本文選題：多播系統(tǒng)　切入點：機會調(diào)度　出處：《江蘇大學》2016年碩士論文

【摘要】：隨著信息技術(shù)的快速發(fā)展與多播業(yè)務不斷豐富,人們對高速率數(shù)據(jù)業(yè)務的需求越來越大,因此如何提高系統(tǒng)吞吐量成為當前首要任務。多媒體多播廣播(MBMS)技術(shù)是通過服務端發(fā)送相同的數(shù)據(jù)給不同的服務訂閱用戶,這種方式充分利用可有效的無線頻帶資源,極大的提高了系統(tǒng)的效能。然而在傳統(tǒng)的無線多播系統(tǒng)中,系統(tǒng)的數(shù)據(jù)傳輸速率取決于組內(nèi)最差用戶的傳輸速率,因此整個多播系統(tǒng)的吞吐量遭到受限。為了最大化系統(tǒng)的吞吐量,本文針對多播系統(tǒng)中的資源分配與機會調(diào)度算法進行了研究。通過對無線信道分布統(tǒng)計規(guī)律、信道反饋信息、信源編碼方式聯(lián)合利用對無線多播系統(tǒng)的資源分配算法和機會調(diào)度算法進行了優(yōu)化改進。首先我們研究了多播系統(tǒng)中的資源分配問題,在信道全反饋下,利用分層編碼可以根據(jù)用戶實際信道的情況,提供不差異性服務質(zhì)量的特點。提出了一種多播系統(tǒng)資源分配算法,包括二階段的子載波分配算法和比特功率加載算法,在保證用戶QoS的同時優(yōu)化了系統(tǒng)的吞吐效率。其次,研究了機會調(diào)度算法,在信道有限反饋下,利用噴泉編碼接收端只要接收的數(shù)據(jù)達到足夠的數(shù)量,就能夠成功地的解碼特點,又提出了一種機會多播調(diào)度算法,并進一步根據(jù)無線信道的分布統(tǒng)計規(guī)律構(gòu)造了系統(tǒng)吞吐量估計矩陣來減少算法復雜度。最后仿真實驗通過在不同用戶數(shù)量、不同信噪比、不同數(shù)據(jù)量、不同系統(tǒng)吞吐量定等多角度的將本文提出系統(tǒng)改進機制算法與傳統(tǒng)的算法和其它算法對比。結(jié)果分析顯示本文提出的基于兩種編碼方式下多播系統(tǒng)優(yōu)化算法,在減少算法復雜度的同時提高了系統(tǒng)的吞吐量。
[Abstract]:With the rapid development of information technology and the continuous enrichment of multicast services, people demand more and more high-speed data services. Therefore, how to improve the throughput of the system becomes the most important task at present. The technology of multimedia multicast broadcasting MBMS sends the same data to different service subscribers through the server, which makes full use of the effective wireless frequency band resources. However, in traditional wireless multicast systems, the data transmission rate of the system depends on the transmission rate of the worst users in the group. Therefore, the throughput of the whole multicast system is restricted. In order to maximize the throughput of the system, the resource allocation and opportunity scheduling algorithms in the multicast system are studied in this paper. The resource allocation algorithm and the opportunity scheduling algorithm of wireless multicast system are optimized and improved by combining the source coding method. Firstly, we study the resource allocation problem in the multicast system, and under the full channel feedback, we study the problem of resource allocation in the multicast system. Based on the characteristics of users' actual channel, this paper presents a resource allocation algorithm for multicast system, which includes two stage subcarrier allocation algorithm and bit power loading algorithm. At the same time, the throughput efficiency of the system is optimized while the user QoS is guaranteed. Secondly, the opportunistic scheduling algorithm is studied. Under the limited channel feedback, only a sufficient number of received data can be obtained by using the fountain coding receiver. In order to successfully decode, an opportunistic multicast scheduling algorithm is proposed. Furthermore, according to the distribution statistics of wireless channel, the system throughput estimation matrix is constructed to reduce the complexity of the algorithm. Finally, the simulation results are as follows: different number of users, different signal-to-noise ratio, different amount of data. Compared with the traditional algorithm and other algorithms, the system improvement mechanism algorithm proposed in this paper is compared with the traditional algorithm and other algorithms. The results show that the proposed algorithm is based on the two coding schemes for multicast system optimization. The algorithm complexity is reduced and the throughput of the system is improved.
【學位授予單位】：江蘇大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TN929.5

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