An Analysis of Machine-Type-Communication on Human-Type-Communication over Wireless Communication Networks

2015 ◽  
Author(s):  
Parampreet Sidhu ◽  
Isaac Woungang ◽  
Glaucio H.S. Carvalho ◽  
Alagan Anpalagan ◽  
Sanjay K. Dhurandher
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication

scholarly journals Analysis of impact of machine-type-communication on human-type communication over wireless communication networks

2021 ◽  
Author(s):  
Parampreet Sidhu
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Blocking Probability ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication ◽  
The Impact ◽  
Source Management

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.

scholarly journals Analysis of impact of machine-type-communication on human-type communication over wireless communication networks

2021 ◽  
Author(s):  
Parampreet Sidhu
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Blocking Probability ◽  
Wireless Communication Networks ◽  
Machine Type ◽  
Human Type ◽  
Machine Type Communication ◽  
The Impact ◽  
Source Management

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.

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