TY - GEN
T1 - UAV Positioning with Joint NOMA Power Allocation and Receiver Node Activation
AU - Gendia, Ahmad
AU - Muta, Osamu
AU - Hashima, Sherief
AU - hatano, kohei
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the Support Center for Advanced Telecommunications Technology Research Foundation. In addition, Ahmad Gendia is funded by a full scholarship from the Ministry of Higher Education of the Arab Republic of Egypt.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes reinforcement learning (RL)-based solutions for unmanned aerial vehicle (UAV) data offloading in B5G mmWave-enabled communications. This is particularly useful for ad-hoc transmission scenarios within environments experiencing connectivity issues with the main servicing network as in disaster-stricken areas. Double deep Q-network and multiarmed bandit-based algorithms are proposed to tackle the joint problem of UAV-positioning and Rx-node activation and power allocation for data offloading in downlink NOMA transmissions. Numerical simulations are performed to ensure the proposed RL-based algorithms can adequately provide high data transfer rates, along with random and exhaustive search solutions as benchmarks for lower and upper bounds on the achievable sum-rate levels.
AB - This paper proposes reinforcement learning (RL)-based solutions for unmanned aerial vehicle (UAV) data offloading in B5G mmWave-enabled communications. This is particularly useful for ad-hoc transmission scenarios within environments experiencing connectivity issues with the main servicing network as in disaster-stricken areas. Double deep Q-network and multiarmed bandit-based algorithms are proposed to tackle the joint problem of UAV-positioning and Rx-node activation and power allocation for data offloading in downlink NOMA transmissions. Numerical simulations are performed to ensure the proposed RL-based algorithms can adequately provide high data transfer rates, along with random and exhaustive search solutions as benchmarks for lower and upper bounds on the achievable sum-rate levels.
UR - http://www.scopus.com/inward/record.url?scp=85145647476&partnerID=8YFLogxK
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U2 - 10.1109/PIMRC54779.2022.9978021
DO - 10.1109/PIMRC54779.2022.9978021
M3 - Conference contribution
AN - SCOPUS:85145647476
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 240
EP - 245
BT - 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2022
Y2 - 12 September 2022 through 15 September 2022
ER -