Joint Offloading Framework to Support Communication and Computation Cooperation

In order to support communication and computation cooperation, we propose MC-RAN architecture, which consists of mobile cloud (MC) as the computation provision platform and radio access network (RAN) as the communication interface. The MC-RAN aims to undertake the following tasks: (1) to increase user equipments’ computing capacity by triggering offloading action, especially for those UEs which cannot complete the computations locally; (2) to reduce the energy consumption for all the UEs by considering limited computing and communication resources; (3) to decrease the whole MCRAN’s energy consumption. To achieve the above tasks, uplink offloading framework is proposed. To reduce the signaling between UE and MC-RAN, decentralized local decision algorithm (DLDA) is firstly proposed for each UE to estimate the local execution and offloading energy and decide if offloading is in its interest. Then, centralized access control algorithm (CACA) is conducted by MC-RAN with the global information to decide the offloading set. Based on the offloading set, centralized resource allocation algorithm (CRAA) is employed to optimize the offloading power of each UE, corresponding receive beamforming vectors in MC-RAN and the active RRH and fronthaul pairs, with the objective of minimizing the energy consumption of the whole system including MC-RAN and UEs. Intex Terms Communication and Computation Cooperation, Joint Offloading Framework, Resource Allocation, MC-RAN. Kezhi Wang and Kun Yang are with the School of Computer Sciences and Electrical Engineering, University of Essex, CO4 3SQ, Colchester, U.K, (e-mails: {kezhi.wang, kunyang}@essex.ac.uk). Cunhua Pan is with School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, U.K, (e-mails: [email protected]) Jiangzhou Wang is with School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, CT2 7NZ, U.K, (e-mail: [email protected]).