Predictive channel reservation for handoff prioritization in wireless cellular networks

Ye, Zhenqiang; Law, Lap Kong; Krishnamurthy, Srikanth V.; Xu, Zhong; Dhirakaosal, Suvidhean; Tripathi, Satish K.; Molle, Mart L.

doi:10.1016/j.comnet.2006.06.007

Cited by 17 publications

(18 citation statements)

References 18 publications

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“…A novel channel PR scheme in wireless cellular networks based on GPS measurements have been proposed at [10]. Here, the aim of PR scheme is to reserve channel for a HO call from macrocell to femtocell.…”

Section: Pre-reservation (Pr) Schemementioning

confidence: 99%

“…Our work mainly exploits the findings on [9] and [10]. More specifically, due to the limited bandwidth available at each femtocell, it is not spectrally efficient to use a classic guard channel scheme in order to prioritize handover calls over new calls.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the same idea in [7], the authors in [8] proposed a CAC depends on different parameters such as, residence time, user types, received signal strength (RSS) level, signal to interference ratio (SIR) level and the capacity that one FAP can support. On particular relevance to our work are studies covered by [9] and [10]. In [9], an efficient resource allocation in hierarchical macrocell and femtocell networks is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical results prove that an appropriate spectrum splitting technique significantly achieves to increase service availability in the macrocell with femtocell QoS guarantee according to the accommodated indoor traffic in femtocells. Furthermore, a pre-reservation (PR) area scheme was provided for handover prioritization in wireless cellular networks [10]. According to the distance of the mobile user from its serving base station, global positioning system (GPS) measurements and cell boundary, the base station is able to determine the area in which the mobile user can make channel reservations.…”

Section: Introductionmentioning

confidence: 99%

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Measuring QoS Metrics in Femto/Macro Cellular Networks with CAC Policy

El-atty

Gharsseldien

2015

Int J Wireless Inf Networks

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Due to the growing importance of deploying femtocell technology in the current mobile network operators, data traffic processing and handover (HO) management in such networks are challenging issues. Consequently, due to the mobility of femto users between indoor and outdoor environments, the HO traffic interplay between macrocell and femtocells should be addressed, by determining accurate HO rate and actual channel holding time. Classical methods for data traffic process and HO management cannot directly apply in such network. In this paper, we propose an adaptive call admission control (CAC) policy based on a pre-reservation (PR) area as well as we employ the concept of adaptive reserved channel to accomplish quality of service (QoS) requirements for handover traffic requests. A teletraffic model based on queuing theory and Markov chains will allow us to evaluate and quantify QoS metrics performance of the proposed scheme. The numerical results reveal that the benefits of femtocell technology integration with the current macrocellular mobile networks, especially in reducing the traffic loads of macrocell in terms of minimizing blocking probability.

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Section: Pre-reservation (Pr) Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring QoS Metrics in Femto/Macro Cellular Networks with CAC Policy

El-atty

Gharsseldien

2015

Int J Wireless Inf Networks

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“…Many schemes proposed in the literature adjust the number of guard channels as a function of the predicted occurrence of handovers. See for example [2,[8][9][10] and references therein. Most of these studies propose a prediction system and a companion admission control (AC) scheme that makes use of the information provided by the former in a heuristic way.…”

Section: Introductionmentioning

confidence: 99%

Robustness of optimal channel reservation using handover prediction in multiservice wireless networks

2012

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, JM.; Pla, V. (2012). Robustness of optimal channel reservation using handover prediction in multiservice wireless networks. Wireless Networks. 18(6):621-633. doi:10.1007/s11276-012-0423-6. Wireless Networks manuscript No.(will be inserted by the editor) Robustness of optimal channel reservation using handover prediction in multiservice wireless networks Jorge Martinez-Bauset · Jose Manuel Gimenez-Guzman · Vicent Pla 2011Abstract The aim of our study is to obtain theoretical limits for the gain that can be expected when using handover prediction and to determine the sensitivity of the system performance against different parameters. We apply an averagereward reinforcement learning (RL) approach based on afterstates to the design of optimal admission control policies in mobile multimedia cellular networks where predictive information related to the occurrence of future handovers is available.We consider a type of predictor that labels active mobile terminals in the cell neighborhood a fixed amount of time before handovers are predicted to occur, which we call the anticipation time. The admission controller exploits this information to reserve resources efficiently. We show that there exists an optimum value for the anticipation time at which the highest performance gain is obtained. Although the optimum anticipation time depends on system parameters, we find that its value changes very little when the system parameters vary within a reasonable range. We also find that, in terms of system performance, deploying prediction is always advantageous when compared to a system without prediction, even when the system parameters are estimated with poor precision.

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Heuristic RAT selection policy to minimize call blocking probability in next generation wireless networks

Falowo

Chan

2009

Wireless Communications

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In next generation wireless network (NGWN) where multiple radio access technologies (RAT) co‐exist, a joint call admission control (JCAC) algorithm is needed to make a RAT selection decision for each arriving call. RAT selection policy has a significant effect on the overall new call blocking probability in the network. We propose a heuristic RAT selection policy to minimize new call blocking probability in NGWN. The proposed JCAC scheme measures the arrival rate of each class of calls in the heterogeneous wireless network. Based of the measured values of the arrival rates and using linear programming technique, the JCAC scheme determines the RAT selection policy that minimizes overall call blocking probability in the heterogeneous wireless network. Using Markov decision process, we develop an analytical model for the JCAC scheme, and derive new call blocking probability, handoff call dropping probability (HCDP), and call incompletion probability (CIP). Performance of the proposed scheme is compared with the performance of other JCAC scheme. Simulation results show that the proposed scheme reduces new call blocking probability, HCDP, and CIP in the heterogeneous wireless network. Copyright © 2009 John Wiley & Sons, Ltd.

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Predictive channel reservation for handoff prioritization in wireless cellular networks

Cited by 17 publications

References 18 publications

Measuring QoS Metrics in Femto/Macro Cellular Networks with CAC Policy

Measuring QoS Metrics in Femto/Macro Cellular Networks with CAC Policy

Robustness of optimal channel reservation using handover prediction in multiservice wireless networks

Heuristic RAT selection policy to minimize call blocking probability in next generation wireless networks

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