System parameters

<div><p>This paper introduces an Improved Rime Optimization Algorithm (IROA) designed to maximize achievable rates in multiuser wireless communication networks equipped with Reconfigurable intelligent surfaces (RISs). The proposed technique incorporates the Quadratic Interpolation Method...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Wafaa Alsaggaf (21465030) (author)
مؤلفون آخرون:	Mona Gafar (21465033) (author), Shahenda Sarhan (21465036) (author), Abdullah M. Shaheen (21465039) (author), Ahmed S. Alwakeel (21465042) (author)
منشور في:	2025
الموضوعات:	Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified reconfigurable intelligent surfaces quadratic interpolation method proposed technique incorporates minimum achievable rate maximize achievable rates lowest achievable rate improves solution diversity facilitates broader exploration average achievable rate across different scenarios worst objective outcomes second objective model first objective model 94 %, 13 74 %, 35 55 %, 7 54 %, 1 29 %, 14 1 %, 15 02 %, 42 two objective models optimize system performance iroa achieves improvements 07 %, 46 objective models 97 %, 46 %, xlink "> user case search space riss ). results demonstrate prioritize fairness paper introduces optimization framework main goal local optima ideal quantity findings demonstrate established algorithms enhances robustness differential evolution
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System parameters

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