Research On Multicast System Throughput Optimization Resource Allocation And Scheduling Algorithm Research Opportunity

With the rapid development of information technology and enrich the multicast business, people growing demand for high rate data business, so how to improve the system throughput become the top priority.Multimedia broadcast multicast(MBMS) technology is through the server to send the same data to different service subscribers, take full advantage of this way can effectively wireless bandwidth resources, greatly improve the efficiency of the system.However, in the traditional wireless multicast system, system of data transmission rate depends on the worst in the group the user’s transmission rate, so the whole multicast system throughput were limited.In order to maximize the system throughput, this article on the allocation of resources and opportunities for multicast systems scheduling algorithm is studied.Through the wireless channel distribution statistics law, the feedback of channel and source coding way joint use of the wireless multicast system resource allocation algorithm and the scheduling algorithm is optimized to improve the opportunity.First of all, we studied the resource allocation problem in multicast system, under the full feedback channel, using hierarchical coding can according to customer’s actual situation, channel provides no difference characteristics of service quality.A multicast system resource allocation algorithm is proposed, including two stages of subcarrier allocation algorithm and bit loading algorithm, power in the QoS guarantee users optimize the throughput of the system efficiency.Secondly, studied the scheduling algorithm, under the limited feedback channel, the use of fountain codes at the receiving end as long as the number of received data to achieve enough, will be able to successfully decoding characteristics, and put forward a kind of chance multicast scheduling algorithm, and further is constructed according to the distribution of wireless channel statistical system throughput estimation matrix to reduce the algorithm complexity.Finally simulation results by different number of users, SNR, different amount of data and system throughput angles in this paper,system improvement mechanisms such as fixed algorithm compared with the traditional algorithm and other algorithms.Results show that the proposed based on two kinds of coding mode multicast system optimization algorithm, at the same time in reducing the complexity of algorithm to increase the throughput of the system.