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- Title
Task offloading and resource allocation for UAV-assisted mobile edge computing with imperfect channel estimation over Rician fading channels.
- Authors
Wang, Guangying; Yu, Xiangbin; Xu, Fangcheng; Cai, Jiali
- Abstract
In this paper, we develop task offloading and resource allocation scheme for unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system with channel estimation errors over Rician fading channels. The objective is to maximize the system utility with constrained network stability, transmit power, and data arrival rate. We consider a general multi-user UAV-assisted MEC system based on frequency division multiple access (FDMA), and we assume that the computation tasks are split into separate tasks and offloaded to the server for computing. We study stochastic computational resource management based on the Lyapunov optimization algorithm. The optimal transmit power and bandwidth allocation for computation offloading are obtained alternately, and the optimal computation task admission at each time slot and the optimal value of the auxiliary variable are derived. Simulation results verify the effectiveness of the proposed scheme in the paper and evaluate the influence of various parameters to the system performance.
- Subjects
RICIAN channels; CHANNEL estimation; MOBILE computing; FREQUENCY division multiple access; RESOURCE allocation; DRONE aircraft; BANDWIDTH allocation
- Publication
EURASIP Journal on Wireless Communications & Networking, 2020, Vol 2020, Issue 1, pN.PAG
- ISSN
1687-1472
- Publication type
Article
- DOI
10.1186/s13638-020-01780-8