Abstract
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.
Highlights
The Internet of Things (IoT) promises to provide contemporary administrations for a wide scope of application, extending from individual to industrial environments [1]
This paper addresses the aforementioned drawbacks by employing stochastic geometry to simulate the mobile nature of M2M and Cellular User Equipment (CUE) devices
We propose a new cognitive cluster-based M2M system, where stochastic geometry is adopted to model the locations of the CUEs and M2M devices
Summary
The Internet of Things (IoT) promises to provide contemporary administrations for a wide scope of application, extending from individual to industrial environments [1]. M. Abdullah et al.: Performance Analysis of Cognitive Clustered M2M Random Networks we propose a system model exploiting cluster-based M2M communications where the cluster head collects the traffic from M2M devices using CR technology. The work on M2M communications is in early stages with only limited works focusing on cognitive or cluster-based M2M scenarios In this context, a clusterbased scheme is presented by Wang et al [14] where M2M traffic is directed to the BS under the control of the clusterhead while the Cellular User Equipment (CUE) devices can directly access the BS. We propose a new cognitive cluster-based M2M system, where stochastic geometry is adopted to model the locations of the CUEs and M2M devices. PERFORMANCE ANALYSIS OF THE PROPOSED TWO-HOPS SYSTEM we derive closed-form expressions for the outage probability of our proposed two-hops system with joint CUE and M2M device selection.
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