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Task offloading and resource allocation for UAV-assisted mobile edge computing with imperfect channel estimation over Rician fading channels
- Source :
- EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-19 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
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 :
- Computer Networks and Communications
Computer science
Real-time computing
lcsh:TK7800-8360
02 engineering and technology
Computational resource
01 natural sciences
Computation task offloading
lcsh:Telecommunication
Rician fading
lcsh:TK5101-6720
0202 electrical engineering, electronic engineering, information engineering
Computer Science::Networking and Internet Architecture
Computation offloading
Resource allocation
Mobile edge computing
Frequency-division multiple access
010401 analytical chemistry
lcsh:Electronics
020206 networking & telecommunications
Lyapunov optimization
Unmanned aerial vehicle
Transmitter power output
0104 chemical sciences
Computer Science Applications
Bandwidth allocation
Signal Processing
Channel estimation error
Subjects
Details
- Language :
- English
- ISSN :
- 16871499
- Volume :
- 2020
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Wireless Communications and Networking
- Accession number :
- edsair.doi.dedup.....def7678bd2cd8fbea2fe2a3fd1b57ade