Application of Erlang B model in modern VoIP networks

Misuth, Tibor; Baroňák, Ivan

doi:10.1109/tsp.2011.6043736

Cited by 6 publications

(4 citation statements)

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“…Once the overload situation occurs, it has tendency to last longer (seconds or more) and even making the queue larger cannot prevent it from filling up to 100% rapidly. Therefore for lower traffic load (20 Erl and less) it is advisable to use a different model to estimate packet loss [11] or to expect higher packet loss than is this model calculation.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Application of M/G/1/K model for aggregated VoIP traffic packet loss estimation

Misuth

Baroňák

2012

2012 35th International Conference on Telecommunications and Signal Processing (TSP)

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Section: Simulation and Resultsmentioning

confidence: 99%

Application of M/G/1/K model for aggregated VoIP traffic packet loss estimation

Misuth

Baroňák

2012

2012 35th International Conference on Telecommunications and Signal Processing (TSP)

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“…These factors lead to the conclusion that the system operates similar to an M/M/m/m queuing model. So, in this system the blocking probability can be calculated using the Erlang B formula as presented in [31].…”

Section: Model Considerationsmentioning

confidence: 99%

VoLTE Call Blocking Estimation in Cellular LTE Network

Dehury,

Pati

2024

Preprint

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In recent years, Voice over LTE (VoLTE) has emerged as a significant technological solution for delivering voice services in wireless cellular networks. However, it’s often observed that call blocking occurs in Long Term Evolution (LTE) network when initiating new calls and during handoff procedures from one cell to another. New call requests may be blocked due to configuration failures, and handoff call failures can result from reconfiguration issues. These failures typically arise from the unavailability of radio resources. The availability of resources, specifically within LTE cells providing VoLTE service, vary depending on the combination of voice codecs and Modulation and Coding Scheme (MCS) used. This variability significantly impacts the call blocking performance of the LTE network, and requires further investigation. In this paper, we propose an analytical model based on Physical Resource Block (PRB)s utilizing Markov chain approach to reflect LTE scenarios delivering VoLTE service. Using this model, we estimate the VoLTE call blocking probability in the LTE network while considering different combinations of voice codecs and MCSs, as recommended by Third Generation Partnership Project (3GPP).

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“…The difference between two-link shaping methods was identified, and a starttime fair queuing was shown to be more suitable for the video traffic, establishing that the Erlang model is an appropriate choice for Variable Bit Rate traffic calculations on losses. Another research on the Erlang model has been applied for packet loss estimation in VoIP networks [16], where Misuth & Baronak presented a way of calculating the values of input variables, i.e. traffic load in Erlangs and number of lines, based on the characteristics of the codec in use and link interconnecting communication nodes.…”

Section: Erlang-loss Systemmentioning

confidence: 99%

“…These values help to obtain packet loss probability, and their expectations were verified by simulations. It was also shown in [16] that the buffer utilisation in network nodes could positively influence the measured packet loss probability, and the Erlang B model could be used to determine the upper bound of packet loss probability in the general worst-case scenario where no buffer is available.…”

Section: Erlang-loss Systemmentioning

confidence: 99%

Optimisation of Server Selection for Maximising Utility in Erlang-Loss Systems

Pietowski¹,

Vien²,

Phan³

2020

EAI Endorsed Transactions on Industrial Networks and Intelligen

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This paper undertakes the challenge of server selection problem in Erlang-loss system (ELS). We propose a novel approach to the server selection problem in the ELS taking into account probabilistic modelling to reflect a practical scenario when user arrivals vary over time. The proposed framework is divided into three stages, including i) developing a new method for server selection based on the M/M/n/n queuing model with probabilistic arrivals; ii) combining server allocation results with further research on utility-maximising server selection to optimise system performance; and iii) designing a heuristic approach to efficiently solve the developed optimisation problem. Simulation results show that by using this framework, Internet Service Providers (ISPs) can significantly improve QoS for better revenue with optimal server allocation in their data centre networks.

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Application of Erlang B model in modern VoIP networks

Cited by 6 publications

References 0 publications

Application of M/G/1/K model for aggregated VoIP traffic packet loss estimation

Application of M/G/1/K model for aggregated VoIP traffic packet loss estimation

VoLTE Call Blocking Estimation in Cellular LTE Network

Optimisation of Server Selection for Maximising Utility in Erlang-Loss Systems

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