A Probabilistic Mobility Prediction Based Resource Management Scheme for WiMAX Femtocells

Huang, Chenn‐Jung; Chen, Po‐Chiang; Guan, Chih-Tai; Liao, Jia-Jian; Lee, Yi-Wen; Wu, Yi-Chen; Chen, I-Fan; Hu, Kai‐Wen; Chen, Hongxin; Chen, You-Jia

doi:10.1109/icmtma.2010.810

Cited by 9 publications

(7 citation statements)

References 10 publications

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“…Classify the (N S -N I -N D ) small cells into (N P -N D ) groups according to the preference Equation (13). Each group shares one public PCI.…”

Section: Simulations and Discussionmentioning

confidence: 99%

“…In , the authors investigate spectral resource provisioning in the two‐tier networks by designing a bandwidth caching mechanism based on three types of mobility models for MUs. The user movement probability distribution is studied in to describe the possibility that MU stays in the femtocell/macrocell coverage or moves cross tiers, a movement prediction mechanism is designed to estimate the likely path of an MU's movement. It takes into account of the variation of MU's velocity and acceleration, where the assistance of Global Positioning System (GPS) or reasonably accurate positioning capability is required to obtain MUs' location.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic PCI allocation on avoiding handover confusion via cell status prediction in LTE heterogeneous small cell networks

Xiao

Ding

et al. 2016

Wireless Communications

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In this paper, we investigate the inbound handover confusion in the two-tier macrocell-small cell networks with help of mobility prediction. Instead of studying the mobile user's (MU) movement, we propose an analytical model for the activity status of small cells, which is to exploit the statistical property of inbound handover events that would happen in small cells. We design the cell status prediction algorithm to obtain the optimal prediction outcome of the next status for the small cells. On avoiding the handover confusion, we develop a dynamic allocation approach of physical cell identifier according to the prediction results. We design (i) the cell status prediction-based strategy, by which the dedicated PCIs will be assigned to the small cells with busy activity status while the other small cells share the public PCIs, and (ii) an integrated strategy in order to fully exploit the usage of PCI. We formulate the preference relation for small cells via reference signal received quality relation integrated with status prediction information using Bayesian average method. Simulation results reveal that the proposed algorithms yield higher accuracy than the conventional methods; in the meantime, handover confusions can be reduced significantly during the inbound handover.

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“…Classify the (N S -N I -N D ) small cells into (N P -N D ) groups according to the preference Equation (13). Each group shares one public PCI.…”

Section: Simulations and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic PCI allocation on avoiding handover confusion via cell status prediction in LTE heterogeneous small cell networks

Xiao

Ding

et al. 2016

Wireless Communications

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“…Similarly, different handover techniques for UMTS femtocell are also proposed in [34,35]. For WiMAX femtocells, [36] proposes a probabilistic mobility prediction based on global positioning system (GPS) to identify the mobility pattern of the macrocell and femtocell users. Although femtocell coverage is small, the random deployment and consequently dense scenarios will create intra-cell handover which should be tackled properly to overcome call drops during handovers.…”

Section: A Mobility Managementmentioning

confidence: 99%

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Kayastha

Niyato

2017

ECTI-CIT

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A new and emerging technology called femtocell brings significant improvement in terms of better indoor coverage and higher data rate. Able to be installed and maintained by individual user, femtocell provides a cost effective solution to mobile operators to achieve higher network capacity. However, interference due to two-tier network structure introduces many challenges for successful femtocell deployment. In this article, we summarize various interference and resource management techniques proposed in the context of femtocell. Specifically, we focus on interference avoidance techniques. First, the overview of femtocells, its architecture, and common issues are presented. Next, various interference avoidance techniques are reviewed. At the end, several important research directions are outlined.

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“…Previous research on femtocells largely focused on fixed and dynamic spectrum allocation techniques between macro and femto BSs, co-channel interference management and power allocation strategies of femtocells. Huang et al [9] give an analysis on decentralised spectrum allocation techniques to improve an area spectral efficiency (ASE), system capacity, outage probability and co-channel interference in hybrid macro-femto cellular networks. The work in [10] provides a performance analysis on co-channel spectrum allocation, outage probability and transmission capacity of two-tier femtocell networks.…”

Section: Introductionmentioning

confidence: 99%

Adaptive mode configuration in two‐tier macro‐femtocell networks

Khan

Choi

2014

IET Communications

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A Probabilistic Mobility Prediction Based Resource Management Scheme for WiMAX Femtocells

Cited by 9 publications

References 10 publications

Dynamic PCI allocation on avoiding handover confusion via cell status prediction in LTE heterogeneous small cell networks

Dynamic PCI allocation on avoiding handover confusion via cell status prediction in LTE heterogeneous small cell networks

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Adaptive mode configuration in two‐tier macro‐femtocell networks

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