Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Prithiviraj, A.; Maheswari, A. Uma; Balamurugan, D.; Ravi, Vinayakumar; Krichen, Moez; Alroobaea, Roobaea; Rubaiee, Saeed; Sennan, Sankar

doi:10.32604/cmc.2022.015299

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…However, the usage of the multiple parameters could result in an increased execution time. In [22], a multi-criteria fuzzy-based algorithm is proposed to enhance the vertical HO decision by choosing the best network. Selecting an optimal network leads to minimizing the false HO probability.…”

Section: Related Workmentioning

confidence: 99%

Conflict Resolution Strategy in Handover Management for 4G and 5G Networks

Alhammadi¹,

Hassan²,

El‐Saleh³

et al. 2022

Computers, Materials &Amp; Continua

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Fifth-generation (5G) cellular networks offer high transmission rates in dense urban environments. However, a massive deployment of small cells will be required to provide wide-area coverage, which leads to an increase in the number of handovers (HOs). Mobility management is an important issue that requires considerable attention in heterogeneous networks, where 5G ultra-dense small cells coexist with current fourth-generation (4G) networks. Although mobility robustness optimization (MRO) and load balancing optimization (LBO) functions have been introduced in the 3GPP standard to address HO problems, non-robust and nonoptimal algorithms for selecting appropriate HO control parameters (HCPs) still exist, and an optimal solution is subjected to compromise between LBO and MRO functions. Thus, HO decision algorithms become inefficient. This paper proposes a conflict resolution technique to address the contradiction between MRO and LBO functions. The proposed technique exploits received signal reference power (RSRP), cell load and user speed to adapt HO margin (HM) and time to trigger (TTT). Estimated HM and TTT depend on a weighting function and HO type which is represented by user status during mobility. The proposed technique is validated with other existing algorithms from the literature. Simulation results demonstrate that the proposed technique outperforms existing algorithms overall performance metrics. The proposed technique reduces the overall average HO ping-pong probability, HO failure rate and interruption time by more than 90%, 46% and 58%, respectively, compared with the other schemes overall speed scenarios and simulation time.

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Section: Related Workmentioning

confidence: 99%

Conflict Resolution Strategy in Handover Management for 4G and 5G Networks

Alhammadi¹,

Hassan²,

El‐Saleh³

et al. 2022

Computers, Materials &Amp; Continua

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Multi-objective optimization design of steel structure building energy consumption simulation based on genetic algorithm

Yuan

Rubaiee

Ahmed

et al. 2022

Nonlinear Engineering

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In order to solve the problems of data acquisition, quantitative analysis and model solving in the field of construction schedule optimization, a construction schedule optimization system based on genetic algorithm was constructed. On this basis, the construction schedule two-stage multi-objective optimization models of “duration-cost” and “fixed duration-resource equilibrium” are established, which aim at the lowest cost and resource equilibrium. Through the investigation and analysis of the project contract documents, the energy consumption and cost of the normal construction and emergency construction state of the contract plan of the basic project part (from the beginning of precipitation activities to the end of +0) are obtained. This section was optimized for the analysis. The genetic algorithm is used to solve the model, and the optimal duration of each process and the optimal start time of non-critical process are determined. The feasibility and effectiveness of the system and model are verified by practical application in the actual project, which provides support for determining the construction schedule scientifically and reasonably and helps to improve the construction schedule technical application effect and construction schedule management level.

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An ExpTODIM-GRA based multiple attribute group decision-making method for development level evaluation of digital inclusive finance under intuitionistic fuzzy circumstances

Deng,

Zhang

2023

IFS

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In recent years, due to the rapid development of internet technology, the integration process of digital technology and financial services has accelerated. Digital Financial inclusion has emerged as the times require, becoming an important force to promote private enterprises to get out of financing difficulties. The development level evaluation of digital inclusive finance is a classical multiple attribute group decision making (MAGDM) problems. Recently, Recently, the Exponential TODIM(ExpTODIM) and (grey relational analysis) GRA method has been used to cope with MAGDM issues. The intuitionistic fuzzy sets (IFSs) are used as a tool for characterizing uncertain information during the development level evaluation of digital inclusive finance. In this paper, the intuitionistic fuzzy Exponential TODIM-GRA (IF-ExpTODIM-GRA) method is built to solve the MAGDM under IFSs. In the end, a numerical case study for development level evaluation of digital inclusive finance is supplied to validate the proposed method. The main contributions of this paper are outlined: (1) the ExpTODIM and GRA method has been extended to IFSs; (2) Information Entropy is used to derive weight under IFSs. (3) the IF-ExpTODIM-GRA method is founded to solve the MAGDM under IFSs; (4) a numerical case study for development level evaluation of digital inclusive finance and some comparative analysis are supplied to validate the proposed method.

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Multi-Criteria Fuzzy-Based Decision Making Algorithm to Optimize the VHO Performance in Hetnets

Cited by 4 publications

References 17 publications

Conflict Resolution Strategy in Handover Management for 4G and 5G Networks

Conflict Resolution Strategy in Handover Management for 4G and 5G Networks

Multi-objective optimization design of steel structure building energy consumption simulation based on genetic algorithm

An ExpTODIM-GRA based multiple attribute group decision-making method for development level evaluation of digital inclusive finance under intuitionistic fuzzy circumstances

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