Abstract

With the advent of new wireless technologies, it is expected that the use of Machine-Type Communication (MTC) will significantly increase in next generation wireless networks. Wireless communication networks are considered to support MTC due to their availability and existing infrastructures. As these networks are designed and optimized in a way that they fit best for Human Type Communication (HTC), there is a need of an efficient radio re- source management (RRM) to accommodate MTC traffic without affecting the regular HTC traffic in the network. In this thesis, a continuous-time Markov chain (CTMC) model-based RRM scheme is proposed to analyze the impact of MTC traffic on HTC traffic in wireless communication networks, in terms of blocking probability and channel utilization. Numerical results are provided, demonstrating the effectiveness of the proposed RRM scheme in providing the quality of service (QoS) isolation between HTC and MTC traffic.

Highlights

  • The last few decades have been in full agreement with Moore’s Law [1] which states that computing hardware will double its capacity every two years

  • We propose a radio resource management (RRM) scheme for analyzing the influence of Machine Type Communication (MTC) traffic on human type communication (HTC) traffic over wireless communication networks

  • This chapter covers the main contributions of our thesis since it describes our proposed continuous-time Markov chain (CTMC)-based RRM scheme used to analyze the impact of MTC traffic on HTC traffic in wireless communication networks, with respect to predefined performance metrics

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Summary

State transition diagram of state s of the CTMC model (a)

41 4.9 Channel Utilization for HTC vs arrival rate of MTC with varied thresholds. 42 4.10 Channel Utilization for HTC vs arrival rate of MTC with constant MTC. 4.12 Channel Utilization for MTC vs arrival rate of MTC with varied thresholds. 44 4.13 Channel Utilization for MTC vs arrival rate of MTC with constant MTC. 4.15 Channel Utilization of shared area vs arrival rate of MTC with varied thresh-. 4.18 Channel Utilization of shared area vs arrival rate of MTC without thresholds. 48 4.19 Channel Utilization of shared area vs arrival rate of HTC with varied thresh-. 4.20 Channel Utilization of shared area vs arrival rate of HTC with constant MTC. 4.21 Channel Utilization of shared area vs arrival rate of HTC with constant HTC. 4.22 Channel Utilization of shared area vs arrival rate of HTC without thresholds.

Context
Research Problem
Approach
Thesis Outline
Background
Wireless Communication Networks
Human-Type Communication
Machine-Type Communication
Current State-Of-The-Art in 3GPP Specifications
Radio Resource Management
Related Work
System Model and Traffic Assumptions
States of the CTMC Model
States Transition
Blocking Probabilities and Channel Utilization
Chapter 4 Performance Evaluation
Network Parameters
Scenarios Under Analysis
Performance Metrics
Scenario I
Scenario II
Scenario III
Scenario IV
Scenario V
Scenario VI
Conclusion

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