An improved TOPSIS vertical handoff algorithm for heterogeneous wireless networks

Liu, Shengmei; Su, Pan; Xu, Minghai

doi:10.1109/icct.2010.5688617

Cited by 30 publications

(11 citation statements)

References 6 publications

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“…Moreover, the choice space is a u × v matrix, where u is the number of candidate schemes, i.e., u = 2, and v is the number of candidate power allocation factors, which are discretized artificially. The concrete implementation process is as follows: first, the standard deviation method [20], which uses mathematical variance information to solve the MADM problem, is used to obtain the objective weight of each decision parameter; then, the technique for order preference by similarity to the ideal solution (TOPSIS) [21], which makes the most of the information of the raw data, is used to sort the candidate combinations in order to choose the best one.…”

Section: Adaptive Power Allocation Schemementioning

confidence: 99%

Adaptive Power Allocation Scheme for Mobile NOMA Visible Light Communication System

Dong

Shang

et al. 2019

Electronics

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Recently, due to its higher spectral efficiency and enhanced user experience, non-orthogonal multiple access (NOMA) has been widely studied in visible light communication (VLC) systems. As a main concern in NOMA-VLC systems, the power allocation scheme greatly affects the tradeoff between the total achievable data rate and user fairness. In this context, our main aim in this work was to find a more balanced power allocation scheme. To this end, an adaptive power allocation scheme based on multi-attribute decision making (MADM), which flexibly chooses between conventional power allocation or inverse power allocation (IPA) and the optimal power allocation factor, has been proposed. The concept of IPA is put forward for the first time and proves to be beneficial to achieving a higher total achievable data rate at the cost of user fairness. Moreover, considering users’ mobility along certain trajectories, we derived a fitting model of the optimal power allocation factor. The feasibility of the proposed adaptive scheme was verified through simulation and the fitting model was approximated to be the sum of three Gaussian functions.

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Section: Adaptive Power Allocation Schemementioning

confidence: 99%

Adaptive Power Allocation Scheme for Mobile NOMA Visible Light Communication System

Dong

Shang

et al. 2019

Electronics

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“…The most popular classical MADM methods are: SAW (Simple Additive Weighting) [6] [18]: the overall score of a candidate network is determined by the weighted sum of all the attribute values. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) [7]: the chosen candidate network is the one which is the closest to ideal solution and the farthest from the worst case solution. AHP (Analytic Hierarchy Process) [8]: decomposes the network selection problem into several sub-problems and assigns a weight value for each sub-problem.…”

Section: Related Workmentioning

confidence: 99%

TSVHOA-traffic sensitive vertical handoff algorithm for best quality network technology

Bhuvaneswari

Raj

2012

International Conference on Software Engineering and Mobile Application Modelling and Development (ICSEMA 2012)

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Growth in the field of wireless communication technology has captivated the user to make use of it in recent years. The user expects more supporting services to access the best available network which satisfies user preferences and application requirements. To fulfill the requirements of the user, the next generation mobile terminals have multiple interface technologies, which allow data to be received over multiple system bearers with different characteristics. During user mobility, there is a need to have vertical handoff solution to have seamless communication. The main issue is how to select the best available network to meet requirements of user, network and application during handoff. This paper proposes an algorithm TSVHOA for Vertical Handoff decision to select the best quality network technology based on the traffic type using Analytical Hierarchical Process (AHP). Also, the algorithm is simulated with respect to different network technologies like WiFi, WiMAX and WCDMA to select the best one.

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“…Their algorithm gives better sensing performance and better throughput in CR networks. Sheng-Mei et al (2010), they combine signal to interference plus noise ratio (SINR) and analytic hierarchy process (AHP). This approach proves to be an effective mathematical tool for problems that need to make decisions.…”

Section: Multi-criteria Decisionmentioning

confidence: 99%

“…The movements of the nodes can generate creations and/or loss of links. Lahby et al (2013) and Sheng-Mei et al (2010) propose a decision technique for vertical handover based on the technique for order preference by similarity to ideal solution (TOPSIS) algorithm. In Lahby et al (2013), they combine multi-criteria decision methods, analytical network processes and the improved TOPSIS algorithm.…”

Section: Introductionmentioning

confidence: 99%

Multi Channel Selection using Distributed Mutual Exclusion and Multi-criteria Decision in Cognitive Radio Networks

Amraoui¹

2018

IJKEDM

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The cognitive radio (CR) technology allows the secondary user (SU) to share the licensed spectrum by using negotiation or cooperation methods issued from dynamic spectrum access (DSA). In this research paper we propose a method based on multi-criteria decision to deal with many parameters and after that we propose an algorithm for distributed mutual exclusion (DME) to solve the problem of channel selection. The performance of the proposed solution is evaluated through extensive simulations and achieves satisfactory results in term of processing time, response time and especially the number of exchanged messages.Reference to this paper should be made as follows: Amraoui, A. (2018) 'Multi channel selection using distributed mutual exclusion and multi-criteria decision in cognitive radio networks', Int.

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An improved TOPSIS vertical handoff algorithm for heterogeneous wireless networks

Cited by 30 publications

References 6 publications

Adaptive Power Allocation Scheme for Mobile NOMA Visible Light Communication System

Adaptive Power Allocation Scheme for Mobile NOMA Visible Light Communication System

TSVHOA-traffic sensitive vertical handoff algorithm for best quality network technology

Multi Channel Selection using Distributed Mutual Exclusion and Multi-criteria Decision in Cognitive Radio Networks

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