基于QoS的数能一体化网络传输策略研究

发布时间：2018-05-23 14:10

本文选题：数能一体化网络 + 能量收集　；参考：《电子科技大学》2017年硕士论文

【摘要】：迅猛发展的无线通信技术同时也带来了日益突出的能量消耗问题,数能一体化无线通信网络(Data and Energy Integrated Communication Networks, DEINs)的提出旨在解决传统无限通信系统中的能量消耗问题,在一定程度上实现无线通信的节能减排。本文基于数能一体化网络相关研究背景和相应的网络服务指标(Quality of Service, QoS),主要从两个方面对数能一体化网络展开研究,即数能一体化网络的资源分配和传输策略。本文首先介绍了数能一体化无线通信网络的研究现状和相关技术,主要包括能量收集技术、数能一体传输技术、数能一体化网络中的资源分配以及数能一体化网络与其他具体网络的融合应用。能量收集技术和数能一体传输技术是数能一体化网络的技术基础。本文着重描述了目前数能一体化网络关于资源分配问题,数能一体化网络中的资源分配策略需要考虑无线传输能量的影响因素。然后,本文研究了关于数能一体化网络中上行传输数据、下行传输数据和能量的传输决策问题。基于一般的网络系统模型,采用马尔科夫决策过程分析系统模型,在满足上行传输和下行传输在一定数据包丢失率约束下,建立了关于系统吞吐量最大回报的最优决策分析模型。通过求解模型,得到某一个系统状态下系统各个决策的概率。最后仿真说明了相关系统状态下的各个决策的概率,并分析对比了一般策略下和最优策略下系统吞吐量,说明了最优策略的性能。最后,本文针对数能一体传输中的资源分配展开研究。基于传统的蜂窝网络,考虑下行数能一体传输和上行传输数据的系统模型,通过下行的能量传输来满足上行传输数据所需要的能量,建立了以系统下行吞吐量为优化目标,满足上行数据传输所需能量的上下行联合优化模型。另外,在多用户的系统中,考虑公平性因素,建立最大化最小模型。通过对模型的求解仿真,描述了系统对于资源的分配结果,并通过仿真分析说明了公平性因素的影响。
[Abstract]:The rapid development of wireless communication technology also brings more and more prominent energy consumption problem. The purpose of data and Energy Integrated Communication Networks, DEINs) is to solve the problem of energy consumption in traditional infinite communication system. To a certain extent, to achieve wireless communication energy saving and emission reduction. Based on the related research background of digital energy integration network and the corresponding network service index, quality of Service, QoS, this paper focuses on two aspects of logarithmic energy integration network, that is, the resource allocation and transmission strategy of digital energy integrated network. Firstly, this paper introduces the research status and related technologies of digital energy integrated wireless communication network, mainly including energy collection technology, digital energy integrated transmission technology. The resource allocation in the digital energy integration network and the fusion application of the digital energy integration network with other specific networks. Energy collection technology and digital energy transmission technology are the technical foundation of digital energy integrated network. In this paper, the problem of resource allocation in digital energy integrated networks is described. The influence factors of wireless transmission energy need to be considered in the resource allocation strategy of digital energy integration networks. Then, this paper studies the transmission decision of uplink data, downlink transmission data and energy in digital energy integrated network. Based on the general network system model, the Markov decision process analysis system model is used to satisfy the uplink transmission and downlink transmission with a certain packet loss rate constraint. An optimal decision analysis model for the maximum return of system throughput is established. By solving the model, the probability of each decision in a system state is obtained. Finally, the simulation shows the probability of each decision under the relevant system state, and analyzes and compares the system throughput under the general strategy and the optimal strategy, and explains the performance of the optimal strategy. Finally, this paper studies the resource allocation in digital-energy transmission. Based on the traditional cellular network, considering the downlink digital transmission and uplink data transmission system model, the downlink energy transmission is used to satisfy the energy needed for uplink transmission data, and the system downlink throughput is established as the optimization goal. Uplink and downlink joint optimization model to satisfy the energy required for uplink data transmission. In addition, in multi-user systems, the fairness factor is taken into account, and the maximum minimum model is established. The results of resource allocation of the system are described through the simulation of the model, and the influence of fairness factors is explained by simulation.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN92

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