The study of handoff prediction schemes for resource reservation in mobile multimedia wireless networks

Lu, Li-Liann; Wu, Jean-Lien C.; Chen, Wei-Yeh

doi:10.1002/dac.667

Cited by 11 publications

(4 citation statements)

References 13 publications

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“…The same authors proposed a new location management scheme for the mobile terminals (MTs) roaming across multi-tier PCS systems with different technologies or protocols [15]. A scheme for resource reservation and call admission control algorithm have been proposed in [16]. In this work the authors make use of hand-off prediction to deploy bandwidth resources to the mobile users among the visited cells.…”

Section: Related Workmentioning

confidence: 95%

Mobility prediction and resource reservation in cellular networks with distributed Markov chains

Fazio

Marano

2012

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)

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In recent years, mobile hosts desire to benefit a good level of satisfaction for the received services in wireless networks, with adequate quality of service guarantees. In this work the attention is focused on wireless services in cellular networks, where the hand-over effects need to be mitigated, through an appropriate reservation policy. Passive resources are used to ensure service continuity when mobile hosts are moving among different coverage cells. The system is modeled through a distributed set of Hidden Markov Chains and the related theory is used to design a mobility predictor (in terms of future probably visited cells), as the main component of the proposed idea, that does not depend on the considered transmission technology (GSM, UMTS, WLAN, etc.), mobility model or vehicular scenario (urban, suburban, etc.). MRSVP has been used in order to realize the active/passive bandwidth reservation in the considered network topology and a severe simulation campaign has been led-out in order to appreciate the robustness of the reservation scheme.

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Section: Related Workmentioning

confidence: 95%

Mobility prediction and resource reservation in cellular networks with distributed Markov chains

Fazio

Marano

2012

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…Mobility and resource management are critical for providing QoS guarantees in wireless networks, so it is very important to accurately describe mobility patterns of MHs in wireless cells, especially when a prediction approach is needed. In Lu (2004) the Mobility-Dependent Predictive Resource Reservation (MDPRR) scheme is proposed, that is able to provide flexible usage of limited resource in mobile multimedia wireless networks. Each cell is divided into non-hand-off, pre-hand-off and hand-off zones, so that bandwidth is reserved in the target/sub-target cell as mobile stations move into the pre-hand-off zone.…”

Section: Literature Overviewmentioning

confidence: 99%

Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression

Fazio

Tropea

Vozňák

et al. 2016

International Journal of Interdisciplinary Telecommunications and Networking

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The employment of an appropriate Bandwidth Management Scheme (BMS) is needed in wireless networking, given that the main desire of end-users is to take advantage of satisfactory services, in terms of Quality of Service (QoS), especially when a particular charge is paid to meet the requirement. In this paper the authors are interested in investigating how the continuity of services can be guaranteed in QoS networks, when users move from a cell to another one, under an infrastructure cellular coverage. The only way to face this issue is represented by the employment of in-advance bandwidth reservations, although it leads the system to waste bandwidth resources, since they are not used until the mobile host enters the coverage cell where the passive request has been made. A new scheme for predicting user movements is proposed, taking the advantage of the dynamic programming approach, that is able to reduce the number of possible roads to be considered and thereby increasing/decreasing the accuracy/redundancy of the proposed model. Several simulation runs have been carried out in order to assess the effectiveness of the proposed idea.

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“…Not only this process can cause latency issues, due to the time required to perform this procedure (preparation and cancellation phases), but also a resource wastage can occur, in case a HO is not performed. In order to overcome these problems, predictive HO schemes have been proposed in the literature [4]- [8].…”

Section: Introductionmentioning

confidence: 99%

3D Transition Matrix Solution for a Path Dependency Problem of Markov Chains-Based Prediction in Cellular Networks

Öztürk

Klaine

Imran

2017

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)

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Handover (HO) management is one of the critical challenges in current and future mobile communication systems due to new technologies being deployed at a network level, such as small and femtocells. Because of the smaller sizes of cells, users are expected to perform more frequent HOs, which can increase signaling costs and also decrease user's performance, if a HO is performed poorly. In order to address this issue, predictive HO techniques, such as Markov chains (MC), have been introduced in the literature due to their simplicity and generality. This technique, however, experiences a path dependency problem, specially when a user performs a HO to the same cell, also known as a re-visit. In this paper, the path dependency problem of this kind of predictors is tackled by introducing a new 3D transition matrix, which has an additional dimension representing the orders of HOs, instead of a conventional 2D one. Results show that the proposed algorithm outperforms the classical MC based predictors both in terms of accuracy and HO cost when re-visits are considered.

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The study of handoff prediction schemes for resource reservation in mobile multimedia wireless networks

Cited by 11 publications

References 13 publications

Mobility prediction and resource reservation in cellular networks with distributed Markov chains

Mobility prediction and resource reservation in cellular networks with distributed Markov chains

Mobility Analysis for Passive Reservations in Vehicular Cellular Networks Based on Dynamic Programming and Roads Compression

3D Transition Matrix Solution for a Path Dependency Problem of Markov Chains-Based Prediction in Cellular Networks

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