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Mobile cloud computing enables the offloading of computationally heavyapplications, such as for gaming, object recognition or video processing, frommobile users (MUs) to cloudlet or cloud servers, which are connected towireless access points, either directly or through finite-capacity backhaullinks. In this paper, the design of a mobile cloud computing system isinvestigated by proposing the joint optimization of computing and communicationresources with the aim of minimizing the energy required for offloading acrossall MUs under latency constraints at the application layer. The proposed designaccounts for multiantenna uplink and downlink interfering transmissions, withor without cooperation on the downlink, along with the allocation of backhauland computational resources and user selection. The resulting designoptimization problems are nonconvex, and stationary solutions are computed bymeans of successive convex approximation (SCA) techniques. Numerical resultsillustrate the advantages in terms of energy-latency trade-off of the jointoptimization of computing and communication resources, as well as the impact ofsystem parameters, such as backhaul capacity, and of the network architecture.

Joint Uplink/Downlink Optimization for Backhaul-Limited Mobile Cloud Computing with User Scheduling