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)
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
IEEE 802.11 saturation throughput analysis in the presence of hidden terminals
IEEE/ACM Transactions on Networking (TON)
Evaluating a computer-based simulation program to support wireless network fundamentals
Computers & Education
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In this paper, we develop a Markov model to evaluate the performance of WLAN in the presence of hidden terminals. We focus on characterizing and studying the scenario of an access point with a population of clients partitioned into two mutually hidden groups, and derive a model to estimate the network throughput and the individual nodes' throughput. We propose a general methodology to solve the Markov chain by forming a nonlinear system of equations which describes the relationship between the conditional state transition probabilities, the transmission attempts probability and the steady state probability. Unlike alternative approaches, it is not necessary to invoke iterative methods to solve this system. We also demonstrate how our methodology and model can be used to estimate the optimal stable rate for each source in the WLAN as a means for rate control to achieve a given fairness principle between hidden groups of nodes and avoid starvation or congestion collapse for one group. Simulation results attest to the accuracy of our proposed model.