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Mobile-Edge Computation Offloading and Resource Allocation in Heterogeneous Wireless Networks

Mobile edge computing (MEC) has been recognized as an effective technology to augment computing capabilities to user equipments (UEs). Although some existing works have been done on MEC, but only few works focus on the area of full duplex (FD) enabled Heterogeneous Networks (HetNets), which is an important scenario in future 5G networks. In this paper, we integrate FD technology in a MEC enabled HetNets. Firstly, a maximization optimization problem of users' revenues is formulated, in which user association, computation offloading strategy policy, uplink FD transmission power allocation, and computation resource scheduling are all considered. Secondly, due to the original optimization problem is NP-hard and non-convex, we transform it into two sub problems, named user allocation optimization problem (UAOP) and resource allocation optimization problem (RAOP). Moreover, RAOP is proved as a convex problem and its optimal resource allocation solution is found by Lagrangian multiplier method. Finally, a greedy-based optimization algorithm (GBOA) is proposed to solve the original problem. The effectiveness of the proposed scheme is demonstrated by simulation results with different system parameters.