Spectrum Allocation Method Based on Modified Social Spider Optimization Algorithm

In this paper, modified social spider optimization algorithm (MSSO) has been proposed to solve the spectrum allocation problem in Macrocell/Femtocell heterogeneous network. As an integer programming problem, existing intelligence algorithms show some disadvantages in the convergence rate and accuracy in such spectrum allocation task in heterogeneous network. Besides we consider the user demand satisfaction rate when modeling the system throughput. From the simulation results, MSSO has excellent optimization performance for high-dimensional integer programming problems.

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Published
2024-10-25
DOI
https://doi.org/10.1109/ccpqt64497.2024.00053
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectrum Allocation Method Based on Modified Social Spider Optimization Algorithm

Hongyuan Gao, Yaqing Zheng, Xiaoyuan Gu, A. S. Mohammed et al.
Advanced Computing and Algorithms
article

Spectrum Allocation Method Based on Modified Social Spider Optimization Algorithm

Hongyuan Gao, Yaqing Zheng, Xiaoyuan Gu, A. S. Mohammed, Jiliang Han
article en

Abstract

In this paper, modified social spider optimization algorithm (MSSO) has been proposed to solve the spectrum allocation problem in Macrocell/Femtocell heterogeneous network. As an integer programming problem, existing intelligence algorithms show some disadvantages in the convergence rate and accuracy in such spectrum allocation task in heterogeneous network. Besides we consider the user demand satisfaction rate when modeling the system throughput. From the simulation results, MSSO has excellent optimization performance for high-dimensional integer programming problems.

Harbin Engineering University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Reduced inequalities
Openalex Percentile: Top 51%
Advanced Computing and Algorithms
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