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Improving Resource Allocation and Power Fairness in Emerging Mobile Cellular Network Technologies

机译:在新兴的移动蜂窝网络技术中提高资源分配和功率公平性

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摘要

This new millennium has been regarded as the era of the digital wireless communications revolution. With the intention of meeting the demands of the current customers' services and bridging to the future digital network, namely 5G network, the duty of the radio resource management (RRM) to quantify different altitudes should be carried out in an effective mechanism for avoiding any potential waste of resources, power, and processing time.;Therefore, this research intends to study and investigate the resource management for downlink radio access network in LTE-A and 5G systems. Furthermore, the packet scheduling, minimizing power, and guaranteeing suitable fairness of radio resources consistent with the latest 3rd Generation Partnership Project (3GPP) documents, are considered as the potential topics to be discussed.;The main contribution of this work is to introduce new scheduling cross-layer optimization schemes that can be used for finding a middle ground between the energy efficiency and fairness for LTE-A and 5G networks. These novel schemes will be designed and tested for examining if they reach their goals.;This dissertation starts with clarifying the RRM schemes used in the literature for LTE-A and 5G systems. Then, a novel optimization model is proposed to overcome the weaknesses of the fairness of the current conventional schemes and improve energy efficiency for LTE-A network. Next, the bandwidth-expansion concept is considered as a possible solution to minimize the downlink transmitted power while maintain system throughput, where an optimization model is developed for utilizing the resource allocation of single-input-single-output (SISO) mode.;Subsequently, multiple input multiple output (MIMO) technique is considered for improving the spectral efficiency of LTE-A network.;On the other hand, the applicability of the developed optimization models in this work is not limited to the LTE-A system, where the issues how to derive the closed-form or exact expressions of the future 5G systems are investigated as well. In addition, challenging research topics are included for extending to more promise paradigms, such as networks densification, using femtocell under LTE-A cellular environment, elaborating relay nodes scheme to present new scenarios that could be used for enhancing the transmission for the 5G systems.
机译:这个新的千年被认为是数字无线通信革命的时代。为了满足当前客户服务的需求并桥接到未来的数字网络(即5G网络),应该在有效的机制中执行无线电资源管理(RRM)量化不同海拔高度的职责因此,本研究旨在研究和研究LTE-A和5G系统中下行无线接入网络的资源管理。此外,与最新的第三代合作伙伴计划(3GPP)文档一致的数据包调度,最小化功率并确保适当的无线电资源公平性,也被认为是有待讨论的潜在话题。计划可用于在LTE-A和5G网络的能效和公平性之间找到中间地带的跨层优化方案。这些新颖的方案将进行设计和测试,以检查它们是否达到了目标。本论文首先阐明了文献中用于LTE-A和5G系统的RRM方案。然后,提出了一种新颖的优化模型,以克服当前传统方案公平性的弱点,并提高LTE-A网络的能效。接下来,带宽扩展概念被认为是在保持系统吞吐量的同时最小化下行链路发射功率的一种可能解决方案,其中开发了一种优化模型以利用单输入单输出(SISO)模式的资源分配。 ,考虑采用多输入多输出(MIMO)技术来提高LTE-A网络的频谱效率。另一方面,所开发的优化模型在这项工作中的适用性不限于LTE-A系统,其中还研究了如何得出未来5G系统的封闭形式或精确表达的问题。此外,包括具有挑战性的研究主题,以扩展到更多有希望的范例,例如在LTE-A蜂窝环境下使用毫微微小区扩展网络致密化,精心设计中继节点方案以呈现可用于增强5G系统传输的新场景。

著录项

  • 作者

    Al-Doori, Bilal Rabah.;

  • 作者单位

    University of Arkansas at Little Rock.;

  • 授予单位 University of Arkansas at Little Rock.;
  • 学科 Engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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