Wireless LAN: Study of Hidden-Terminal Effect and Multimedia Support
IC3N '98 Proceedings of the International Conference on Computer Communications and Networks
Modeling media access in embedded two-flow topologies of multi-hop wireless networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Modeling the short-term unfairness of IEEE 802.11 in presence of hidden terminals
Performance Evaluation
A general model of wireless interference
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs
IEEE/ACM Transactions on Networking (TON)
Revisiting the Hidden Terminal Problem in a CSMA/CA Wireless Network
IEEE Transactions on Mobile Computing
Efficient channel assignment algorithms for infrastructure WLANs under dense deployment
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
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Motivated by observations from real world wireless local area network (WLAN) deployments, we develop in this paper a novel analytical model to characterize the saturation throughput of an IEEE 802.11-based access point (AP) and stations under the influence of hidden terminals. Unlike existing models, our model can accommodate different numbers of hidden nodes without increasing the model complexity. Given any number of hidden nodes, only four constraints are needed to describe the interaction between stations and the AP with the consideration of both uplink and downlink traffic. Simulation evaluation shows that our model predicts network performance accurately over a wide range of network sizes and indicates the existence of a throughput starvation problem. To address this problem, based on our model, we formulate a bandwidth allocation problem to optimize the network throughput and fairness under some predefined requirements by systematically tuning the AP and stations contention windows. Simulation results show that the starvation problem is resolved with our approach, and the target throughput is met.