A vertical Media-Independent Handover decision algorithm across Wi-Fi&amp;#x2122; and WiMAX&amp;#x2122; networks

Yang, Shun-Fang; Wu, Jung-Shyr; Huang, Hsu-Hung

doi:10.1109/wocn.2008.4542508

Cited by 23 publications

(5 citation statements)

References 8 publications

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“…In [5], the authors proposed a handover decision algorithm using Media Independent Handover (MIH) mechanism services in Wi-Fi and WiMAX networks with QoS provision. The proposed algorithm not only uses RSS values as trigger and threshold, it also considers more additional important factors: price, bandwidth, delay, error rate and jitter.…”

Section: Background and Related Workmentioning

confidence: 99%

A New Vertical Handover Prediction Method for Heterogeneous Wireless Networks

Ibrahim¹,

Abbas²

2022

kuej

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Long Term Evolution (LTE) is the fourth generation (4G) cellular network technology that provides improved performance that related to data rate, coverage and capacity compared to earlier cellular systems. The addition of many small cells in a heterogeneous network configuration provides a means to enhance capacity through extreme frequency reuse. The heterogeneous environment of different network technologies can provide high data rate and enhance multimedia services, but it is challenging to provide optimized handover (HO). In this paper, a new method is proposed to select the optimal network from available networks to which a UE may be handed over to achieve better QoS performance. The aggregation of multiple criteria for calculation of overall ranking of networks is obtained by Analytical Hierarchy Process (AHP) [1] and is combined with the history of previously visited cells and regression analysis of the Layer 1 (L1) and Layer 3 (L3) filtered Received Signal Strength (RSS) data for prediction of future values. The AHP is used to calculate the weights for the system attributes and to rank the available networks based on multiple criteria Multiple Attribute Decision Making (MADM). The sequence of visited cells is used in target network selection as it reduces frequent handover. The sequence of visited cells would be modeled as a Markov Chain. To assess RSS, beside L1, L3 filtering RSS prediction and smoothing is used to predict future signal samples to hasten the process of HO. RSS forecasting is used to predict handover necessity so as to reduce the handover delay. The results show that the number of handovers is reduced by up to 50% compared to the conventional AHP. The results also show that the threshold crossing rate and average duration of fades are reduced by 47% compared with the AHP. Handover delay is also reduced by up to 40 ms due to RSS forecasting.

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Section: Background and Related Workmentioning

confidence: 99%

A New Vertical Handover Prediction Method for Heterogeneous Wireless Networks

Ibrahim¹,

Abbas²

2022

kuej

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“…The interworking architecture is shown in Figure 8. In [18], authors introduce a handover decision algorithm by combining MIH QoS model with Multiple Attribute Decision Making (MADM) mechanism to provide seamless mobility between WLAN and WiMAX networks. The proposed model defines QoS parameters mapping among heterogeneous networks, and the service primitives defined in MIH constitute a seamless handover process.…”

Section: Wlan/wimax Integrated Network Solutionsmentioning

confidence: 99%

“…Service type, available bandwidth, power consumption, cost, throughput and delay [18] MIH based handover decision algorithm n/a QoS mapping Dynamic QoS information: Price, bandwidth, delay, PER(packet error rate),jitter [19] MIH handover decision approach Tight coupling WLAN-UMTS-WiMAX…”

Section: Tight Coupling Ho Decisionmentioning

confidence: 99%

An Overview Of Context-Aware Vertical Handover Schemes In Heterogeneous Networks

Alhazmi¹,

Akkari²

2011

IJCSES

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“…Weights can either be input from user directly [12] or as relative important values (AHP) of QoS parameters. AHP for weight calculation [1,2,15] and ranking is indeed a trusted mechanism but it can prove to be less useful when incorporated in handover scenarios. A mobile user may not have enough knowledge and experience to relate meaningful QoS parameters like jitter, packet error rate, bit error rate, etc in the way they should be related.…”

Section: Assignment Of Weights Score Function and Network Selectionmentioning

confidence: 99%

“…Network selection among candidates, based on end-to-end QoS parameters [1,13,14,15] like achieved bandwidth, delay, jitter, throughput, etc., requires a transport connection on each interface in order to get access network's QoS parameters. The parameters are then calculated using multi-criteria input function called Score function.…”

Section: Assignment Of Weights Score Function and Network Selectionmentioning

confidence: 99%

A Cross-Layer User Centric Vertical Handover Decision Approach Based on MIH Local Triggers

Rehan¹,

Yousaf²,

Qayyum³

et al. 2009

Wireless and Mobile Networking

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Abstract. Vertical handover decision algorithm that is based on user preferences and coupled with Media Independent Handover (MIH) local triggers have not been explored much in the literature. We have developed a comprehensive cross-layer solution, called Vertical Handover Decision (VHOD) approach, which consists of three parts viz. mechanism for collecting and storing user preferences, Vertical Handover Decision (VHOD) algorithm and the MIH Function (MIHF). MIHF triggers the VHOD algorithm which operates on user preferences to issue handover commands to mobility management protocol. VHOD algorithm is an MIH User and therefore needs to subscribe events and configure thresholds for receiving triggers from MIHF. In this regard, we have performed experiments in WLAN to suggest thresholds for Link Going Down trigger. We have also critically evaluated the handover decision process, proposed Just-in-time interface activation technique, compared our proposed approach with prominent user centric approaches and analyzed our approach from different aspects.

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A vertical Media-Independent Handover decision algorithm across Wi-Fi™ and WiMAX™ networks

Cited by 23 publications

References 8 publications

A New Vertical Handover Prediction Method for Heterogeneous Wireless Networks

A New Vertical Handover Prediction Method for Heterogeneous Wireless Networks

An Overview Of Context-Aware Vertical Handover Schemes In Heterogeneous Networks

A Cross-Layer User Centric Vertical Handover Decision Approach Based on MIH Local Triggers

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