TechRxiv

Improving Connectivity in6G Maritime Communication Networks with UAV Swarms

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posted on 2023-12-07, 03:52 authored by Nikolaos NomikosNikolaos Nomikos, Anastasios GiannopoulosAnastasios Giannopoulos, Alexandros Kalafatelis, Volkan OzduranVolkan Ozduran, Panagiotis Trakadas, George K. Karagiannidis

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 nodes’ 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.

Funding

This work has been partially supported by the HORSE project, funded by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096342 (www.horse-6g.eu).

History

Email Address of Submitting Author

nomikosn@pms.uoa.gr

Submitting Author's Institution

National and Kapodistrian University of Athens

Submitting Author's Country

  • Greece

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