Research Article
Dynamic Computation Offloading and Resource Allocation for Multi-access Edge Computing Networks
@INPROCEEDINGS{10.1007/978-3-031-36011-4_2, author={Meng Wang and Shuo Shi and Xi Wang}, title={Dynamic Computation Offloading and Resource Allocation for Multi-access Edge Computing Networks}, proceedings={6GN for Future Wireless Networks. 5th EAI International Conference, 6GN 2022, Harbin, China, December 17-18, 2022, Proceedings, Part I}, proceedings_a={6GN}, year={2023}, month={7}, keywords={multi-access edge computing computation offloading resource allocation imperfect CSI}, doi={10.1007/978-3-031-36011-4_2} }- Meng Wang
Shuo Shi
Xi Wang
Year: 2023
Dynamic Computation Offloading and Resource Allocation for Multi-access Edge Computing Networks
6GN
Springer
DOI: 10.1007/978-3-031-36011-4_2
Abstract
This paper studies the computation offloading and resource allocation of Multi-access Edge Computing Networks (MEC) networks under stochastic task arrivals and imperfect channle state conditions (CSI). We aim to minimize the energy consumptions of all mobile users (MUs) while satisfying the stability of all MUs’ queues by optimizing the transmit power, computational frequency and offloading ratio. The problem is modeled as a a long-term average stochastic optimization problem which cannot be solved trivially. To address this, we firstly apply the Lyapunov framework to transform the long-term average optimization problem into a series of per-slot optimization subproblems, and then an iterative optimization method is proposed to decompose the perslot optimization subproblem into three toy problems. The simulation results demonstrate the convergence and performance of the proposed algorithm.
