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

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI:10.1109/ICCT46805.2019.8947218

Menglu Sun, Zhenyu Zhou, Biyao Huang

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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.

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机器型通信的节能资源配置:外部性匹配方法

机机通信对智能电网的可靠运行起着至关重要的作用。为了克服频谱稀缺的问题，允许大量机型设备(mtd)对分配给蜂窝用户(cu)的频谱资源进行机会性重用。然而，信道复用带来的复杂干扰以及信道的能效问题对资源配置提出了新的挑战。本文研究了通过联合优化信道选择和功率控制来实现MTDs能效最大化的问题。首先，为每个MTD临时分配一个预定义的传输功率。其次，通过与外部性的匹配，推导出mtd与资源块(RBs)之间的匹配关系，解决渠道选择优化问题。采用非线性分式规划算法求解功率控制优化问题。仿真结果表明，该算法明显优于其他两种启发式算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 19th International Conference on Communication Technology (ICCT)

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