摘 要：机器类通信技术能够实现与 4G、5G 蜂窝网络的无缝集成、短分组接入和不连续传输，实时监控能量的产生、传输、转换和消耗情况，因此机器类通信对智能电网运行的稳定性起着重要作用。由于频谱资源的稀缺性，我们允许大量的机器类型设备及时地复用分配给蜂窝用户的频谱资源。但是信道复用引起的能效问题使得资源分配面临新的问题。文章提出的算法将基于一对一匹配，最大限度地提高能效。仿真结果表明，与其他算法相比，该算法能以较低的复杂度更好地逼近穷举算法的最优性能。
关键词：机器类通信；能量效率；匹配算法
中图分类号：TN929.5 文献标识码：A 文章编号：2096-4706（2020）06-0071-03
An Efficient Allocation Method of Machine Class Communication Resources
WANG Yiran，SUN Meng
（North China Electric Power University，Beijing 102206，China）
Abstract：Machine communication technology can realize seamless integration，short packet access and discontinuous transmission with 4G and 5G cellular networks，and monitor the generation，transmission，conversion and consumption of energy in real time. Therefore，machine communication plays an important role in the stability of smart grid operation. Due to the scarcity of spectrum resources，we allow a large number of machine type devices to reuse spectrum resources allocated to cellular users in time. But the energy efficiency problem caused by channel multiplexing makes resource allocation face new problems. The algorithm proposed in this paper will be based on one-to-one matching to maximize energy efficiency. The simulation results show that compared with other algorithms，this algorithm can better approximate the optimal performance of the exhaustive algorithm with lower complexity.
Keywords：machine class communication；energy efficiency；matching algorithm
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作者简介：
王一然（1998.11-），男，汉族，天津人，本科，研究方向：通信工程；
孙萌（1996.08-），男，汉族，山东费县人，硕士，研究方向：物联网中的资源分配、干扰控制、能量控制和机器学习等。