted cooperative vehicular networking (HAP-CVN) through optimised relay selection. We propose the Kuhn-Munkres Relay Assignment (KMRA) algorithm, an approach based on a weighted bipartite matching framework. Our primary objective is to maximise sum transmission rates for vehicle user equipment (VUE) experiencing out-of-coverage or cell-edge channel conditions, which in turn significantly minimises their outage probability. By formulating the relay selection as a maximum weighted bipartite matching problem, our approach optimally pairs relays to destinations, outperforming conventional benchmark schemes. The proposed KMRA algorithm delivers significant performance improvements, particularly in terms of reduced outage probability, enhanced transmission success probability, and increased user throughput.

Keywords: Cooperative vehicular networks; Relay selection; Relay assignment; Bipartite matching; KMRA; VUE; Outage probability; Throughput. (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11235-025-01327-6

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