Reliability and Latency Aware Code-Partitioning Offloading in Mobile Edge Computing

Jianhui Liu, Qi Zhang

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review


    A variety of emerging use cases, e.g. virtual reality, autonomous vehicle, etc., require to reliably complete computation-intensive tasks within stringent latency. Mobile edge computing (MEC) is one of the promising solutions to provide computation capacity with low latency. However, it may cause extra communication cost to offload task to MEC via wireless channel. It is challenging to optimize the offloading decision considering the finite resource that is available at edge node for a user. In this paper, we study the code-partitioning offloading strategy where the computational task of the user is modeled by a directed acyclic graph. The reliability and latency of offloading are analyzed comprehensively. An optimization problem is formulated to minimize the offloading failure probability, subject to the latency constraint. Due to the non-convexity, we propose a heuristic algorithm to solve the problem with low complexity. The numerical results show that the proposed algorithm significantly improves the probability to reach the targeted reliability. The heuristic algorithm doubles the performance compared with the naive scheme, in particular, when the latency constraint is stringent. Furthermore, the proposed algorithm is applicable in various network conditions.

    Original languageEnglish
    Title of host publication2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
    Number of pages7
    Publication date2019
    Article number8885778
    ISBN (Electronic)978-1-5386-7646-2
    Publication statusPublished - 2019
    EventIEEE Wireless Communications and Networking Conference: IEEE WCNC 2019 - Marrakech, Morocco
    Duration: 15 Apr 201918 Apr 2019


    ConferenceIEEE Wireless Communications and Networking Conference
    Internet address


    • 5G
    • code-partitioning offloading
    • mobile edge computing
    • ultra-reliable low latency communications


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