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Performance Evaluation of Adaptive Backoff Mechanism of Random Access Procedures in NB-IoT

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Performance Evaluation of Adaptive Backoff Mechanism of Random Access Procedures in NB-IoT

Al Bakri, Anas (2020) Performance Evaluation of Adaptive Backoff Mechanism of Random Access Procedures in NB-IoT. Masters thesis, Concordia University.

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Abstract

Narrow Band Internet of Things (NB-IoT) is a promising radio technology that was standardized by 3GPP in 2016 for connecting a massive number of low-cost, low-power and delay-tolerant devices to the Internet of Things (IoT) with a small bandwidth of 180 KHz. Prior studies on the random access of NB-IoT have investigated its performance under various conditions and considering several mechanisms, however, the backoff mechanism as a method for contention resolution was ignored mostly either for simplification or in favor of other mechanisms while few works considered it under certain restrictions. This thesis proposes a comprehensive analytical model that evaluates the performance of random access procedures under the assumption of adaptive backoff mechanism that doubles the backoff window size for each new transmission attempt to achieve a better contention resolution.
The proposed model allows arrival of packets with different rates to each device in the network which is more practical in cases where there are noticeable differences in specifications between connected devices such as in layered, packet loss intolerant and clustered networks. The system is modeled using discrete-time analysis with First-Come-First-Served (FCFS) user queues with infinite buffers. The analysis has led to derivations of probability of successful packet transmission, mean packet delay, utilization, and probability of packet discarding. The results have shown the advantages of the adaptive backoff mechanism in improving the performance of the system compared to constant backoff. Additionally, results have demonstrated the trade-off between packet discarding probability and mean packet delay where higher number of attempts allows for almost zero packet loss probability at the cost of slightly higher delay. A simulation system was implemented which verified the accuracy of the analytical model. The results of this thesis can be helpful in designing new NB-IoT communication networks.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Al Bakri, Anas
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:9 September 2020
Thesis Supervisor(s):Mehmet Ali, Mustafa. K
ID Code:987445
Deposited By: Anas Al Bakri
Deposited On:25 Nov 2020 16:22
Last Modified:25 Nov 2020 16:22
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