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

被引:6
作者
Abdullah, Mohammed A. M. [1 ]
Abdullah, Zaid [2 ]
Chen, Gaojie [2 ]
Tang, Jie [3 ]
Chambers, Jonathon [2 ]
机构
[1] Ninevah Univ, Coll Elect Engn, Comp & Informat Engn Dept, Mosul 41002, Iraq
[2] Univ Leicester, Dept Engn, Leicester LE1 7HB, Leics, England
[3] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510006, Guangdong, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
M2M communications; stochastic geometry; cognitive radio; hybrid-duplex; device selection; STOCHASTIC GEOMETRY; RELAY SELECTION; WIRELESS NETWORKS; COMMUNICATION; RADIO; ALLOCATION; INTERNET; SYSTEMS; DESIGN;
D O I
10.1109/ACCESS.2019.2924522
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 (1-D) 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.
引用
收藏
页码:83515 / 83525
页数:11
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