Analysis of packet loss for real-time traffic in wireless mobile networks with ARQ feedback

In this paper, the provision of quality-of-service (QoS) for real-time traffic over a wireless channel deploying automatic repeat request (ARQ) error control is investigated. By introducing the concepts of ARQ capacity and effective capacity, an analytic model has been derived to evaluate the loss probabilities in both the network layer and the physical layer. In contrast to the previous results, this model quantifies the interaction between the network and physical layers. As shown by the simulation experiments, our analysis can predict the real metrics under a wide range of conditions. This enables the call admission controller in wireless networks to control and optimize traffic QoS using instantaneous channel status information.

[1]  Jong-Moon Chung,et al.  Priority queueing analysis of self-similar in high-speed networks , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[2]  P. Glynn,et al.  Logarithmic asymptotics for steady-state tail probabilities in a single-server queue , 1994, Journal of Applied Probability.

[3]  Ness B. Shroff,et al.  Admission control for statistical QoS: theory and practice , 1999, IEEE Netw..

[4]  Daryoush Habibi,et al.  Loss performance analysis for heterogeneous ON-OFF sources with application to connection admission control , 2002, TNET.

[5]  Jong-Moon Chung,et al.  An analytical framework for EDF schedulers based on the dominant time scale , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[6]  John J. Metzner.  Reliable data communications , 1997 .

[7]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[8]  Ilkka Norros,et al.  GPS schedulers and Gaussian traffic , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[9]  Nick Duffield,et al.  Large deviations and overflow probabilities for the general single-server queue, with applications , 1995 .

[10]  Ness B. Shroff,et al.  A central-limit-theorem-based approach for analyzing queue behavior in high-speed networks , 1998, TNET.

[11]  Jong-Moon Chung,et al.  Efficient energy utilization with time constraints in mobile time varying channels , 2000, IEEE Trans. Veh. Technol..

[12]  Jong-Moon Chung,et al.  A statistical framework for EDF scheduling , 2003, IEEE Communications Letters.

[13]  Zhi Quan,et al.  Priority queueing analysis of self-similar traffic in high-speed networks , 2003 .

[14]  J. Hayes,et al.  Adaptive Feedback Communications , 1968 .

[15]  Ness B. Shroff,et al.  A measurement-analytic approach for QoS estimation in a network based on the dominant time scale , 2003, TNET.

[16]  John J. Metzner,et al.  Efficient Selective Repeat ARQ Strategies for Very Noisy and Fluctuating Channels , 1985, IEEE Trans. Commun..

[17]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..