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In this paper, we investigate the aggregate throughput and proportional fairness of two independent secondary user (SU) groups in a cognitive radio (CR) network. Using a continuous time Markov chain, the expression for the aggregate throughput as a function of traffic intensity, forced termination and blocking probabilities is derived. Furthermore, throughput loss of the individual SU groups is analyzed...
In this paper, a performability model is developed to analyze the effect of Access Point failures on the performance of a WiFi communication system. The system consists of seven Access Points in which mobile nodes (vehicles) travel at speeds up to 60 Km/hr. Traffic information is continuously sent by the infrastructure to the vehicles (I2V) in the form of bursts of identical packets to decrease packet...
To support the differentiated Quality-of-Service (QoS) and improve the utilization of the scarce wireless bandwidth, the IEEE 802.11e standard specifies an efficient burst transmission scheme referred to as the transmission opportunity (TXOP). Recently, analytical models have been reported to evaluate the performance of the TXOP scheme. However, most of these models were developed under the assumptions...
This paper presents the formulation, modelling and analysis of network traffic for the purpose of designing an edge router, catering for a large campus. Presuming packet arrival from Poissonpsilas process, and departure or service time distribution to be exponential, a Markov model has been developed. The stochastic characteristics of the traffic has been monitored and studied over long durations...
In this paper we introduce a new dimensioning model for the optical network by the time-dependent blocking probability. This approach is motivated by [6] where the absorption probability based on transient analysis of continuous time Markov chain (CTMC) is used. Unlike the absorption probability model, the blocking probability has been used to dimensioning network for long time and has lower computation...
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