On the impact of soft vertical handoff on optimal voice admission control in PCF-based WLANs loosely coupled to 3G networks

Ali, Racha Ben; Pierre, Samuel

doi:10.1109/twc.2008.071354

Cited by 22 publications

(18 citation statements)

References 17 publications

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“…Unlike the previously used exponential distribution [2], the realistic WLAN residence time has been shown to be more appropriately captured by heavy tailed Pareto distributions [24]. Thus, in [25], a hyperexponential probability density function (pdf) is proposed to model the same. Using the pdf in [25], the average probability F WLAN out of users moving out of the WLAN area within the next time slot of duration T can be evaluated.…”

Section: B Mobility Modelmentioning

confidence: 99%

“…Thus, in [25], a hyperexponential probability density function (pdf) is proposed to model the same. Using the pdf in [25], the average probability F WLAN out of users moving out of the WLAN area within the next time slot of duration T can be evaluated. Thus, from [25], we obtain Under equilibrium conditions for user mobility, the average number of users moving into the WLAN area will be equal to the average number of users moving out of the WLAN area.…”

Section: B Mobility Modelmentioning

confidence: 99%

“…Using the pdf in [25], the average probability F WLAN out of users moving out of the WLAN area within the next time slot of duration T can be evaluated. Thus, from [25], we obtain Under equilibrium conditions for user mobility, the average number of users moving into the WLAN area will be equal to the average number of users moving out of the WLAN area. Thus, the probability of a user moving into the WLAN area, denoted by F WLAN in , is obtained as…”

Section: B Mobility Modelmentioning

confidence: 99%

“…The maximum number of users that can connect to the WLAN and WCDMA network is considered to be bounded as in [25]. Let the maximum number of users that can connect to SP 1 (WLAN) and SP 2 (WCDMA) be n max 1 and n max 2 , respectively.…”

Section: Network-level Analysismentioning

confidence: 99%

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A Probabilistic Approach to Modeling Users' Network Selection in the Presence of Heterogeneous Wireless Networks

Kumar

Mallik

Schober

2014

IEEE Trans. Veh. Technol.

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In the presence of heterogeneous service provider (SP) networks such as wireless local area networks and cellular networks, users have to make a choice. The quality of service provided and the price charged by an SP play a crucial role in this decision process. In this paper, we study the network selection behavior of mobile users. A novel probabilistic framework is presented, with explicit analytical expressions for the transition and steady state network selection probabilities of the users. The proposed framework utilizes the price charged and the utility obtained at the SPs in obtaining the transition probabilities, even in the presence of multi-homing users. Furthermore, network-level parameters such as call blocking probabilities and throughput are obtained in terms of the steady state probabilities. Numerical results indicate that the prices and utilities at the heterogeneous SPs have considerable impact on the overall network performance.Index Terms-Cellular network, heterogeneous networks, transition probability, wireless local area network (WLAN).

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Section: B Mobility Modelmentioning

confidence: 99%

Section: B Mobility Modelmentioning

confidence: 99%

Section: B Mobility Modelmentioning

confidence: 99%

Section: Network-level Analysismentioning

confidence: 99%

See 2 more Smart Citations

A Probabilistic Approach to Modeling Users' Network Selection in the Presence of Heterogeneous Wireless Networks

Kumar

Mallik

Schober

2014

IEEE Trans. Veh. Technol.

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“…The level of integration of the two access networks is supposed to allow vertical handovers also for voice sessions without excessive service degradation or interruption; details on architectural solutions and signalling issues, although of primary importance, are not here discussed for the seek of conciseness, and the interested reader may refer, for example, to [1], [5] or [6]. All terminals are supposed dual mode (i.e.…”

Section: Scenario and Assumptionsmentioning

confidence: 99%

WLAN hot spots to increase UMTS capacity

Bazzi

2010

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

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The seamless integration of heterogeneous wireless access networks is currently one of the issues of major interest in the field of telecommunication systems. In an early future technologies like UMTS, WLAN and WiMAX will give broadband access to users that perform their voice/video calls or data sessions without knowledge of the specific technology their terminals are using, following the paradigm of always best connected. In this scenario, UMTS and WLAN integration has a primary role, due to the coverage of cellular systems and the low cost of the latter technology. This work, in particular, focuses on the gain in terms of capacity that the deployment of WLAN access points allows in an area fully covered by an UMTS network, assuming that the radio resources are not managed by complex multi radio resource management algorithms. For this scope a real scenario is accurately simulated and the end users perception is evaluated taking care of all aspects related to each level of the protocol stack, with particular attention to radio propagation.

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Computational complexity reduction algorithms for Markov decision process based vertical handoff in mobile networks

Gillani

Nasir

2021

Int J Communication

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Summary Vertical handoff is a major concern in the operation of mobile connections. Multiple wireless networks collate to provide smooth and quality service to the users over mobile connections. This paper formulates a Markov decision process for handoff decisions with a sample space that includes a union of parameters that are important for making a handoff decision. The major contribution of this paper is to propose three different yet closely related algorithms for reducing the computational complexity of the original problem. In particular, we propose a feature‐wise assessment algorithm, a network‐wise assessment algorithm, and a hybrid approach for computational complexity reduction. Discussed algorithms give pseudo‐optimal solutions with a significant reduction in computational complexity. Results indicate that different complexity reduction algorithms perform best under different circumstances. This provides a guideline for the selection of complexity reduction algorithms based on real scenarios.

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On the impact of soft vertical handoff on optimal voice admission control in PCF-based WLANs loosely coupled to 3G networks

Cited by 22 publications

References 17 publications

A Probabilistic Approach to Modeling Users' Network Selection in the Presence of Heterogeneous Wireless Networks

A Probabilistic Approach to Modeling Users' Network Selection in the Presence of Heterogeneous Wireless Networks

WLAN hot spots to increase UMTS capacity

Computational complexity reduction algorithms for Markov decision process based vertical handoff in mobile networks

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