An empirical study of effective capacity throughputs in 802.11 wireless networks

Abstract

Abstract-Current literature defines the effective capacity of a wireless link as the maximum throughput that can be supported while meeting specific Quality of Service targets on packet delay. This metric can be harnessed for a wide variety of QoS control routines within wireless networks such as traffic optimisation and delay sensitive admission control and routing. However to date, no empirical evaluation of the effective capacity of 802.11 wireless links has been carried out. We present an empirical study of the effective capacity throughput of 802.11 wireless links under a number of network scenarios. We evaluate an analytical effective capacity model and compare the result with an empirical evaluation. We find that with an accurate measurement of the channel service delay, the effective capacity model can approximate the empirical measurement quite well. We also evaluate the relationship between the effective bandwidth of multimedia traffic and demonstrate that when the effective bandwidth exceeds the effective capacity threshold of a wireless link, the probability of QoS violations increases. We conclude that the effective capacity measurement is usable within an operational setting, and can lead to optimized utilization of bandwidth in a wide range of delay sensitive control operations.

CrEST: An effective capacity estimation tool for wireless networks

“…By understanding these properties of the wireless link, one can appropriately manage traffic to ensure specific QoS targets on packet delay are met. It has been shown in [9] that this model is sufficiently accurate (ranging from 1% -10% relative error for different scenarios) in comparison to an empirical based estimation.…”

“…CrEST is reliant on the result published in [9] that the effective capacity model can accurately estimate the probability of queue delay given as input the average queue sizeq and the interface service indicatorγ using both Equation (13) and (14). CrEST is an active based measurement tool that injects packets into the network.…”

“…In the chosen scenario, there is no cross traffic or competing nodes. The effective capacity estimations for the chosen scenario can be viewed in [9].…”

Effective capacity analysis of smart grid communication networks

“…It has been verified that τ s can be approximated by τ s = 1/ (2µ) [12], [13]. So a simple approximation ofθ considering the effect of MAC layer can be obtained bŷ…”

Self-Organizing TDMA MAC Protocol for Effective Capacity Improvement in IEEE 802.11 WLANs

“…To empirically measure EC, an estimation procedure is proposed in [13], [15] where the delay-outage probability can be approximated as…”