Author(s)

Naixiang Ao, Deyong Wang, Zean Zhen and Yan Tai

Corresponding Author

Naixiang Ao

ABSTRACT

Mobile edge computing has emerged as a promising technology for the next network architecture. By bring the computing and storage closer to the user devices, more functions and services become possible. However, the energy-saving problem has been considered as a significant challenge in the era of big data. In this paper, we investigate the resource allocation problem in the green mobile edge computing network. The formulated problem is a mixed integer problem, considering transmit power constraint and total delay constraint. To solve this problem, we propose an iteration algorithm. First, the integer variables are handled by our proposed heuristic algorithm in each iteration. After handling the integer variables, the continuous problem has the form of sum-of-ratio. We solve the fractional programming by transforming the problem into an equivalent formulation. The simulation results show that our proposed algorithm is energysaving with good performances.

KEYWORDS

Mobile edge computing; green communication; mixed-integer programming; sum-of-ratio; resource allocation