多播系统吞吐量优化中资源分配与机会调度算法研究

发布时间：2018-03-25 02:31

本文选题：多播系统　切入点：机会调度　出处：《江苏大学》2016年硕士论文

【摘要】：随着信息技术的快速发展与多播业务不断丰富,人们对高速率数据业务的需求越来越大,因此如何提高系统吞吐量成为当前首要任务。多媒体多播广播(MBMS)技术是通过服务端发送相同的数据给不同的服务订阅用户,这种方式充分利用可有效的无线频带资源,极大的提高了系统的效能。然而在传统的无线多播系统中,系统的数据传输速率取决于组内最差用户的传输速率,因此整个多播系统的吞吐量遭到受限。为了最大化系统的吞吐量,本文针对多播系统中的资源分配与机会调度算法进行了研究。通过对无线信道分布统计规律、信道反馈信息、信源编码方式联合利用对无线多播系统的资源分配算法和机会调度算法进行了优化改进。首先我们研究了多播系统中的资源分配问题,在信道全反馈下,利用分层编码可以根据用户实际信道的情况,提供不差异性服务质量的特点。提出了一种多播系统资源分配算法,包括二阶段的子载波分配算法和比特功率加载算法,在保证用户QoS的同时优化了系统的吞吐效率。其次,研究了机会调度算法,在信道有限反馈下,利用喷泉编码接收端只要接收的数据达到足够的数量,就能够成功地的解码特点,又提出了一种机会多播调度算法,并进一步根据无线信道的分布统计规律构造了系统吞吐量估计矩阵来减少算法复杂度。最后仿真实验通过在不同用户数量、不同信噪比、不同数据量、不同系统吞吐量定等多角度的将本文提出系统改进机制算法与传统的算法和其它算法对比。结果分析显示本文提出的基于两种编码方式下多播系统优化算法,在减少算法复杂度的同时提高了系统的吞吐量。
[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.
【学位授予单位】：江苏大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN929.5

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