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Stochastic Comparisons of cell losses with the PushOut access mechanism associated with arbitrary service policies

Fourneau J.-M., Pekergin F.

Theoretical and Applied Informatics

2006

Vol. 18, nr 4

279-292

We compare thc number of lost cells in switches managed by the PushOut mechanism and scheduled under an arbitrary service policy, by applying the comparison of stochastic processes in the strong stochastic ordering sense. New telecommunication networks will provide Quality of Service differentiation. This implies buffer management mechanisms such as the PushOut mechanism to warrant quality for loss-sensitive sessions. Using sample-path arguments, we present the relationships between the speed of scheduling policies and the number of lost cells under PushOut mechanism.

A study of HIPERLAN-type noncooperative medium access control setting in a wireless LAN.

Konorski J.

Systems Science

2002

Vol. 28, nr 1

71-84

A single-hop wireless LAN is considered. Stations are contended for access to the shared radio channel using an elective-type MAC protocol whose two components are: a common scheduling policy that provides a framework for taking elective actions and defines winning elective actions, and contention strategies that dictate actions in successive protocol cycles. In a noncooperative setting the two components are logically separate: besides cooperative stations that use a standard HIPERLAN-type contention strategy, there are noncooperative stations that use self-optimising strategies at the bandwidth cost of the former, yet in order to conceal their nature and maintain proper synchronisation adhere to the scheduling policy. This paper proposes a self-regulatory solution whereby the scheduling policy and the contention strategy used by c-stations are jointly designed so as to invoke a noncooperative inter-station game with a fair outcome. A family of policies, termed EB/ECD-Monotone( Delta ), and contention strategies called the closed shop and best response are proposed and found satisfactory upon evaluation via simulation with a focus on bandwidth distribution under heavy-load.