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
Modeling the 802.11 distributed coordination function in nonsaturated heterogeneous conditions
IEEE/ACM Transactions on Networking (TON)
Stochastic modelling and analysis of 802.11 DCF with heterogeneous non-saturated nodes
Computer Communications
A new framework for QoS provisioning in WLANS using p-persistent 802.11 MAC
Computer Communications
A new queueing model for QoS analysis of IEEE 802.11 DCF with finite buffer and load
IEEE Transactions on Wireless Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modeling Nonsaturated IEEE 802.11 DCF Networks Utilizing an Arbitrary Buffer Size
IEEE Transactions on Mobile Computing
IEEE Transactions on Wireless Communications
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Comprehensive QoS analysis of enhanced distributed channel access in wireless local area networks
Information Sciences: an International Journal
A Throughput Model of IEEE 802.11aa Intra-Access Category Prioritization
Wireless Personal Communications: An International Journal
802.11 buffers: when bigger is not better?
WiFlex'13 Proceedings of the First international conference on Wireless Access Flexibility
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Among the IEEE 802.11 models proposed in the literature most concentrate solely on homogeneous traffic sources (i.e., with the same arrival rate) and there are only a few which concentrate on heterogeneous nonsaturated traffic sources. This paper proposes a comprehensive analysis of heterogeneous traffic sources (saturated or nonsaturated) with M/M/1/K queues. The mathematical model proposed in this paper allows the calculation of the following parameters: per-station and network throughput, delay (including service time and queuing delay), and frame loss probability (including probability of dropping a frame at the MAC layer and in a transmission queue). Simulation results show the impact of the presence of different traffic source types on each other and validate the correctness of the proposal for a variable number of stations and under different network loads. Importantly, the new model is kept reasonably simple to attract network designers. We provide examples of its practical applicability by performing an estimation of the maximum number of voice calls which can be accepted by a particular network and the optimal buffer size.