Queueing Analysis of Unicast IPTV With User Mobility and Adaptive Modulation and Coding in Wireless Cellular Networks
This work addresses network performance issues for providers of unicast IPTV services in wireless cellular networks, offering incremental improvements through precise admission control and resource allocation.
The paper tackled the performance impact of unicast IPTV services on wireless cellular networks by deriving closed-form solutions for bandwidth usage, blocking rate, and dropping rate using a queueing model that incorporates user mobility and adaptive modulation and coding, with simulations validating the accuracy of the analytical results.
Unicast IPTV services that can support live TV, video-on-demand (VoD), video conferencing, and online gaming applications over broadband wireless cellular networks have been becoming popular in recent years. However, video streaming services significantly impact the performance of wireless cellular networks because they are bandwidth hogs. To maintain the system performance, effective admission control and resource allocation mechanisms based on an accurate mathematical analysis are required. On the other hand, the quality of a wireless link usually changes with time due to the user mobility or time-varying channel characteristics. To counteract such time-varying channels and improve the spectral efficiency, adaptive modulation and coding (AMC) scheme can be adopted in offering unicast IPTV services for mobile users. In this paper, closed-form solutions for the bandwidth usage, blocking rate, and dropping rate of unicast IPTV services over wireless cellular networks were derived based on the novel queueing model that considers both user mobility and AMC. Simulations were also conducted to validate the accuracy of analytical results. Numerical results demonstrate that the presented analytical results are accurate. Based on the accurate closed-form solutions, network providers can implement precise admission control and resource allocation for their networks to enhance the system performance.