Resource Allocation Mechanism Design For Video Communication In Heterogeneous Wireless Networks

Currently, communication and information technologies change rapidly, mobile devices update constantly, all of which make future network to be an integration of heterogeneous networks. The integration network consists of various network technologies, which coexist and cooperate with each other. Video communication develops quickly with the development of technology. As can be seen, video services gradually trend to be mobile, intelligent, high-definition by continuing to enrich and popularize. Faced with growing demand of customers, sharp increasing traffic in networks and mass business to transfer and storage, how to make full use of limited radio resources according to users’ needs and heterogeneous networks conditions is an important issue during the development of video communication. It requires achieving a fair and efficient bandwidth allocation to provide high-quality video communication services to each user, which realizes both users and networks to win through the integration and cooperation of heterogeneous wireless networks,Considering the problem of resource allocation in video communication in heterogeneous wireless networks, this thesis summarizes the current development and trend of heterogeneous networks and video communication. This thesis also studies literatures about resource allocation methods and video communication technologies. On the basis of verification and analysis for video sequence using codec on VC platform, bandwidth allocation mechanisms for resource allocation in video communication are proposed, including mechanism based on user utility, strategy based on multiclass service and fair service and bandwidth allocation game based on network selection. The main content and contribution of this thesis are as follows:(1) The H.264 codec environment was built on VC platform, on which debugging of encoding parameters for different video sequence was performed. By decoding the and analyzing the video quality indicators for different video streams at different bit rates, it can be found that different video sequences had different video distortion as well as video quality even though they were allocated the same rate or bandwidth during the actual transfer process, which makes resource allocation mechanisms for users of different video characteristics to be necessary.(2) A bandwidth allocation mechanism based on user’s utility is proposed. The user’s utility consists of user’s video distortion and bandwidth payoff. The optimal strategy is achieved by maximizing the utility function of the user and the allocation mechanism process is given. The simulation results show that the allocation mechanism has much better fairness and efficiency.(3) A bandwidth allocation strategy based on multiclass service and fair service for multiuser video communication in heterogeneous networks is proposed. The strategy builds utility function from the perspective of users’ needs and ability to pay, and applies the weight factors and different price mechanism in utility function of the user. It achieves bandwidth allocation by maximizing the utility function of the user, and gives the implementation process and the steps of the strategy. Simulation results show that the proposed strategy satisfies different requirements of users with different class services as well as leads to obtain more network revenues, which achieves a win-win result and the fair service strategy has better fairness performance among all users.(4) A bandwidth allocation game based on network selection was proposed for video communication in heterogeneous wireless networks. Firstly, according to the video characteristics of different users and current network conditions, the algorithm calculated the weights of network factors and selected the optimum network by combining analytic hierarchy process and entropy theory. Secondly, the user’s utility function with payoff and cost was designed, and a distributed iterative algorithm is used to obtain the Nash equilibrium. Then the existence and uniqueness of the Nash equilibrium are proved. Simulation results show that the proposed algorithm enables different users to reasonably distribute in different networks and takes users’ fairness and network congestion control into consideration, which increases the utilization of network resources, reduces the users’ video distortion, and improves the users’ video quality.