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Improving Connectivity in6G Maritime Communication Networks with UAV Swarms
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  • Nikolaos Nomikos ,
  • Anastasios Giannopoulos ,
  • Alexandros Kalafatelis ,
  • Volkan Ozduran ,
  • Panagiotis Trakadas ,
  • George K. Karagiannidis
Nikolaos Nomikos
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Anastasios Giannopoulos
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Alexandros Kalafatelis
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Volkan Ozduran
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Panagiotis Trakadas
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George K. Karagiannidis
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In this study, we focus on an MCN where the direct links towards a shore BS are not available, due to excessive fading conditions. For this case, we use a UAV swarm to provide improved wireless connectivity, adopting non-orthogonal multiple access (NOMA) for high resource efficiency. In downlink communication, UAVs take into consideration the desired service rate and the channel quality of their links towards the maritime nodes. In the uplink, UAVs employ dynamic decoding ordering to enhance the performance of successive interference cancellation, avoiding fixed ordering of the maritime nodesâ\euro™ signals. Moreover, to ensure highly flexible UAV selection, UAVs have buffers to store data. Performance comparisons show that the UAV swarm-aided MCN enjoys increased average sum-rate by relying on multi-criteria-based interference cancellation and buffer-aided UAVs, over other benchmark schemes in the downlink and uplink.