Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers
Chang, Z., Gong, J., Ristaniemi, T., & Niu, Z. (2016). Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers. IEEE transactions on vehicular technology, 65 (12), 9834-9846. doi:10.1109/TVT.2016.2525821
Published inIEEE transactions on vehicular technology
© 2016 IEEE. This is a final draft version of an article whose final and definitive form has been published by IEEE. Published in this repository with the kind permission of the publisher.
In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating mobile terminals (MTs) offers one potential solution for downlink content distribution and for the energy consumption reduction. Previous work on the design of CMC system mainly focused on the cloud formulation or EE investigation, while how to allocate the radio resource and schedule user transmission lacks attention. With the objective to minimize the system energy consumption, an optimization problem which jointly considers subchannel assignment, power allocation and user scheduling has been presented. We propose different algorithms to address the formulated problem based on the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant EE performance. ...