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Stochastic Geometry Based Analysis of Candidate Technologies for 5G Cellular Systems Open Access


Other title
Cognitive Radio
Fading Channels
Stochastic Geometry
Type of item
Degree grantor
University of Alberta
Author or creator
Kusaladharma, Sachitha P
Supervisor and department
Tellambura, Chintha (Electrical and Computer Engineering)
Examining committee member and department
Duncan Elliott (Electrical and Computer Engineering)
Majid Khabbazian (Electrical and Computer Engineering)
Raviraj Adve (University of Toronto)
Yindi Jing (Electrical and Computer Engineering)
Ehab Elmallah (Computing Science)
Tellambura, Chintha (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering
Date accepted
Graduation date
2017-11:Fall 2017
Doctor of Philosophy
Degree level
Future fifth generation (5G) cellular standards incorporate new emerging technologies such as cognitive radio, device to device (D2D), interweave, energy harvesting, massive MIMO, and millimeter wave networks. However, the achievable gains of these technologies are limited by the spatial randomness of nodes and network interference. Spatial locations of nodes are increasingly random. Characterizing the impacts of this randomness on system parameters is a main motivation of this thesis. Moreover, when two networks coexist in the same geographical area, interference occurs between the networks in addition to interference within each network. The interplay between different technologies is also of high interest as they will be deployed in tandem. Therefore, the main communication problem addressed in this thesis is the characterization of interference among spatially random nodes for co-existing networks under emerging technologies. The main contributions of this thesis are categorized as follows: 1) Development of power control and receiver association schemes for an annular underlay CR network and investigation of their performance, 2) Development of co-operative beacon detection schemes for interweave CR networks and investigation of their performance, 3) Investigation of the feasibility of wireless energy harvesting for an underlay CR network using stochastic geometry and markov chain based models, 4) Quantifying the effect of performance degradation for an underlaid receiver when base stations use massive MIMO, and 5) Development of an analytical framework to analize performance degradation to an underlaid D2D network employing millimeter wave frequencies. It is shown that stochastic geometry models provide vital insights into key network design considerations while incorporating most system and channel parameters. The research outcomes will potentially improve spectral efficiency, throughput, and coverage in fifth generational (5G) cellular networks.
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
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