On the Handoff-Call Blocking Probability Calculation in W-CDMA Cellular Networks

Kallos, G.A.; Moscholios, Ioannis D.; Logothetis, Michael D.

doi:10.1109/aict.2008.36

Cited by 14 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the literature, there are many teletraffic loss models that describe the co-existence of new and handover calls in a cell (see e.g., [26]- [32], [20], [35]- [39]). Their classification can be done in various ways, e.g., in terms of the bandwidth sharing policy, the call arrival process, the amount of bandwidth requested by calls etc.…”

Section: Related Workmentioning

confidence: 99%

“…Their classification can be done in various ways, e.g., in terms of the bandwidth sharing policy, the call arrival process, the amount of bandwidth requested by calls etc. To briefly describe the aforementioned models, we classify them in single-rate ( [26]- [28]) and multirate ( [29]- [32], [20], [35]- [39]) models. In [26]- [28], new or handover calls request only one channel in order to be connected in the system.…”

Section: Related Workmentioning

confidence: 99%

“…The latter is used for the accurate and efficient calculation of the link occupancy distribution in a multirate loss system which accommodates Poisson arriving calls under the CS policy. Other teletraffic models that explicitly distinguish new and handover traffic and can be described by extensions of the K-R formula are [20], [35]- [39]. In the PrTH policy, the calculation of the system's occupancy distribution is based on a convolution algorithm.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

State-Dependent Bandwidth Sharing Policies for Wireless Multirate Loss Networks

Moscholios

Logothetis

Boucouvalas

2017

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

Abstract-We consider a reference cell of fixed capacity in a wireless cellular network while concentrating on next-generation network architectures. The cell accommodates new and handover calls from different service-classes. Arriving calls follow a random or quasi-random process and compete for service in the cell under two bandwidth sharing policies: i) a probabilistic threshold (PrTH) policy, or ii) the multiple fractional channel reservation (MFCR) policy. In the PrTH policy, if the number of inservice calls (new or handover) of a service-class exceeds a threshold (different between new and handover calls), then an arriving call of the same service-class is accepted in the cell with a predefined state-dependent probability. In the MFCR policy, a real number of channels is reserved to benefit calls of certain service-classes; thus a service priority is introduced. The cell is modeled as a multirate loss system. Under the PrTH policy, call-level performance measures are determined via accurate convolution algorithms, while under the MFCR policy, via approximate but efficient models. Furthermore, we discuss the applicability of the proposed models in 4G/5G networks. The accuracy of the proposed models is verified through simulation.Comparison against other models reveals the necessity of the new models and policies.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

State-Dependent Bandwidth Sharing Policies for Wireless Multirate Loss Networks

Moscholios

Logothetis

Boucouvalas

2017

IEEE Trans. Wireless Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several publications on this subject for CDMAbased networks exist in the literature ([2] - [7]). There, the proposed teletraffic models are mainly based on the Erlang Multi-rate Loss Model (EMLM), also known as KaufinanRoberts's recursion (K-R recursion) [8], [9].…”

Section: Introductionmentioning

confidence: 99%

The Wireless Engset Multi-Rate Loss Model for the Handoff traffic analysis in W-CDMA networks

Logothetis

2008

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

Self Cite

View full text Add to dashboard Cite

Abstraet-The call-level performance modelling and evaluation of 3G cellular networks is important for the proper network dimensioning and efficient use of the network resources, such as bandwidth and power. In the case of the Wideband Code Division Multiple Access (W-CDMA) cellular networks, this task is complicated, not only because of the so called soft blocking, the multiple access interference (MAl) and the heterogeneous traffic, but also due to the handoff process. In this paper, we propose a new teletraftic model for the call-level analysis of Handoff traffic in the uplink of W-CDMA networks where multiple services with finite number of traffic sources are accommodated. Parameters related to the soft blocking and MAl are included into the model. The proposed model is described by a Discrete Time MarkovChain. An efficient recurrent formula for the calculation of the system state probabilities is derived. Based on this formula, blocking probabilities of both New and Handoff calls are determined. The accuracy of the proposed model is evaluated through simulation and is found to be very satisfactory. Moreover, we show the necessity of distinguishing the Hondoff traffic from the New traffic, in respect of blocking probabilities.

show abstract

“…Vassilakis et al [18] investigate blocking probabilities in the uplink considering handoff. They also investigate the impact of elastic and streaming traffic on network capacity [19,20].…”

Section: Related Workmentioning

confidence: 99%

Automatic UMTS system resource dimensioning based on service traffic analysis

Garcia

González

Alonso

et al. 2012

J Wireless Com Network

View full text Add to dashboard Cite

Mobile network operators base their TDM network capacity dimensioning on Erlang B models. This approach was valid in legacy GSM networks. However, current Universal Mobile Telecommunications System networks deal with different resource consumption services such as voice, video call or data, and different limiting resources such as baseband processing capacity, transmission link capacity to the RNC, or spreading code tree. Operators need models to decide which resource must be upgraded, according to the demand of the services, in order to achieve expected overall service accessibility (i.e., the complementary of blocking probability). Network operation requires detecting when degradation is due to a lack of resources or to a hardware malfunction. Also, when operators need to prevent blockage in a high-capacity demanding event (for which they only have traffic predictions for each service) it is far from trivial to dimension resources. We have implemented a Kaufman Roberts approach to characterize the multiservice resource demand. Using real reported traffic Key Performance Indicators to calibrate the model, an estimated accessibility is obtained at a per-resource level and combined to find global estimated accessibility. The proposed model is intended to assist network operation, estimating individual resource shortage, differentiating congestion from hardware failures, and predicting the necessary resources to be deployed to tackle a high-capacity demanding event.

show abstract

On the Handoff-Call Blocking Probability Calculation in W-CDMA Cellular Networks

Cited by 14 publications

References 7 publications

State-Dependent Bandwidth Sharing Policies for Wireless Multirate Loss Networks

State-Dependent Bandwidth Sharing Policies for Wireless Multirate Loss Networks

The Wireless Engset Multi-Rate Loss Model for the Handoff traffic analysis in W-CDMA networks

Automatic UMTS system resource dimensioning based on service traffic analysis

Contact Info

Product

Resources

About