Uplink interference management in cellular-Connected UAV networks using multi-armed bandit and NOMA

Fatemeh Banaeizadeh (1) , Michel Barbeau (1) , Joaquin Garcia‐alfaro (2, 3, 4) , Venkata Srinivas Kothapalli (5) , Evangelos Kranakis (1)

1 School of Computer Science [Ottawa]
2 IP Paris - Institut Polytechnique de Paris
3 TSP - RST - Département Réseaux et Services de Télécommunications
4 SCN-SAMOVAR - Sécurité et Confiance Numérique
5 Ericsson Inc [Canada]

Ground users suffer from severe uplink interference originating from high altitude Unmanned Aerial Vehicle (UAV) line-of-sight channels. Using multi-armed bandit, we propose a method aiming to find the best resource block and transmit power level for a UAV dynamically paired with a ground user using Non-Orthogonal Multiple Access (NOMA). It is done according to the UAV's location. It results in mitigating the UAV-uplink interference on its co-channel ground user and maximizing the sum of their data rate in the shared resource block. Performance is evaluated via simulating three explorationexploitation strategies, namely, epsilon-greedy, upper confidence bound and Thompson sampling.

Mots clés: Unmanned Aerial Vehicle Uplink Interference Multi-Armed Bandit Non-Orthogonal Multiple Access; Unmanned Aerial Vehicle; Uplink Interference; Multi-Armed Bandit; Non-Orthogonal Multiple Access

Domaines: Informatique [cs]

Fatemeh Banaeizadeh, Michel Barbeau, Joaquin Garcia‐alfaro, Venkata Srinivas Kothapalli, Evangelos Kranakis. Uplink interference management in cellular-Connected UAV networks using multi-armed bandit and NOMA. 2022 IEEE Latin-American Conference on Communications (LATINCOM), Nov 2022, Rio de Janeiro, Brazil. pp.1-6, ⟨10.1109/LATINCOM56090.2022.10000584⟩. ⟨hal-04006345⟩