Energy-Efficient Resource Allocation for Machine-Type Communications: A Matching with Externalities Approach

Abstract

Machine-type communication plays a critical role in the reliable operation of smart grid. To overcome the problem of spectrum scarcity, the massive number of machine-type devices (MTDs) are allowed to reuse the spectrum resource allocated to the cellular users (CUs) opportunistically. However, the complicated interference caused by channel reusing and the energy efficiency issues pose new challenges on resource allocation. In this paper, we investigate the problem of energy efficiency maximization for MTDs via jointly optimizing channel selection and power control. At first, each MTD is temporally allocated with a predefined transmission power. Next, the channel selection optimization problem is solved by matching with externalities to derive the matching relationship between MTDs and resource blocks (RBs). And the power control optimization problem is solved by the nonlinear fractional programming algorithm. Simulation results demonstrate that the proposed algorithm outperforms the other two heuristic algorithms distinctly.