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A Bilevel Optimization Approach for Joint Offloading Decision and Resource Allocation in Cooperative Mobile Edge

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    This study introduces a cooperative mobile edge computing offloading system (CoMECO) to minimize energy consumption for mobile users. The BiJOR approach optimizes offloading decisions and resource allocation, improving system performance.

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    Area of Science:

    • Mobile Edge Computing (MEC)
    • Distributed Systems
    • Optimization Theory

    Background:

    • Mobile edge computing enables task offloading to edge servers to reduce latency and energy consumption.
    • Cooperative strategies in MEC can enhance resource utilization and performance in multiuser environments.
    • Joint optimization of offloading decisions and resource allocation is crucial but challenging due to their coupled nature.

    Purpose of the Study:

    • To develop an efficient optimization framework for a multiuser cooperative mobile edge computing offloading (CoMECO) system.
    • To minimize total energy consumption for mobile users while satisfying delay constraints.
    • To address the coupled dependency between offloading decisions and computation resource allocation.

    Main Methods:

    • Formulated the problem as a bilevel optimization problem.
    • Proposed a bilevel optimization approach named BiJOR.
    • Utilized Ant Colony System (ACS) with pruning, sorting, and local search for the upper level.
    • Employed monotonic optimization for the lower-level resource allocation.
    • Extended BiJOR to include channel selection.

    Main Results:

    • BiJOR effectively considers the dependency between offloading decisions and resource allocation.
    • The proposed approach significantly reduces total energy consumption under delay constraints.
    • Experimental results demonstrate the effectiveness and superiority of BiJOR and the CoMECO system.
    • The method scales to systems with up to 400 mobile users.

    Conclusions:

    • The bilevel optimization approach (BiJOR) successfully addresses the complexities of multiuser cooperative MEC offloading.
    • Joint optimization of offloading and resource allocation is vital for efficient MEC systems.
    • The CoMECO system, optimized by BiJOR, offers a promising solution for energy-efficient mobile computing.