HIQCO: A Hierarchical Optimization Method for Computation Offloading and Resource Optimization in Multi Cell Mobile Edge Computing Systems
Mobile Edge Computing (MEC) addresses the shortcomings of mobile devices in terms of computing performance and energy efficiency by offloading computation tasks to the edge of the network. In this paper, a multi cell MEC system is considered, where each small cell connects to a common MEC server, and the problem of minimizing system overhead in the MEC system is solved by jointly optimizing the computation offloading decisions, communication and computational resources. This problem is a mixed integer nonlinear programming problem (MINLP) Owning to the combined nature and complexity of this problem, we adopt a method to transform the original problem into two sub problems: (i) joint optimization computation offloading decision and channel assignment problem (JO CODCA) and (ii) joint optimization transmission power and computational resource allocation problem (JO TPCRA) For the transformed sub problems, we propose a hierarchical optimization method (HIQCO) that combines immune algorithm (IA) quasi convex optimization and convex optimization techniques. Experimental results show that the proposed HIQCO give better performance comparing with the other compared algorithms in terms of system overhead.
IEEE Access