无线通信网络建模及功率和速率控制

发布时间：2018-04-25 08:42

本文选题：功率和速率控制 + 信噪比　；参考：《北方工业大学》2017年硕士论文

【摘要】：无线通信网络的功率和速率控制是通信领域和控制领域目前研究的一个前沿热点问题,具有较大的理论价值与实际意义。而传输时滞和信道衰落是功率和速率控制中需要解决的两个主要问题。然而到目前为止,几乎所有的功率和速率控制方法都假设传输时滞是已知的和固定不变的,信道衰落用线性系统加高斯白噪声描述。事实上,实际网络中的传输时滞是未知的和时变的,而信道衰落是非线性的。本文在国家自然科学基金和北京市自然科学基金项目的资助下,对无线通信网络的功率和速率控制进行了较为深入的研究,主要工作与创新点如下:1、建立了一种新的基于信噪比的考虑时变时滞和非线性信道衰落的无线通信网络功率和速率控制的系统模型。2、针对上述模型,提出了鲁棒功率和速率控制方法,该方法充分考虑了由于未建模动态和外部干扰引起的不确定性,基于线性矩阵不等式设计了鲁棒功率和速率控制器,并应用Lyapunov-Krasovskii函数对闭环系统的稳定性进行了分析。3、上述鲁棒控制方法并没有考虑发射功率受限的情况,而实际的无线通讯网络中的发射功率往往是受限的,为此,提出了输入功率受限情况下的模型预测功率和速率控制方法,并应用Lyapunov-Krasovskii函数和线性矩阵不等式对闭环系统的稳定性进行了分析。无线通讯网络功率和速率控制的目的是尽可能地以最低的发射功率获得最大的传输速率,以使网络的容量和吞吐量达到最大化。本文的研究对充分利用网络资源并降低能耗提供理论依据及技术支撑,为飞速发展的无线通信技术提供一条新的研究途径。
[Abstract]:Power and rate control in wireless communication networks is a hot topic in the field of communication and control, which is of great theoretical value and practical significance. Transmission delay and channel fading are two main problems in power and rate control. However, up to now, almost all power and rate control methods assume that transmission delays are known and fixed, and channel fading is described by linear system Gabor noise. In fact, the transmission delay in the real network is unknown and time-varying, while the channel fading is nonlinear. Supported by the National Natural Science Foundation of China and the Natural Science Foundation of Beijing, this paper makes a deep research on the power and rate control of wireless communication network. The main work and innovations are as follows: 1. A new system model of power and rate control for wireless communication network based on SNR is established, which considers time-varying delay and nonlinear channel fading. Robust power and rate control methods are proposed. The robust power and rate controllers are designed based on linear matrix inequalities (LMIs), taking into account the uncertainties caused by unmodeled dynamics and external disturbances. The stability of the closed-loop system is analyzed by using Lyapunov-Krasovskii function. The robust control method mentioned above does not consider the transmission power limitation, but the transmission power in the actual wireless communication network is often limited. A model predictive power and rate control method with input power constraints is proposed, and the stability of the closed-loop system is analyzed by using Lyapunov-Krasovskii function and linear matrix inequality (LMI). The purpose of power and rate control in wireless communication networks is to obtain the maximum transmission rate with the lowest transmission power, so as to maximize the capacity and throughput of the network. The research in this paper provides a theoretical basis and technical support for making full use of network resources and reducing energy consumption, and provides a new research approach for the rapid development of wireless communication technology.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN92

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