Performance Analysis of Cognitive Clustered M2M Random Networks With Joint User and Machine Device Selection

Performance Analysis of Cognitive Clustered M2M Random Networks With Joint User and Machine Device Selection
复制标题

DOI:
10.1109/access.2019.2924522
复制
发表时间:
2019-06
期刊:
影响因子:
3.9
通讯作者:
Mohammed A. M. Abdullah;Zaid Abdullah;Gaojie Chen;Jie Tang;J. Chambers
Mohammed A. M. Abdullah;Zaid Abdullah;Gaojie Chen;Jie Tang;J. Chambers
中科院分区:
计算机科学3区
文献类型:
--
作者:
Mohammed A. M. Abdullah;Zaid Abdullah;Gaojie Chen;Jie Tang;J. Chambers

文献摘要

相似文献

本文提出了一种机器对机器(M2M)通信系统,采用M2M和蜂窝用户设备(CUE)设备联合选择方案来降低系统的中断概率。根据二项点过程(BPP)对机器设备和cue进行随机定位,并提出了两种新的排序指标:一种基于M2M设备的位置,另一种基于瞬时信道增益。仿真结果表明,所提出的选择方案能够显著降低M2M网络的中断概率,同时通过限定的阈值限制对基站的干扰。采用混合双工BS在半双工(HD)和全双工(FD)之间切换,以获得相应于各种剩余自干扰水平的最佳性能。针对不同的路径损耗指数,导出了每种排序策略的停电概率的封闭公式,并通过蒙特卡罗仿真验证了分析结果。本文提出的模型及其相关分析为5G物联网(IoT)领域的进一步工作指明了道路。
In this paper, a machine-to-machine (M2M) communication system is proposed with joint M2M and cellular user equipment (CUE) device selection schemes to decrease the outage probability of the system. The machine devices and CUEs are positioned randomly according to a binomial point process (BPP), and two novel ordering metrics are proposed for the joint selection scheme: one based on the locations of the M2M devices and the other based on instantaneous channel gains. The simulation results confirm that the proposed selection scheme attains a significant reduction in the outage probability for M2M networks while limiting the interference to the base station (BS) by a delimited threshold. A hybrid-duplex BS is employed to switch between a half-duplex (HD) and a full-duplex (FD) to attain the best performance corresponding to various levels of residual self-interference. The closed-form formulas of the outage probability are derived for each of these ordering policies corresponding to different path loss exponents, and the analytical results are verified through Monte Carlo simulations. The proposed model and its related analysis is given in this paper lead the way for further work in the 5G Internet of Things (IoT) area.