2016/07/21 by Ali Al-Shuwaili, Al-Shuwaili, Ali, Osvaldo Simeone +5
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Satellite Communication Systems
paper · pdf · doi:10.48550/arxiv.1607.06521
openalex publication_date 2016/07/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Mobile cloud computing enables the offloading of computationally heavy\napplications, such as for gaming, object recognition or video processing, from\nmobile users (MUs) to cloudlet or cloud servers, which are connected to\nwireless access points, either directly or through finite-capacity backhaul\nlinks. In this paper, the design of a mobile cloud computing system is\ninvestigated by proposing the joint optimization of computing and communication\nresources with the aim of minimizing the energy required for offloading across\nall MUs under latency constraints at the application layer. The proposed design\naccounts for multiantenna uplink and downlink interfering transmissions, with\nor without cooperation on the downlink, along with the allocation of backhaul\nand computational resources and user selection. The resulting design\noptimization problems are nonconvex, and stationary solutions are computed by\nmeans of successive convex approximation (SCA) techniques. Numerical results\nillustrate the advantages in terms of energy-latency trade-off of the joint\noptimization of computing and communication resources, as well as the impact of\nsystem parameters, such as backhaul capacity, and of the network architecture.\n