Blocking probability analysis in future wireless networks

Beaubrun, Ronald; Pierre, Samuel; Conan, Jean-Marc

doi:10.1109/icc.2004.1312933

Cited by 3 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…New generation mobile cellular networks serve multiple classes of subscribers with each having a distinctively different quality of service (QoS) to support a variety of multimedia applications [17]. Our proposed model can be straightforwardly applied to the effects of mobility model on different quality of service requirements in next generation work in the concept of multi-classes.…”

Section: Multi-class Modelmentioning

confidence: 97%

“…However, it is known that if the input is not Poisson process, the invariance property of the Erlang loss model is not guaranteed [16]. Beaubrun et al propose to model each cell of networks as a G/G/c/c queueing system [17]. The analysis reveals that coefficients of variation of the call arrivals have more impact on the blocking probability than coefficient of variation of channel holding time in the single cell model.…”

Section: Matrix-valued Descriptions In Multi-cell Modelmentioning

confidence: 97%

“…Here, the derivation from (17) to (18) should be explained furthermore. Since Q B is a positive matrix and the sum of each row of Q B is less than or equal to 1, spectral radius of Q B are less than or equal to 1 by Perron-Frobenius theorem [19].…”

Section: Theorem 37 Define H (Z) By N × N Matrix-valued Moment Genermentioning

confidence: 99%

See 2 more Smart Citations

A Mobility Model and Performance Analysis in Wireless Cellular Network with General Distribution and Multi-Cell Model

Kim

Choi

2009

Wireless Pers Commun

View full text Add to dashboard Cite

Multi-cell mobility model and performance analysis for wireless cellular networks are presented. The mobility model plays an important role in characterizing different mobility-related parameters such as handoff call arrival rate, blocking or dropping probability, and channel holding time. We present a novel tractable multi-cell mobility model for wireless cellular networks under the general assumptions that the cell dwell times induced by mobiles' mobility and call holding times are modeled by using a general distribution instead of exponential distribution. We propose a novel generalized closed-form matrix formula to support the multi-cell mobility model and call holding time with general distributions. This allows us to develop a fixed point algorithm to compute loss probabilities, and handoff call arrival rate under the given assumptions. In order to reduce computational complexity of the fixed point algorithm, the channel holding time of each cell is down-modeled into an exponentially distributed one for purposes of simplification, since the service time is insensitive in computing loss probabilities of each cell due to Erlang insensitivity. The accuracy of the multi-cell analytic mobility model is supported by the comparison of the simulation results and the analytic ones.

show abstract

Section: Multi-class Modelmentioning

confidence: 97%

Section: Matrix-valued Descriptions In Multi-cell Modelmentioning

confidence: 97%

See 1 more Smart Citation

A Mobility Model and Performance Analysis in Wireless Cellular Network with General Distribution and Multi-Cell Model

Kim

Choi

2009

Wireless Pers Commun

View full text Add to dashboard Cite

show abstract

“…In this case, it has the same behavior as a general distribution, and G/G/c/c becomes equivalent to GE/ GE/c/c. Under certain assumptions [18], the traffic distribution from a GE/GE/c/c queueing system is given by…”

Section: Solution To the Modelmentioning

confidence: 99%

Analysis of Traffic Distribution and Blocking Probability in Future Wireless Networks

Beaubrun

Pierre

Conan

2006

Int J Wireless Inf Networks

View full text Add to dashboard Cite

Future wireless networks are envisioned to provide good quality multimedia services to mobile users anywhere at anytime. Traditional analysis of teletraffic in such networks assumes that call arrivals follow a Poisson process, as each cell is being modeled as an M/G/c/c queueing system. This does not reflect the real situation since handoff traffic arrivals are not generally Poissonian. In this paper, we propose to model each cell in future wireless networks as a G/G/ c/c queueing system. As such a model has not been explicitly addressed in the literature, our main contribution is to propose a solution which enables to evaluate both traffic distribution and blocking probability within each cell of the service area. Result analysis reveals that coefficient of variation of call arrivals has more impact on the network performance than coefficient of variation of channel holding time.

show abstract

“…Blocking probability can be defined as the probability that a new user requesting a particular service does not find enough resources available to fulfill such a request. It is being considered as an important design parameter for evaluating the level of quality of service (QoS) offered by a wireless network [4]. Its evaluation can be derived from a traffic model [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of blocking probability in multiservice wireless networks

Beaubrun

Ajinou

Pierre

2011

2011 IFIP Wireless Days (WD)

View full text Add to dashboard Cite

This paper proposes a method that takes into account the diversity and requirements of multimedia traffic for evaluating blocking probabilities in multiservice wireless networks. For performance evaluation, we analyze the impact of traffic intensity on the blocking probability of each class of services, and compare the results obtained from simulation with those obtained numerically using the proposed method. We realize that, in general, the blocking probabilities obtained from the proposed method are close to those obtained from simulation.

show abstract

Blocking probability analysis in future wireless networks

Cited by 3 publications

References 9 publications

A Mobility Model and Performance Analysis in Wireless Cellular Network with General Distribution and Multi-Cell Model

A Mobility Model and Performance Analysis in Wireless Cellular Network with General Distribution and Multi-Cell Model

Analysis of Traffic Distribution and Blocking Probability in Future Wireless Networks

Evaluation of blocking probability in multiservice wireless networks

Contact Info

Product

Resources

About