Contact Ratio Aware Mobile Edge Computing for Content Offloading

Peiyan Yuan, Yunyun Cai

Abstract: Content offloading in mobile edge computing is one of the effective ways to alleviate network congestion. This paper studies the content offloading problem in buffer-constraint edge scenarios. First, the content offloading problem is transformed into the maximum delivery rate and minimum transmission delay problem integrating the heterogeneous contact rate between users and small base stations. Second, a Lagrangian multiplier method is employed to compute the optimal numbers of offloading copy for each file, and then a greedy algorithm which can achieve the optimality with a probability 1 - 1/e is proposed, followed by a distributed algorithm with the same performance as the greedy one. Finally, the proposed schemes are compared with the classical algorithms, and the simulation results show that they enhance the content delivery rate and reduce the transmission delay in different popularity distributions and buffer sizes.