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A PERFORMANCE EVALUATION OF MILLIMETER-WAVE CELLULAR NETWORKS WITH USER MOBILITY

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A PERFORMANCE EVALUATION OF MILLIMETER-WAVE CELLULAR NETWORKS WITH USER MOBILITY

Nikhat, Shamma (2018) A PERFORMANCE EVALUATION OF MILLIMETER-WAVE CELLULAR NETWORKS WITH USER MOBILITY. Masters thesis, Concordia University.

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Abstract

Millimeter-Wave (mmWave) communications may be the key technology for the realization of 5G networks. MmWave communications have significantly different propagation characteristics than microwave (μWave) frequencies. The recent studies have determined the performance of cellular mmWave networks using stochastic geometry technique assuming a stationary user. The stationary user model doesn't capture correlation in the blocking of the links as the user moves on. In this work, we have determined the performance seen by a mobile user traveling over a path at constant and varying speeds. We have obtained the cumulative information received by the user as a function of its path length for different blocking intensities and cell sizes. The results show that while the received information rate doesn't vary significantly with mobility, the average path length that the mobile user is associated with a base station without interruption, drops down sharply with increasing blocking intensity. This will cause in high handover rate, which will result in high overhead. In this thesis, we have derived the probability distribution of path length that a user is associated with the same base station without interruption. This work demonstrates the significance of the user mobility on the performance of cellular mmWave networks.
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Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Refereed:No
Authors:Nikhat, Shamma
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:22 April 2018
Thesis Supervisor(s):Ali, Mustafa
ID Code:983789
Deposited By: Shamma Nikhat
Deposited On:16 Nov 2018 16:16
Last Modified:16 Nov 2018 16:16
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