Abstract:

For the purpose of solving the problem of controlling video traffic concurrent transmission in heterogeneous wireless networks to improve quality of experience （QoE）, a video traffic concurrent transmission control model in heterogeneous wireless networks was built, which aimed at the minimization of the system transmission delay and the jitters. Then to solve the optimization problem, an explicit adaptive traffic allocation scheme was proposed. In order to closely simulate the network traffic, the video traffic with self-similarity and long-range dependence was modeled by using Pareto distribution and P/P/1 queue theory to obtain the delay of concurrent transmission system. At the same time, this model jointly considered the sender and receiver for adaptive adjusting buffer size and send rate in order to improve the user's experience. Simulation results show that, compared with commonly used traffic allocation scheme for load balancing, the proposed scheme has some advantages in aspects of delay and packet loss rate.

Key words: heterogeneous wireless network, traffic allocation, self-similar traffic, Pareto distribution, transmission delay