| Autor: |
Ziyuan Tong, Hang Shen, Ning Shi, Tianjing Wang, Guangwei Bai |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
ETRI Journal, Vol 45, Iss 5, Pp 874-886 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1225-6463 |
| DOI: |
10.4218/etrij.2022-0136 |
| Popis: |
A joint resource-optimization scheme is investigated for nonorthogonal multiple access (NOMA)-enhanced scalable video coding (SVC) multicast in unmanned aerial vehicle (UAV)-assisted radio-access networks (RANs). This scheme allows a ground base station and UAVs to simultaneously multicast successive video layers in SVC with successive interference cancellation in NOMA. A video quality-maximization problem is formulated as a mixedinteger nonlinear programming problem to determine the UAV deployment and association, RAN spectrum allocation for multicast groups, and UAV transmit power. The optimization problem is decoupled into the UAV deployment-association, spectrum-partition, and UAV transmit-power-control subproblems. A heuristic strategy is designed to determine the UAV deployment and association patterns. An upgraded knapsack algorithm is developed to solve spectrum partition, followed by fast UAV power fine-tuning to further boost the performance. The simulation results confirm that the proposed scheme improves the average peak signal-to-noise ratio, aggregate videoreception rate, and spectrum utilization over various baselines. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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