Cost Minimization for Cooperative Computation Framework in MEC Networks

In this paper, a cooperative task computation framework exploits the resource in user equipments (UEs) to accomplish more tasks meanwhile minimizes power consumption of UEs. The system cost includes UEs' and penalty unaccomplished tasks, is minimized by jointly optimizing binary offloading decisions, computational frequencies, transmit power. To solve formulated mixed-integer non-linear programming problem, three efficient algorithms are proposed, i.e., integer constraints relaxation-based iterative algorithm (ICRBI), heuristic matching algorithm, decentralized algorithm. ICRBI achieves best performance at highest complexity, while significantly reduces complexity still providing reasonable performance. As previous two centralized, also provided further reduce it suitable for scenarios that cannot provide central controller. simulation results validate gain terms total obtained proposed framework.