کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6903920 | 1446994 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Resource multi-objective mapping algorithm based on virtualized network functions: RMMA
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
Existing radio access network systems are static and rigid; they cannot easily satisfy the increasingly large volume of mobile traffic. A new multi-objective optimization approach was developed to leverage the complexity and scalability of radio resource allocation in large-scale radio access networks. A mathematical model of virtualized resource mapping in a heterogeneous radio access network is proposed in this study. We expanded the dynamic differential evolutionary algorithm by regulating the weight parameters of each objective with machine learning to solve the mathematical model. Our approach is evaluated comprehensively in terms of complexity and convergence, and simulations are conducted to verify the proposed approach and demonstrate that the unilateral value of our multi-objective optimization can mirror the results of single-objective optimizations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 66, May 2018, Pages 220-231
Journal: Applied Soft Computing - Volume 66, May 2018, Pages 220-231
نویسندگان
Sai Zou, Yuliang Tang, Wei Ni, Ren Ping Liu, Lei Wang,