A multicriteria decision-making framework for Hybrid Light Fidelity network
Demand for faster internet communications has been significantly on the rise, this is apparent given available spectrum scarcity and increasing demand for wireless services which leads to spectrum crunch problem. It occurs when more devices rely on wireless communication, overloading the limited...
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| Format: | Thesis |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/120084/ http://psasir.upm.edu.my/id/eprint/120084/1/120084.pdf |
| Summary: | Demand for faster internet communications has been significantly on the rise,
this is apparent given available spectrum scarcity and increasing demand for
wireless services which leads to spectrum crunch problem. It occurs when
more devices rely on wireless communication, overloading the limited
spectrum resources. Accordngly, this causes slower data rates and
performance degradation. To fulfil the growing need for a better wireless
connection, Light Fidelity (Li-Fi) has emerged as a solution. Unlike radiobased
communication systems, Li-Fi transmits data by Visible Light rather than
Radio Frequencies. Li-Fi has various benefits, including quicker data transfer,
more bandwidth, less network congestion and interference. Li-Fi has
numerous advantages, including but not limited to faster data transfer rates,
more bandwidth and reduced network congestion, in addition to zero
interference. Combining both technologies Wi-Fi and Li-Fi offers various
benefits, including increased data transfer speed, and enhanced network and
user capacity. Despite the hybrid approach suitability and strength, it still faces
problems when encountering situations with Access Point Assignment (APA),
Network Selection (NS), load balancing, and Handover (HO) problems. All
these problems affect user connections in terms of maintaining a stable
connection, specifically, HO leads to connection disruption of user from the
access point (AP), the APA problem refers to choosing most suitable AP based
on multiple factors, and balancing the load for connected users is challenging.
The fluctuation of different variables values complicates the decision-making
process in the midst of the three problems. Therefore, considering multi criteria
measurement and evaluation will is anticipated to offer more robust decisionmaking
mechanism which can assist users in addressing such problems.
Different attempts were made to address these issues, where fuzzy logic, and
load balancing techniques were used in the hybrid approach, however, these
techniques did not consider dealing with various APA parameters
simultaneously while also considering their levels of significance in the
decision-making process presented in the APA process. Therefore, this
research aims to establish a more robust decision-making mechanism for
Hybrid Li-Fi networks for APA and NS problems by proposing an integrated
Multi Criteria Decision Making (MCDM) solution. The proposed MCDM
integrated methodology utilizes Analytic Hierarchy Process (AHP) and
ViĊĦekriterijumsko Kompromisno Rangiranje (VIKOR) for factors/criteria
weighting and alternatives ranking of AP and NS. All mentioned problems
above were addressed using the proposed MCDM mechanism through 4 main
phases, including, identification phase, weighting phase, selection phase, and
evaluation phase. Different experimentations and simulations were conducted,
and the results presented a unique solution which is different and more
efficient in comparison with the benchmark works utilized in APA and NS tasks.
Moreover, an enhanced LB approach was developed which provides better
higher system throughput and increases user fairness for the connected users.
In addition, the proposed work aims to reduce the HO rate. The proposed work
findings indicate significant improvement that outperforms the benchmark
works regarding system throughput, user fairness, HO rate, and switching
probability. The proposed approach has been validated and evaluated using
two means, that include sensitivity analysis, and MATLAB simulations. |
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