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基于OFDMA異構(gòu)網(wǎng)絡(luò)的信道分配研究

發(fā)布時間:2019-03-13 08:48
【摘要】:異構(gòu)網(wǎng)絡(luò)能夠提升通信系統(tǒng)的容量,改善了傳統(tǒng)蜂窩網(wǎng)的一些系統(tǒng)性能,而且部署的經(jīng)濟成本低并且比較靈活,日趨成為通信網(wǎng)絡(luò)的一種主要網(wǎng)絡(luò)結(jié)構(gòu)。OFDMA技術(shù)能夠提供高速率的數(shù)據(jù)傳輸以及高的頻譜利用率,是一種重要的多址接入技術(shù),已經(jīng)成為業(yè)界研究的重點?煽啃允呛饬客ㄐ畔到y(tǒng)的一項重要指標,一直以來是該領(lǐng)域研究的重點與難點。無線信道的分配嚴重影響著通信系統(tǒng)的可靠性,為了提高基于OFDMA的異構(gòu)網(wǎng)絡(luò)的可靠性,本文主要研究了基于OFDMA技術(shù)的異構(gòu)網(wǎng)絡(luò)中的信道分配問題,通過設(shè)計合理的信道分配算法,提升了系統(tǒng)的可靠性。本論文的主要研究工作:1)首先,本文研究了單小區(qū)異構(gòu)網(wǎng)絡(luò)中信道分配的問題,并結(jié)合傳統(tǒng)的Greedy和WSA算法的思想,提出了一種新的基于子信道的信道分配算法,即Global Greedy算法。先詳細介紹了系統(tǒng)模型并為求解的問題建立了數(shù)學模型,然后介紹了三種傳統(tǒng)的信道分配算法,包括傳統(tǒng)的Greedy算法、WSA算法和Hungarian算法,接著提出了Global Greedy算法,最后通過設(shè)置不同的網(wǎng)絡(luò)場景,借助matlab仿真平臺對算法進行了驗證,仿真結(jié)果表明Global Greedy算法的BER性能優(yōu)于傳統(tǒng)的Greedy算法和WSA算法,其性能曲線更接近于Hungarian算法的BER性能曲線。2)其次,研究了多小區(qū)異構(gòu)網(wǎng)絡(luò)的信道分配問題,提出了多小區(qū)信道分配算法。多小區(qū)異構(gòu)網(wǎng)絡(luò)存在的小區(qū)間干擾嚴重影響著通信網(wǎng)絡(luò)的性能,本文在小區(qū)干擾的場景下,提出了基于干擾的Greedy算法,基于干擾的的WSA算法和基于干擾的Hungarian算法,然后在不同的網(wǎng)絡(luò)場景下用matlab仿真平臺進行了BER性能仿真驗證,結(jié)果表明基于干擾的Hungarian算法性能最好,其次是基于干擾的WSA算法,而基于干擾的Greedy算法的性能最差。同時,也對不同算法對系統(tǒng)的可靠性的影響做了分析、比較與總結(jié)。
[Abstract]:Heterogeneous networks can improve the capacity of communication systems, improve some of the system performance of traditional cellular networks, and the cost of deployment is low and flexible. OFDMA technology, which can provide high-speed data transmission and high spectrum efficiency, is an important multi-access technology, which has become the focus of research in the industry. Reliability is an important index to measure the communication system, and has been the focus and difficulty in this field. The allocation of wireless channels seriously affects the reliability of communication systems. In order to improve the reliability of heterogeneous networks based on OFDMA, this paper mainly studies the problem of channel allocation in heterogeneous networks based on OFDMA technology. The reliability of the system is improved by designing a reasonable channel allocation algorithm. The main work of this thesis is as follows: 1) in this paper, the problem of channel assignment in single-cell heterogeneous networks is studied, and a new channel allocation algorithm based on subchannel is proposed based on the traditional Greedy and WSA algorithms. That is, Global Greedy algorithm. Firstly, the system model is introduced in detail and the mathematical model is established to solve the problem. Then three traditional channel allocation algorithms are introduced, including the traditional Greedy algorithm, the WSA algorithm and the Hungarian algorithm, and then the Global Greedy algorithm is proposed. Finally, by setting different network scenarios, the algorithm is verified by matlab simulation platform. The simulation results show that the BER performance of Global Greedy algorithm is better than that of traditional Greedy algorithm and WSA algorithm. Its performance curve is closer to the BER performance curve of Hungarian algorithm. 2) secondly, the problem of channel allocation for multi-cell heterogeneous networks is studied, and a multi-cell channel allocation algorithm is proposed. The performance of communication network is seriously affected by the inter-cell interference in multi-cell heterogeneous networks. In this paper, the interference-based Greedy algorithm, the interference-based WSA algorithm and the interference-based Hungarian algorithm are proposed in the context of cell interference. Then the performance of BER is verified by matlab simulation platform in different network scenarios. The results show that the performance of Hungarian algorithm based on interference is the best, the performance of WSA algorithm based on interference is the second, and the performance of Greedy algorithm based on interference is the worst. At the same time, the influence of different algorithms on the reliability of the system is analyzed, compared and summarized.
【學位授予單位】:西安電子科技大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TN929.53

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