Traffic Model and Performance Analysis of Cellular Mobile Systems for General Distributed Handoff Traffic and Dynamic Channel Allocation

Bhattacharya, Samya; Gupta, H. M.; Kar, Subrat

doi:10.1109/tvt.2008.919992

Cited by 17 publications

(7 citation statements)

References 25 publications

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“…The parameters, μ t , μ h , and μ d are the mean call termination rate, mean call handoff rate, and mean call departure rate, respectively. All these processes are Poisson distributed [6].…”

Section: Engset Traffic Model For Dcamentioning

confidence: 99%

“…Hence, the number of channels (k) not feasible due to the interference can be modeled with parameters C , λ e , where λ e = ξ/(1 − ξ) is the normalized forward transition parameter, with backward transition parameter as unity. Note that we have compared our model, presented in this paper, with [3] and [6] using Poisson traffic. Our model is found to be in good agreement with other models however, due to space constraints, we are unable to show the results here.…”

Section: A Estimation Of the Parameters Of The Markov Chainmentioning

confidence: 99%

See 1 more Smart Citation

A 3-D Markov Chain Model for a Multi-Dimensional Indoor Environment

Bhattacharya

Qazi

Elmirghani

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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In this paper, a pico-cellular airport traffic model is proposed which supports Engset distributed fresh call arrival process and General distributed handoff process with Dynamic Channel Allocation (DCA). The proposed model enables load balancing using DCA and uses a three-dimensional Markov chain to compute traffic congestion and call congestion for any kind of traffic streams, including Pure Chance Type-I (PCT-I) or Pure Chance Type-II (PCT-II). The application of the proposed model is illustrated in assessing indoor mobility to evaluate QoS parameters. The proposed airport traffic model is fairly general in the sense that it is not restricted by number of users, user mobility or range of offered load, and can be reduced to predict congestion for Poisson distributed fresh call arrival processes and General distributed handoff processes.

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Section: Engset Traffic Model For Dcamentioning

confidence: 99%

Section: A Estimation Of the Parameters Of The Markov Chainmentioning

confidence: 99%

A 3-D Markov Chain Model for a Multi-Dimensional Indoor Environment

Bhattacharya

Qazi

Elmirghani

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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show abstract

“…Based on the above observations, Bhattacharya et al [20][21][22]42,43] developed a number of traffic models and an indoor mobility model for channelized cellular mobile systems in both densely and lightly populated scenarios. These models were used to investigate the performance of the above systems in terms of the QoS parameters.…”

Section: Recent Studies Addressing the Open Problemsmentioning

confidence: 99%

“…A wide range of user-centric applications are anticipated in the future in the context of designing integrated networks for airport terminals, shopping malls or even for a home Personal Communication System (PCS) [5,6]. Investigating such futuristic systems present significant challenges in the areas such as the interaction between multiple interfaces [4], pico-cell and femto cell environments [7,8], Quality of Service (QoS) [9], traffic modeling [2,[10][11][12], user mobility modeling [11,[13][14][15][16][17][18] and handoff processes [19][20][21]. Though, there are some discrete, environment-specific simulation studies [4,8] available at present, the in-depth research on such futuristic systems requires more organized and analytical approach with simulation and experiments as verification tools.…”

Section: Introductionmentioning

confidence: 99%

Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Bhattacharya¹,

Gupta²,

Kar³

2010

IETE Tech Rev

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In this paper, we review some of the earlier studies on performance modeling of cellular mobile systems and their improvements proposed in some recent studies. These studies deal with a number of cellular mobile traffic models for fixed channel allocation and dynamic channel allocation, considering the cases, where user population is either infinite or finite. Further, the modeling of handoff process based on various traffic profile has also been investigated. The proposed traffic models were used for mobility modeling and performance analysis in terms of some Quality of Service (QoS) parameters. We also comment on the future scopes of performance analysis in the context of Green Information and Communication Technologies, which may lead to energy-efficient and environment friendly future cellular mobile systems.

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“…Researchers have proposed several methods on traffic modeling and forecasting for mobile networks recently [1]- [3]. However, traffic is always nonlinear, unstationary and influenced by immeasureable factors.…”

Section: Introductionmentioning

confidence: 99%

Clustered complex echo state networks for traffic forecasting with prior knowledge

Liu

Jia

2011

2011 IEEE International Instrumentation and Measurement Technology Conference

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For mobile communication traffic, an accurate prediction result plays an important role in network management, capacity planning, traffic congestion control, channel equalization, etc. This paper proposes a clustered complex echo state network for mobile communication traffic forecasting with prior knowledge. In order to reflect some learning mechanisms of real world organization, various complexities such as small-world features and scale-free node degree distribution were introduced to the dynamic reservoir of original Echo State Network (ESN) and viewed as promising tools for function approximation, modeling of nonlinear dynamic systems, and chaotic time series prediction. Our further observation on the real traffic collected by China Mobile Communications Corporation (CMCC) Heilongjiang Co.Ltd., showed the property of multi-periodicities. Based on this characteristic, Fourier spectrum was chosen as the prior knowledge in this paper for generating multiple functional clusters, corresponding to the frequency components revealed in traffic series of each cell, in the dynamic reservoir of complex echo state network. Experiment results on real traffic showed that: the forecasting accuracy of proposed prior knowledge based clustered complex echo state network (PCCESN) model is superior to that of original ESN models and provides decisionmaking support for network planning and optimization of mobile network.

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Traffic Model and Performance Analysis of Cellular Mobile Systems for General Distributed Handoff Traffic and Dynamic Channel Allocation

Cited by 17 publications

References 25 publications

A 3-D Markov Chain Model for a Multi-Dimensional Indoor Environment

A 3-D Markov Chain Model for a Multi-Dimensional Indoor Environment

Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Clustered complex echo state networks for traffic forecasting with prior knowledge

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