Distributed Computation Offloading and Power Allocation for Wireless Virtualization Aided Mobile Edge Computing
Yulun Cheng, Longxiang Yang, Hongbo Zhu · Proceedings of the 2nd International Conference on Computer Science and Application Engineering · 2018
The1 promising feature of Mobile edge computing (MEC) is to provide computation capabilities at the wireless access networks, so as to reduce latency and improve user experience. Besides, wireless virtualization is also an emerging solution to reduce deployment cost for future wireless networks. This paper investigates the joint allocation of task offloading and transmission power for wireless virtualization aided MEC. Firstly, to minimize energy consumption, a centralized allocation is proposed by using mixed integer nonlinear programming. Then, the formulated problem is equivalently solved by Lagrange dual decomposition. On the basis of that, a distributed algorithm is proposed, which can solve computation offloading and power allocation within each MEC server separately. The effectiveness of the proposed algorithm is evaluated by simulations, and it shows that the proposed distributed algorithm can minimize energy consumption while converges to the optimal solutions.