Research On Scalable Video Multicast Model And Resource Allocation Algorithm In Next Generation Mobile Communication Network

Recently, with the fast development of mobile communication networks, next generation mobile communication networks will provide a higher bandwidth and data rate, which will enable real-time video multicast services, including video conferencing, sports live, and online games.Currently, with the development of wireless terminal technology, different kinds of wireless device can move arbitrarily inside wireless signal coverage, which increases the heterogeneities of wireless network. Scalable video multicast (SVC) and adaptive modulation of encoding (AMC) are considered as the most effective means to solve the difference of wireless channel. It can schedule the wireless resource based on the user channel status. In this system, it is important to choose appropriate MCS for each video layer and determine the right resource allocation among multiple video sessions.With the continuous development of mobile technology, in the same cell will have different base stations, and the same user can receive data from different base station transfers, multiple base station collaboration gradually become the subject of the current research, In a scalable video multicast model based on multiple base station, the key problem is how to select the appropriate MCS and the transmission base station for each video layer, and how to allocate the power to all the sub carriers in the power allocation problem.To solve the above problems, this paper studies the scalable video multicast mechanism; the main work includes the following two directions.1. Proposed single base station scalable video multicast genetic algorithm. Firstly, we establish the basic model of scalable video multicast and analysis the resource allocation problem, and put forward the problem of MCS allocation problem in the single base station system, which proves that the problem is NP hard. Then, we transform the MCS problem into integer programming problem and a genetic algorithm is proposed to solve the integer programming problem. In order to improve the convergence of the algorithm, a dynamic penalty function term is also proposed. The simulation experiment proves that our algorithm is superior to the same kind of single base station, and the performance of this algorithm is close to the optimal algorithm.2. A joint MCS and power allocation algorithm in multiple base station system is proposed. A multiple station system on scalable video multicast model is established firstly. We analysis the transmission process in this model and consider the power allocation for sub-carrier, and proposed a joint MCS and power allocation problem in this multiple base station system. In order to solve this joint resource allocation problem, we decompose it into two sub-problems and present a dynamic programming algorithm to solve the MCS allocation problem in the multiple base station system. Then, based on the dynamic programming algorithm, a greedy algorithm is proposed to solve the combined MCS and power allocation in multiple base station system. The simulation results show that our algorithm can improve the system performance and provide a better quality of video service.