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Maximizing Efficiency using Fuzzy Matrix Optimization for Wireless Resource Allocation |
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PP: 1495-1506 |
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doi:10.18576/amis/180625
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Author(s) |
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Asokan Vasudevan,
M. Rashmi,
Suleiman Ibrahim Mohammad,
N. Yogeesh,
N. Raja,
D. K. Girija,
J. Divyashree,
Mosleh M. Abualhaj,
Muhammad Turki Alshurideh,
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Abstract |
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| Modern communication systems use wireless networks to meet rising data service demand. Traffic patterns are unpredictable, making resource allocation in such networks difficult. This novel approach of research study suggests using fuzzy matrix optimizationto allocate wireless network resources efficiently. Fuzzy logic is rule-based and imprecise, both of which are good characterizes fuzzy for describing data in a non-deterministic wireless network. The study is initiated with a thoughtful assessment of the resource allocation mechanisms and restrictions. Later, to represent channel conditions, traffic load, user requests, etc., the complementary role of the fuzzy matrix is exploited. The method not only enhances throughput and latency but also lowers energy consumption, offering a promising solution to the challenges of wireless resource allocation. This paper proposes a systematic fuzzy matrix optimization model for allocating resources in wireless networks. Recall that, as it turns out, all resource allocation choices are the result of the human decision-making process (data gathering could be considered a part of this stage). The effectiveness of the proposed approach is demonstrated through simulations and performance comparison.
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