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In this paper, we study the resource allocation and user scheduling algorithmfor minimizing the energy cost of data transmission in the context of OFDMAcollaborative mobile cloud (CMC) with simultaneous wireless information andpower transfer (SWIPT) receivers. The CMC, which consists of severalcollaborating MTs offers one potential solution for downlink contentdistribution and for the energy consumption reduction at the terminal side.Meanwhile, as RF signal can carry both information and energy simultaneously,the induced SWIPT has gained much attention for energy efficiency design ofmobile nodes. Previous work on the design of CMC system mainly focused on thecloud formulation or energy efficiency investigation, while how to allocate theradio resource and schedule user transmission lacks attention. With theobjective to minimize the system energy consumption, an optimization problemwhich jointly considers subchannel assignment, power allocation and userscheduling for a group of SWIPT receivers has been presented. The formulatedproblem is addressed through the convex optimization technique. Simulationresults demonstrate that the proposed user scheduling and resource allocationalgorithms can achieve significant energy saving performance.

Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers