Performance and stability of communication networks via robust exponential bounds
IEEE/ACM Transactions on Networking (TON)
A central-limit-theorem-based approach for analyzing queue behavior in high-speed networks
IEEE/ACM Transactions on Networking (TON)
HSDPA/HSUPA for UMTS: High Speed Radio Access for Mobile Communications
HSDPA/HSUPA for UMTS: High Speed Radio Access for Mobile Communications
Scaling properties of statistical end-to-end bounds in the network calculus
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
Closed-form analysis of end-to-end network delay with Markov-modulated Poisson and fluid traffic
Computer Communications
WiMAX: Technology for Broadband Wireless Access
WiMAX: Technology for Broadband Wireless Access
LTE for UMTS - OFDMA and SC-FDMA Based Radio Access
LTE for UMTS - OFDMA and SC-FDMA Based Radio Access
An analytical expression for service curves of fading channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Effective capacity: a wireless link model for support of quality of service
IEEE Transactions on Wireless Communications
Queuing with adaptive modulation and coding over wireless links: cross-Layer analysis and design
IEEE Transactions on Wireless Communications
Statistical service assurances for traffic scheduling algorithms
IEEE Journal on Selected Areas in Communications
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Stochastic Network Calculus is a modern theory for studying the delay performance of a queuing system. So far, this theory proved very effective in studying QoS in the wireline transmission media. In fact, it provides an upper bound to the probability tail of the queuing delay and requires only the expression of an arrival curve, which models the traffic source, and of a service curve, which models the scheduling discipline. In this paper, we propose a model of the wireless channel based on Stochastic Network Calculus and provide an analytical expression for the first two moments of the service curve of a wireless channel capacity varies over time according to a Rayleigh fading process, such as in the WiMAX and LTE systems. We also provide an approximate closed-form expression for the probability tail of the queuing delay. Finally, we compare our results to simulations in order to assess the validity of our approach.