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Dynamic system modelling and adaptation framework for irregular cellular networks.

机译:不规则蜂窝网络的动态系统建模和自适应框架。

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摘要

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.
机译:自传统小区概念发展以来的几十年中,在蜂窝网络领域中已经进行了许多研究以提高适应性。特别地,具有广泛不同的功率等级的具有不规则部署的基站(BS)的网络已经在工业界和学术界受到了广泛的关注。在这样的网络中,广泛地根据用户业务需求部署了具有高功率能力和低功率能力的BS。本文从适应性资源分配的设计,适应性和动态性的角度考虑了不规则蜂窝网络。尽管在该领域进行了广泛的研究,但我们对用于仿真目的的高级系统建模的知识并未受到文献的关注。 。本文考虑了这种模型的发展。特别地,我们假设一个具有通用频率分配和功率分配的网络。为此网络开发了高级模型表示和自适应协作资源分配策略。提出了一种改进的蒙特卡洛仿真作为仿真模型,其中包括在有或没有热点的场景中,BS和终端部署的表示,以及在较大时间尺度上发生的一组动态。对于考虑自适应资源分配策略以及在假定的较大时间尺度上运行的其他自适应功能(例如自组织(SO)),预期包含此类动态的表示非常重要。具有空间相关性的阴影模型被认为是其中的一部分系统模型,适用于具有任意数量的不同BS功率等级的网络。然后提出了对自适应可重配置资源分配框架的增强,该框架基于在大时间尺度上动态形成调度单元。尤其是,提出了一种在较大时间尺度上用于BS功率自适应的策略,以改善干扰的缓解。;另外,还研究了BS中断补偿的动态自适应情况,作为模型和自适应资源分配的应用。具有资源分配的高级模型可以用作骨架网络模型,可以针对不同的目的量身定制网络模型,以实现更实际的网络表示和设计。

著录项

  • 作者

    Kayili, Levent.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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