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Dynamic system modelling and adaptation framework for irregular cellular networks

Posted on:2016-03-20Degree:Ph.DType:Thesis
University:University of Toronto (Canada)Candidate:Kayili, LeventFull Text:PDF
GTID:2478390017482144Subject:Electrical engineering
Abstract/Summary:
In the decades since the development of the traditional cell concept, there has been much research in the field of cellular networks for greater adaptability. In particular, networks with irregular deployment of base stations (BSs) having widely different power classes, have received much attention in industry and academia alike. In such networks, BSs of both high and low power capabilities, are deployed in broad accordance with user traffic demand. In this thesis, we consider irregular cellular networks from the viewpoint of the design, adaptability and dynamism of adaptive resource allocation.;Despite extensive research in the area, to our knowledge high-level system modelling for simulation purposes did not receive attention in the literature. We consider the development of such a model in this thesis. In particular, we assume a network with universal frequency allocation and power assignment. A high-level model representation and an adaptive coordinated resource allocation strategy is developed for such a network. A modified Monte Carlo simulation is proposed as a simulation model, which includes representation of BS and terminal deployments in scenarios either with or without hotspots, as well as a set of dynamics occurring at a large time scale. A representation including such dynamics is expected to be important for the consideration of adaptive resource allocation strategies and other adaptive functions such as Self Organization (SO) that operate at an assumed large time scale.;A shadowing model with spatial correlation is considered as part of the system model, and is generalized for a network with an arbitrary number of distinct BS power classes. Enhancements are then proposed to an adaptive re-configurable resource allocation framework which is based on dynamically forming scheduling cells at a large time scale. In particular, a strategy for BS power adaptation at a large time scale is proposed for improved interference mitigation.;The dynamic adaptation case of BS outage compensation is additionally studied as an application of the model and adaptive resource allocation.;It is believed that the high-level model with resource allocation can serve as a skeleton network model to be tailored to different purposes for more realistic network representation and design.
Keywords/Search Tags:Model, Network, Large time scale, Resource allocation, System, Adaptation, Cellular, Irregular
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