2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2014
DOI: 10.1109/camad.2014.7033199
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Handoff modeling in cellular CDMA with finite sources and state-dependent bandwidth requirements

Abstract: It is envisioned that small cells are going to play an important role in future cellular networks. Due to limited coverage areas of small cells and increased user mobility, a proper analysis and evaluation of handoff traffic is of major importance. In this paper, we propose a novel teletraffic model for the analysis of handoff traffic in cellular CDMA networks. When the cell load is above a predefined threshold, we allow the handoff calls to reduce their bandwidth requirements in order to avoid blocking. Our m… Show more

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Cited by 5 publications
(7 citation statements)
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References 18 publications
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“…Compared to our previous paper [30], the contribution of this work is as follows: a) we enhance the mathematical model with elastic and adaptive traffic types; b) we introduce different QoS levels for each traffic type; c) we propose a practical and easy implementable algorithm for the determination of system state probabilities; d) in addition to CBP, we derive expressions for other important performance metrics, such as RRU and service throughput; e) having benefited by more available space, we present a more detailed description of the mathematical model, providing more diagrams and examples, and much more detailed calculations; f) we provide the applicability framework for our model using C-RAN and SON technologies; g) the evaluation section has been substantially extended; h) we provide both analytical and simulative comparison of our model with other existing models in the literature.…”
Section: The Proposed Model Is Called Wireless Handover Connection-dementioning
confidence: 68%
See 1 more Smart Citation
“…Compared to our previous paper [30], the contribution of this work is as follows: a) we enhance the mathematical model with elastic and adaptive traffic types; b) we introduce different QoS levels for each traffic type; c) we propose a practical and easy implementable algorithm for the determination of system state probabilities; d) in addition to CBP, we derive expressions for other important performance metrics, such as RRU and service throughput; e) having benefited by more available space, we present a more detailed description of the mathematical model, providing more diagrams and examples, and much more detailed calculations; f) we provide the applicability framework for our model using C-RAN and SON technologies; g) the evaluation section has been substantially extended; h) we provide both analytical and simulative comparison of our model with other existing models in the literature.…”
Section: The Proposed Model Is Called Wireless Handover Connection-dementioning
confidence: 68%
“…Taking into account the aforementioned peculiarities of cellular CDMA modelling, the EMLM has been enhanced in [29] (referred to as the W-EMLM) considering only the fixed traffic generated by new calls. Later, the model of [29] was extended to take into account handover traffic as well [30].…”
Section: Literature Review and Model Overviewmentioning
confidence: 99%
“…That is, one or more calls of an arriving batch are discarded, if the available cell resources are not enough. Another important extension is made by Vassilakis et al [18], in order to incorporate elastic traffic and thus permitting handoff calls to reduce their bandwidth requirements, so that blocking is avoided when the cell load is above a predefined threshold. Hanczewski et al [19] concentrated on soft handoff, and modelled the so-called active set of cells that participate in call handoff (having the best signal-strength-to-noise ratio).…”
Section: Relevant Workmentioning
confidence: 98%
“…We also briefly review some analytical models proposed for calculating cellular network capacity and for performing RRM [16], [17], [18], [19]. These models are based on the KaufmanRobers (K-R) algorithm [20], [21] to achieve time-and spaceefficient calculations.…”
Section: Relevant Workmentioning
confidence: 99%
“…Kaufman-Roberts formula ( [18,28]) has led to various extensions of the EMLM either in wired (e.g., [10,12,13,15,16,19,21,26,31,33,34,36,39]) or wireless (e.g., [5,7,17,22,27,35,37,38,44,47]), satellite (e.g., [45,46]) and optical networks (e.g., [3,4,6,[41][42][43]).…”
Section: Moscholiosmentioning
confidence: 99%