Evaluation of Vertical Handoff Decision Algorightms Based on MADM Methods for Heterogeneous Wireless Networks

Stevens-Navarro, Enrique; Martínez-Morales, José D.; Pineda-Rico, Ulises

doi:10.22201/icat.16656423.2012.10.4.372

Cited by 34 publications

(13 citation statements)

References 19 publications

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“…The alternative with the highest rank is selected as the best one as given in (33). In VIKOR [33], the alternatives are ranked according to their closeness to the ideal positive solution (ideal solution is the solution that has the best values for all attributes compared to the other solutions, i.e., alternatives). Fig.3 depicts the computational complexity of the proposed GRA-HO method compared to SAW and VIKOR methods.…”

Section: Performance and Results Analysismentioning

confidence: 99%

GRA‐based handover for dense small cells heterogeneous networks

2019

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Ultra-dense small cell (SC) deployment in future 5G network makes the architecture of the network as heterogeneous networks (HetNets). This is a good solution to boost the capacity of the network and extend its coverage. However, the dense SCs deployment has brought new challenges to the network including interference, frequent unnecessary handovers and handover failures. Therefore, user equipment (UE) will suffer from a degraded quality of service (QoS). In this paper, we propose a Grey Rational Analysis based handover method (GRA-HO) in dense SCs HetNet. The proposed method combines the Analytical Hierarchy Process (AHP) technique to obtain the weight of the handover metrics and the GRA method to rank the available cells for the best handover target. The performance of the proposed method is evaluated and compared with the traditional Multiple Attribute Decision Making (MADM) method including Simple Additive Weighting (SAW) and VIKOR methods. Results show that the GRA-HO method has outperformed the existing methods in terms of reducing the number of frequent handovers and link failures, in addition to enhancing the energy efficiency.

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Section: Performance and Results Analysismentioning

confidence: 99%

GRA‐based handover for dense small cells heterogeneous networks

2019

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“…The MCDM method has been the most widely used for SH for research purposes [26]- [30]. The problems based on MCDM are diverse but share common characteristics, such as, choosing alternatives, multiple DC that describe the alternatives and a set of weights that represent the relative importance for each DC [31]. According to this, MCDM is a mathematical tool adapted to model the SH process.…”

Section: Related Workmentioning

confidence: 99%

“…Various MCDM methods have been proposed in the literature about SH, such as, SAW [32], [33], TOPSIS [32], [34], MEW [35], [36], GRA [37], [38], ELECTRE [39], Weighted Markov Chain (WMC) [40] and VIKOR [37], [41]. Authors on [31] present an extensive comparative study about the seven MCDM methods previously mentioned. Through simulations in Matlab using random data, they evaluate each method´s performance based on three different applications,: voice, data and cost restrictions.…”

Section: Related Workmentioning

confidence: 99%

Multivariable adaptive handoff spectral model for cognitive radio networks

Hernández¹,

Martínez²,

Rodríguez-Colina³

2017

ces

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This work presents a multivariable adaptive spectrum handoff model for cognitive radio networks that allows improving secondary user's spectrum mobility from the intelligent selection of spectrum opportunities called MAPMFF. Four algorithms for decision making during a spectrum handoff, were developed with different approaches, fuzzy, feedback statistics, predictive and multichannel, which make up the MAPMFF proposed model. The best spectrum opportunities were selected dynamically based on the following decision criteria, the probability of channel availability, estimated time of channel availability, Signal-to-interference-plusnoise ratio, and bandwidth, which were determined through the modified Delphi method and corresponding weights were calculated through the developed FFAHP algorithm. In order to assess the performance of the developed algorithms, a comparative analysis was made between these algorithms and the most relevant spectrum handoff algorithms in the current literature. Unlike other related papers, benchmarking was validated through a trace of real spectrum occupation data captured in the frequency GSM band, which characterizes the real behavior of primary users. In the validation phase, four assessment scenarios were proposed to 40 Cesar Hernández et al. consider, two kind of applications, real-time and best-effort; two traffic case scenarios, high and low and, ten evaluation metrics, number of handoff, number of failed handoff, bandwidth, delay, throughput, fairness, number of handoff without interference, number of handoff with interference, number of perfect handoff and number of anticipated handoff. The main contribution of this work is the development of an adaptive spectral model (MAPMFF) with excellent performance according to the results of validation with real occupation spectral data in 4 different scenarios, with four types of traffic, and under ten evaluation metrics. Consequently, the impact reached by the MAPMFF model is the improvement in the quality of service parameters for mobile communications. The proposed multi-model selects the best spectrum handoff algorithm, among the four models developed in this work. This is according to the spectrum characteristics and requirements of the secondary user, providing an efficient and effective process of frequency channel selection. Then, the MAPMFF model behaves as an expert system when inferring from data known from a wireless application and spectral occupation the best spectral handoff algorithm. This is in order to analyze and decide which spectral opportunity is the appropriated to the user requirements by an inference engine. The results of the comparative analysis with other spectrum handoff algorithms show that the MAPMFF model provides the best performance in the ten evaluation metrics for the four proposed scenarios. According to the obtained results, the proposed model has a low average handoff rate, a high percentage of average throughput and average bandwidth, and a low level of average delay.

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“…El método VIKOR asume que cada alternativa es evaluada de acuerdo con cada función de criterio, y la clasificación puede ser desarrollada a través de la comparación de las medidas que estén más cercanas a la alternativa ideal (Tanino, Tanaka, & Inuiguchi, 2003). El algoritmo VIKOR sigue los siguientes pasos (E. Stevens-Navarro et al, 2013):…”

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Modelo AHP-VIKOR para handoff espectral en redes de radio cognitiva

Hernández

Páez

Giral

2015

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En este artículo se presenta la propuesta de un algoritmo híbrido para la asignación de espectro en redes de radio cognitiva basado en los algoritmos Analytical Hierarchical Process (AHP) y Multi-Criteria Optimization and Compromise Solution (VIKOR), con el objetivo de mejorar el desempeño de la movilidad espectral de los usuarios secundarios en redes de radio cognitiva.Para evaluar el nivel de desempeño del algoritmo propuesto se realiza un análisis comparativo entre este, el Grey Relational Analysis (GRA) y una asignación de espectro aleatoria (Random). Los dos primeros trabajan con los mismos criterios de decisión: probabilidad de disponibilidad del canal, tiempo estimado de disponibilidad del canal, relación señal a ruido más interferencia y ancho de banda. A diferencia de los trabajos relacionados, la evaluación comparativa se validó a través de una traza de datos reales de ocupación espectral capturados en la banda de frecuencia GSM, que modela el comportamiento real de los usuarios licenciados. En la evaluación de desempeño se utilizaron cinco métricas de evaluación: número promedio acumulado de handoff fallidos, número promedio acumulado de handoff realizados, ancho de banda promedio, retardo promedio acumulado y throughput promedio acumulado.Los resultados del análisis comparativo con los otros dos algoritmos muestran que el algoritmo de handoff AHP-VIKOR propuesto provee el mejor desempeño en la movilidad espectral.

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Evaluation of Vertical Handoff Decision Algorightms Based on MADM Methods for Heterogeneous Wireless Networks

Cited by 34 publications

References 19 publications

GRA‐based handover for dense small cells heterogeneous networks

GRA‐based handover for dense small cells heterogeneous networks

Multivariable adaptive handoff spectral model for cognitive radio networks

Modelo AHP-VIKOR para handoff espectral en redes de radio cognitiva

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