A new handoff management system for heterogeneous wireless access networks

Matinkhah, S. Mojtaba; Khorsandi, Siavash; Yarahmadian, Shantia

doi:10.1002/dac.2393

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…For network attributes, preference AHP and standard deviation method are used. If user is free to give its choices, then AHP is used while in case it is not possible to consider user's preferences, then network itself calculates preference weight using standard deviation method. AHP is based on Satty's scale while standard deviation method as explained in Zhang and Zhu is based on the principle of degree of variation of attribute range; ie, standard deviation is directly proportion to variation of attributes range.…”

Section: Simulation Scenario and Results Discussionmentioning

confidence: 99%

“…Also, in the study of Verma and Singh, the same selection concept using AHP and GRA is explained. The selection of RAT using AHP by decomposing the selection problem into hierarchy is explained in the study of Mojtaba Matinkhah et al In the previous studies, the selection of network via AHP and TOPSIS to get the weighted score of network is given. The main problem with TOPSIS is that it suffers from ranking abnormality problem which means if a least ranked network is removed from the selection list, the remaining order gets shuffled.…”

Section: Related Workmentioning

confidence: 99%

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RAT selection for a low battery mobile device for future 5G networks

Adiwal

Singh

2019

Int J Communication

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Summary The growth of wireless communication toward fifth generation will lead to the existence of number of access technologies to provide seamless connectivity and form heterogeneous network environment. Earlier, there was single access technology to run applications, but 5G will have heterogeneous network environment and provide separate network for each application. As compared with 4G, 5G will provide increase in data rate, decrease in delay, increase in quality of service, and so on because of its various enabling technologies. Therefore, for each application, selection of best access network via its enabling technology is an important task. This selection is done either at user terminal side or at network operator side by combining preferences for network attributes and network parameters. In this paper, to enjoy 5G, selection is done in a heterogeneous networks environment for enabling technologies like device‐to‐device communication, spectrum sharing, enhancing quality of experience, energy efficiency, and so on. This selection is done via optimization techniques for a fixed duration video clip that is to be transmitted from a device running low in battery. The selection environment composed of UMTS, WLAN1, and WLAN2 as available networks. The simulation results show that the network selected for each enabling technology supports various features of 5G. Also, error analysis of selection results is done using confidence interval estimate at 90%, 92%, and 95% confidence level. From results obtained, it is seen that different optimization techniques used to access network for different enabling technologies (providing 5G features) prove to be useful for future 5G network.

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Section: Simulation Scenario and Results Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

RAT selection for a low battery mobile device for future 5G networks

Adiwal

Singh

2019

Int J Communication

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Analysis and performance evaluation of an efficient handover algorithm for cognitive HetNets

Habibzadeh

Moghaddam

Razavizadeh

et al. 2017

Int J Communication

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Cognitive heterogeneous network is a promising technology to meet the requirements of future wireless networks in cost and energy efficiency. By using vertical handover (VHO) between different network tiers, such as macro and femto, the traffic congestion can be potentially alleviated, and the spectral efficiency is significantly increased. However, performing VHO for a cognitive handover user (CHU) and simultaneously guaranteeing the quality of service of the primary user (PU) is the most challenging issue in such a network. This paper proposes an efficient VHO strategy in a cognitive heterogeneous network, which considers both adaptive average received signal and spectrum availability, namely, average received signal and spectrum availability. To analyse the performance of the proposed average received signal and spectrum availability algorithm, several metrics are investigated. First, the assignment probability of a CHU from a macro base station to a femto base station is evaluated and simplified in a closed-form expression. Then, the outage probability of a CHU and collision probability of the PU are theoretically investigated for the proposed algorithm and are compared with 2 well-known algorithms, the modified received signal strength-α and the received signal strength and wireless transmission loss. We also introduce a new performance metric, referred to as figure of merit, which jointly considers the assignment and outage probability of a CHU, collision probability of a PU, and the number of unnecessary handovers of a CHU. Figure of merit effectively shows the superiority of the proposed handover algorithm to conventional ones. KEYWORDSARSA, cognitive handover user (CHU), cognitive HetNet, femtocell, macrocell, vertical handover (VHO)

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