Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 26, Issue 1, Pages 104-108Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2018.2880081
Keywords
Cooperative vehicle infrastructure system (CVIS); vehicular communication; mobile edge computing; computation offloading; dynamic programming
Categories
Funding
- National Natural Science Foundation of China [61822101, 61672082, 61711530247]
- State Scholarship Fund [201706020112]
- Royal Society-Newton Mobility [IE160920]
- Engineering, and Physical Sciences Research Council [EP/P025862/1]
- EPSRC [EP/P025862/1] Funding Source: UKRI
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Computation offloading is critical for mobile applications that are sensitive to computational power, while dynamic and random nature of vehicular networks makes it challenging to guarantee the reliability of vehicular computation offloading. In this letter, we propose a reliability-oriented stochastic optimization model based on the dynamic programming for computation offloading in the presence of the deadline constraint on application execution. Specifically, a theoretical lower bound of the expected reliability of computation offloading is derived, and then an optimal data transmission scheduling mechanism is proposed to maximize the lower bound with consideration of randomness in vehicle-to-infrastructure communications. Experimental results demonstrate that our mechanism can outperform the conventional scheme and benefits vehicular computation offloading in terms of reliability performance in stochastic situations.
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