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

TL;DR

This paper proposes an energy-efficient resource allocation and user scheduling algorithm for OFDMA collaborative mobile clouds with SWIPT receivers, aiming to reduce transmission energy costs through convex optimization.

Contribution

It introduces a joint optimization framework for subchannel assignment, power allocation, and user scheduling in CMC with SWIPT, which was not addressed in prior work.

Findings

Significant energy savings achieved in simulations.

Joint optimization outperforms separate approaches.

Effective resource allocation for SWIPT-enabled CMC systems.

Abstract

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 MTs offers one potential solution for downlink content distribution 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 of mobile nodes. Previous work on the design of CMC system mainly focused on the cloud formulation or energy efficiency 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 for a group of SWIPT receivers has been presented. The formulated problem is addressed through the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant energy saving performance.