Mobile communications
Non-saturation and saturation analysis of IEEE 802.11e EDCA with starvation prediction
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Achieving Weighted Fairness between Uplink and Downlink in IEEE 802.11 DCF-Based WLANs
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Bottleneck Analysis for Two-Hop IEEE 802.11e Ad Hoc Networks
ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
A Control-Theoretic Modeling Approach for Service Differentiation in Multi-hop Ad-hoc Networks
QEST '08 Proceedings of the 2008 Fifth International Conference on Quantitative Evaluation of Systems
A performance study on service integration in IEEE 802.11E wireless LANs
Computer Communications
Performance modeling of a bottleneck node in an IEEE 802.11 ad-hoc network
ADHOC-NOW'06 Proceedings of the 5th international conference on Ad-Hoc, Mobile, and Wireless Networks
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Two-hop ad-hoc networks, in which some nodes forward traffic for multiple sources, with which they also compete for channel access suffer from large queues building up in bottleneck nodes. This problem can often be alleviated by using IEEE 802.11e to give preferential treatment to bottleneck nodes. Previous results have shown that differentiation parameters can be used to allocate capacity in a more efficient way in the two-hop scenario. However, the overall throughput of the bottleneck may differ considerably, depending on the differentiation method used. By applying a very fast and accurate analysis method, based on steady-state analysis of an QBD-type infinite Markov chain, we find the maximum throughput that is possible per differentiation parameter. All possible parameter settings are explored with respect to the maximum throughput conditioned on a maximum buffer occupancy. This design space exploration cannot be done with network simulators like NS2 or Opnet, as each simulation run simply takes to long. The results, which have been validated by detailed simulations, show that by differentiating TXOP it is possible to achieve a throughput that is about 50% larger than when differentiating AIFS and $\text{CW}_{\text{min}}$.