TY - GEN
T1 - Budgeted Thompson Sampling for Trajectory Planning in UAV-Enhanced NOMA Emergency Networks
AU - Hosny, Ramez
AU - Hashima, Sherief
AU - Mohamed, Ehab Mahmoud
AU - Hatano, Kohei
AU - Zaki, Rokaia M.
AU - Elhalawany, Basem M.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Modern Non-Orthogonal Multiple Access (NOMA) and Unmanned Aerial Vehicles (UAVs) wireless technologies are valuable assets in emergency scenarios to enable quick and flexible infrastructure of wireless communication networks. Still, efficient trajectory planning of UAV-NOMA emergency networks is a big challenge where the UAV should assist the maximum number of survivors and optimize its limited battery energy. Hence, in this paper, we formulate this problem as Budgeted Thompson Sampling for UAV Trajectory Planning (BTS-UTP), which is a theoretically guaranteed Budgeted Multi-Armed Bandits (BMAB) derived from the original TS via considering the random cost for drawing an arm and the total cost is constrained by budget (UAV energy). Here the bandit player, arms, cost, and payoff are the UAV, disaster area grids, UAV battery expenditure, and the number of assisted survivors. Numerical results ensure the superior performance of the proposed BTS-UTP technique.
AB - Modern Non-Orthogonal Multiple Access (NOMA) and Unmanned Aerial Vehicles (UAVs) wireless technologies are valuable assets in emergency scenarios to enable quick and flexible infrastructure of wireless communication networks. Still, efficient trajectory planning of UAV-NOMA emergency networks is a big challenge where the UAV should assist the maximum number of survivors and optimize its limited battery energy. Hence, in this paper, we formulate this problem as Budgeted Thompson Sampling for UAV Trajectory Planning (BTS-UTP), which is a theoretically guaranteed Budgeted Multi-Armed Bandits (BMAB) derived from the original TS via considering the random cost for drawing an arm and the total cost is constrained by budget (UAV energy). Here the bandit player, arms, cost, and payoff are the UAV, disaster area grids, UAV battery expenditure, and the number of assisted survivors. Numerical results ensure the superior performance of the proposed BTS-UTP technique.
UR - http://www.scopus.com/inward/record.url?scp=85182402361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182402361&partnerID=8YFLogxK
U2 - 10.1109/IoTaIS60147.2023.10346048
DO - 10.1109/IoTaIS60147.2023.10346048
M3 - Conference contribution
AN - SCOPUS:85182402361
T3 - Proceedings of 2023 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2023
SP - 14
EP - 20
BT - Proceedings of 2023 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2023
Y2 - 28 November 2023 through 30 November 2023
ER -