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<p>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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年7月6日

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  • Kayode Popoola,
  • David Grace,
  • Tim Clarke,
  • Muheeb Ahmed,
  • Stuart Nicholson

摘要

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.