無(wú)線通信網(wǎng)絡(luò)建模及功率和速率控制
發(fā)布時(shí)間:2018-04-25 08:42
本文選題:功率和速率控制 + 信噪比 ; 參考:《北方工業(yè)大學(xué)》2017年碩士論文
【摘要】:無(wú)線通信網(wǎng)絡(luò)的功率和速率控制是通信領(lǐng)域和控制領(lǐng)域目前研究的一個(gè)前沿?zé)狳c(diǎn)問(wèn)題,具有較大的理論價(jià)值與實(shí)際意義。而傳輸時(shí)滯和信道衰落是功率和速率控制中需要解決的兩個(gè)主要問(wèn)題。然而到目前為止,幾乎所有的功率和速率控制方法都假設(shè)傳輸時(shí)滯是已知的和固定不變的,信道衰落用線性系統(tǒng)加高斯白噪聲描述。事實(shí)上,實(shí)際網(wǎng)絡(luò)中的傳輸時(shí)滯是未知的和時(shí)變的,而信道衰落是非線性的。本文在國(guó)家自然科學(xué)基金和北京市自然科學(xué)基金項(xiàng)目的資助下,對(duì)無(wú)線通信網(wǎng)絡(luò)的功率和速率控制進(jìn)行了較為深入的研究,主要工作與創(chuàng)新點(diǎn)如下:1、建立了一種新的基于信噪比的考慮時(shí)變時(shí)滯和非線性信道衰落的無(wú)線通信網(wǎng)絡(luò)功率和速率控制的系統(tǒng)模型。2、針對(duì)上述模型,提出了魯棒功率和速率控制方法,該方法充分考慮了由于未建模動(dòng)態(tài)和外部干擾引起的不確定性,基于線性矩陣不等式設(shè)計(jì)了魯棒功率和速率控制器,并應(yīng)用Lyapunov-Krasovskii函數(shù)對(duì)閉環(huán)系統(tǒng)的穩(wěn)定性進(jìn)行了分析。3、上述魯棒控制方法并沒(méi)有考慮發(fā)射功率受限的情況,而實(shí)際的無(wú)線通訊網(wǎng)絡(luò)中的發(fā)射功率往往是受限的,為此,提出了輸入功率受限情況下的模型預(yù)測(cè)功率和速率控制方法,并應(yīng)用Lyapunov-Krasovskii函數(shù)和線性矩陣不等式對(duì)閉環(huán)系統(tǒng)的穩(wěn)定性進(jìn)行了分析。無(wú)線通訊網(wǎng)絡(luò)功率和速率控制的目的是盡可能地以最低的發(fā)射功率獲得最大的傳輸速率,以使網(wǎng)絡(luò)的容量和吞吐量達(dá)到最大化。本文的研究對(duì)充分利用網(wǎng)絡(luò)資源并降低能耗提供理論依據(jù)及技術(shù)支撐,為飛速發(fā)展的無(wú)線通信技術(shù)提供一條新的研究途徑。
[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.
【學(xué)位授予單位】:北方工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TN92
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