An Analytical Approach for Performance Analysis of Handoffs in the Next Generation Integrated Cellular Networks and WLANs

Kirsal, Yonal; Gemikonaklı, Eser; Ever, Enver; Mapp, Glenford; Gemikonakli, Orhan

doi:10.1109/icccn.2010.5560093

Cited by 17 publications

(7 citation statements)

References 15 publications

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“…For example, Ghosh et al [15] studied the single-cell scenario using an M/G/∞ queue. Kirsal et al [21] studied one WLAN cell overlaying one 3G cell, and a two-queue model was proposed accordingly. For more general multicell networks, queueing network models have been proposed and analyzed in [3,5,10,13].…”

Section: Mobility Modeling With Queueing Systemsmentioning

confidence: 99%

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Handoff Rate Analysis in Heterogeneous Wireless Networks with Poisson and Poisson Cluster Patterns

Bao

Liang

2015

Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing

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In multi-tier heterogeneous wireless networks (HWNs), both horizontal and vertical handoffs impact the signaling overhead and quality of service in the system. However, they are difficult to analyze due to the diverse and irregularly shaped cells in HWNs. The causes of this irregularity are three-fold:(1) small-cell base stations (BSs) tend to be deployed with a high level of spatial randomness; (2) BSs are likely to aggregate around highly populated geographical regions; (3) various transmission power levels in different tiers further create diverse cell sizes and shapes. In this work we present a new stochastic geometric analysis framework on user mobility in HWNs. Each tier of BSs is modeled as either a Poisson point process (PPP) or a Poisson cluster process (PCP), to capture their spatial randomness and their nonuniform and dependent aggregation in space. Flexible user association is also taken into consideration, such that various scales of cell sizes are accommodated. We derive analytical expressions for the rates of all handoff types experienced by an active user with arbitrary movement trajectory. We also demonstrate an example application of the proposed analysis, in optimizing the multi-tier BS selection by users, to balance the tradeoff between data rate and handoff overhead. Finally, extensive simulation is conducted to validate the correctness and usefulness of our analysis.

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Section: Mobility Modeling With Queueing Systemsmentioning

confidence: 99%

“…1(a) shows an example topology with two tiers of BSs. Previously developed analytical techniques in the literature, using queueing theory [3,5,10,13,15,21], regular grids [2,17,28], or homogeneous Poisson point processes (PPPs) [6,9,23], are insufficient to accurately model the complex handoff patterns in HWNs.…”

Section: Introductionmentioning

confidence: 99%

Handoff Rate Analysis in Heterogeneous Wireless Networks with Poisson and Poisson Cluster Patterns

Bao

Liang

2015

Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing

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“…Ghosh et al [22] studied the single-cell scenario using an M/G/∞ queue. Kirsal et al [28] studied one WLAN cell overlaying one 3G cell, and a two-queue model is proposed accordingly. For multicell scenarios, queueing network models have been employed in [6,9,15,19,35].…”

Section: Mobility Modeling Based On Queueing Systemsmentioning

confidence: 99%

Handoff rate analysis in heterogeneous cellular networks

Bao

Liang

2014

Proceedings of the 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Horizontal and vertical handoffs are important ramifications of user mobility in multi-tier heterogeneous cellular networks. They directly affect the signaling overhead and quality of calls in the system. However, they are difficult to analyze due to the irregularly shaped network topologies introduced by multiple tiers of cells. In this work, a stochastic geometric analysis framework on user mobility is proposed, to capture the spatial randomness and various scales of cell sizes in different tiers. We derive theoretical expressions for the rates of all handoff types experienced by an active user with arbitrary movement trajectory. Empirical study using real user mobility trace data and extensive simulation are conducted, demonstrating the correctness and usefulness of our analysis.

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“…Accordingly, the contribution of this paper is to make a comprehensive evaluation, in which both qualitative and quantitative analyses are fully taken into consideration, of the system performance based on analytical model proposed in [9]. By calculating QoS metrics such as call blocking probability and call dropping probability, we are able to evaluate the degree of improvement precisely compared with cellular-only network.…”

Section: Introductionmentioning

confidence: 99%

A Performance Evaluation of Cellular/WLAN Integrated Networks

Yang

Song

2011

2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming

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One of the key issues in cellular networks is the traffic load imbalance problem in the form of hot-spots caused by the different user mobility levels. A sound approach to address the problem currently is the integration of different heterogeneous networks, such as constructing a system via connecting cellular network and wireless local area network (WLAN) seamlessly. In general, the traffic volume is significantly heavier in hot-spots of cellular networks and a higher data transferring rate can be provided by introducing WLAN so as to raise the utilization of the channel and achieve a good balance between user satisfaction and the efficiency of network. In this paper, we analyze and evaluate the comprehensive performance of the systems both before and after the integration based upon an existing mathematical model, focusing on the quantitative analysis of changes in the performance of the system specially. In particular, the degree of improvement could be demonstrated precisely by calculation of several measure factors, i.e. call blocking probability and call dropping probability, and comparing with the ones calculated from a cellular-only network, and hence the efficiency and superiority of the integrated system is proved.

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An Analytical Approach for Performance Analysis of Handoffs in the Next Generation Integrated Cellular Networks and WLANs

Cited by 17 publications

References 15 publications

Handoff Rate Analysis in Heterogeneous Wireless Networks with Poisson and Poisson Cluster Patterns

Handoff Rate Analysis in Heterogeneous Wireless Networks with Poisson and Poisson Cluster Patterns

Handoff rate analysis in heterogeneous cellular networks

A Performance Evaluation of Cellular/WLAN Integrated Networks

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