Optimized network selection during handover using analytic hierarchy process in 4G network

Goyal, Tanu; Kaushal, Sakshi

doi:10.1109/icacca.2016.7578873

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…The model described in the previous sections has been simulated on a computer using Matlab software package. The parameters are shown in Table (4). These are typical values that are widely used in the published literature.…”

Section: Results and Analysismentioning

confidence: 99%

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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: Results and Analysismentioning

confidence: 99%

“…In [4], an innovative method is used to select the optimal network from available networks that achieves the better QoS performance. The aggregation of multiple criteria for calculation of overall ranking of networks is obtained by an Analytical Hierarchy Process (AHP) to resolve the issue of inconsistency.…”

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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“…On the other hand, both energy saving and quality of service (QoS) parameters have been committed as a metric for the handover of application traffic [25,26]. The concept of best performance based on avoiding low rate links and favorite best rate link is given in [27,28]. The method introduced by scheduling application data based on the optimization technique has the advantage of a load balance of application traffic as given in [29].…”

Section: Related Workmentioning

confidence: 99%

An Optimized Load Balance Solution for Multi-homed Host in Heterogeneous Wireless Networks

Naeem

ElAttar

Aboul-Dahab

2019

Sensors

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The imminent wireless technologies are demanding fusion of several networks with diverse technologies. A convenient user device for such an environment is the multihomed host, which is capable of making use of simultaneous multiple connections of heterogeneous networks and smartly distributing/receiving data among them. The aim of this work is to develop a mechanism for assessing the multihoming concept and to propose a system model for increasing its applicability. The proposed model provided a novel user-centric scheme for multihoming for multi-radio access technologies (multi-RAT). It is considered an evolution of traffic offloading for gaining more capacity, higher data rates, and real-time services. This work assumes data classifications, evaluates and ranks the available connections, and utilizes the application data in an unequal load balance scheme. This is achieved by analyzing the performance of three of the most widely used alternative-choice for multiple attributes decision making (MADM) methods. The analytical hierarchy process (AHP), along with a utility equation, is applied to the system model for unequal load balance solution. The proposed model is targeting an energy efficient mechanism which satisfies application needs. Moreover, it reveals an efficient transmission mechanism for a better quality of service, traffic management, and availability solutions. The simulation results show that the proposed system surpassed its former counterparts.

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“…In Ref. [12], the aggregation of multiple criteria for calculation of overall ranking of networks is obtained by AHP to resolve the issue of inconsistency.…”

Section: Related Workmentioning

confidence: 99%