發(fā)布時(shí)間：2018-01-17 21:13

  本文關(guān)鍵詞：密集小區(qū)的無(wú)線資源管理問題研究　出處：《東南大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 密集網(wǎng)絡(luò) 無(wú)線資源管理 資源調(diào)度 功率控制 功率分配

【摘要】：無(wú)線密集網(wǎng)絡(luò)是第五代移動(dòng)通信系統(tǒng)(5G)的典型架構(gòu)。網(wǎng)絡(luò)的密集化帶來(lái)了更加復(fù)雜的干擾問題。隨著交通工具中移動(dòng)設(shè)備的增加,提高交通系統(tǒng)中通信質(zhì)量及滿足用戶在速率、時(shí)延、穩(wěn)定性等方面體驗(yàn)成為備受關(guān)注的問題。密集無(wú)線網(wǎng)絡(luò)需要高效的無(wú)線資源管理(Radio Resource Management, RRM)技術(shù)來(lái)動(dòng)態(tài)控制并管理無(wú)線資源,解決復(fù)雜的干擾問題,提高系統(tǒng)吞吐量和用戶滿意度。本文主要對(duì)密集網(wǎng)絡(luò)中的無(wú)線資源管理進(jìn)行深入研究,分別從資源調(diào)度、功率控制和功率分配三方面對(duì)密集網(wǎng)絡(luò)進(jìn)行性能優(yōu)化,論文的主要研究?jī)?nèi)容和研究成果包括以下幾個(gè)方面：(一)針對(duì)移動(dòng)交通工具用戶和普通用戶共存的移動(dòng)網(wǎng)絡(luò)場(chǎng)景,為提高移動(dòng)網(wǎng)絡(luò)通信質(zhì)量以及有效平衡系統(tǒng)吞吐量和用戶公平性,考慮移動(dòng)交通工具中的激活用戶數(shù),分別對(duì)現(xiàn)有的比例公平和最大權(quán)重時(shí)延優(yōu)先調(diào)度算法進(jìn)行了改進(jìn),并提出了一種基于時(shí)延效用函數(shù)的資源調(diào)度算法。仿真研究了改進(jìn)的比例公平、改進(jìn)的MLWDF和基于時(shí)延效用函數(shù)的資源調(diào)度算法的性能。結(jié)果表明所提的方案兼顧了系統(tǒng)吞吐量性能和用戶公平性,其中基于時(shí)延效用函數(shù)的調(diào)度算法體現(xiàn)了較高的用戶公平性,改進(jìn)的比例公平和改進(jìn)的最大權(quán)重時(shí)延優(yōu)先調(diào)度算法具有相近的、優(yōu)于基于時(shí)延效用函數(shù)方法的吞吐量性能。(二)參考3GPP的下行功率控制方法,針對(duì)密集網(wǎng)絡(luò)場(chǎng)景,提出了一種基于優(yōu)先級(jí)分組的改進(jìn)功率控制算法,既保護(hù)宏用戶,又保證Small Cell用戶的最低速率要求。研究結(jié)果表明,該算法能在保證Small Cell用戶盡可能低的中斷概率前提下,進(jìn)一步降低小小區(qū)基站發(fā)射功率,減少基站與鄰基站之間的干擾,提升系統(tǒng)用戶通信質(zhì)量。(三)提出了一種基于用戶公平性的自適應(yīng)功率分配算法,并簡(jiǎn)化了求解過程。該算法考慮了用戶最低SINR的要求,在滿足每個(gè)用戶最低信干噪比及小小區(qū)最大發(fā)射功率的約束條件下,最大化小小區(qū)系統(tǒng)容量。研究發(fā)現(xiàn),提出的算法在犧牲少量系統(tǒng)吞吐量的前提下,極大的保證了小小區(qū)用戶的公平性,降低了中斷概率。
[Abstract]:Wireless dense network is a typical architecture of the fifth generation mobile communication system (5G). The density of the network brings more complex interference problems. With the increase of mobile devices in vehicles. Improve the communication quality and meet the user rate and delay in the traffic system. Stability and other aspects of the experience have become a matter of great concern. Dense wireless networks require efficient radio resource management (RRM) radio Resource Management. RRM technology is used to dynamically control and manage wireless resources, solve complex interference problems, improve system throughput and user satisfaction. The performance of the dense network is optimized from three aspects: resource scheduling, power control and power allocation. The main research contents and research results include the following aspects: (1) the mobile network scene where mobile vehicle users and ordinary users coexist. In order to improve the communication quality of mobile network and effectively balance system throughput and user fairness, the number of active users in mobile vehicles is considered. The existing proportional fairness and maximum weight delay first scheduling algorithms are improved, and a resource scheduling algorithm based on delay utility function is proposed. The performance of improved MLWDF and resource scheduling algorithm based on delay utility function. The results show that the proposed scheme takes into account the system throughput performance and user fairness. Among them, the scheduling algorithm based on delay utility function reflects the higher user fairness, the improved proportional fairness and the improved maximum weight delay first scheduling algorithm have similar. It is better than the throughput performance based on delay utility function method. (2) reference 3GPP downlink power control method. For the dense network scenario, an improved power control algorithm based on priority grouping is proposed. It not only protects macro users, but also guarantees the minimum rate requirement of Small Cell users. The research results show that the algorithm can guarantee the lowest outage probability of Small Cell users as low as possible. Further reduce the transmission power of small cell base station, reduce the interference between base station and neighboring base station, improve the quality of system user communication. (3) propose an adaptive power allocation algorithm based on user fairness. The algorithm takes into account the requirements of the user's minimum SINR and satisfies the constraints of the minimum signal-to-noise ratio of each user and the maximum transmit power of a small cell. It is found that the proposed algorithm can greatly guarantee the fairness of small cell users and reduce the outage probability at the expense of a small number of system throughput.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN929.5

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本文編號(hào)：1437994