دورية أكاديمية

Spectrum Allocation Based on an Improved Gravitational Search Algorithm

التفاصيل البيبلوغرافية
العنوان: Spectrum Allocation Based on an Improved Gravitational Search Algorithm
المؤلفون: Liping Liu, Ning Wang, Zhigang Chen, Lin Guo
المصدر: Algorithms, Vol 11, Iss 3, p 27 (2018)
بيانات النشر: MDPI AG, 2018.
سنة النشر: 2018
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Electronic computers. Computer science
مصطلحات موضوعية: GSA, spectrum allocation, CRNs, PSA, Chebyshev chaotic sequences, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95
الوصف: In cognitive radio networks (CRNs), improving system utility and ensuring system fairness are two important issues. In this paper, we propose a spectrum allocation model to construct CRNs based on graph coloring theory, which contains three classes of matrices: available matrix, utility matrix, and interference matrix. Based on the model, we formulate a system objective function by jointly considering two features: system utility and system fairness. Based on the proposed model and the objective problem, we develop an improved gravitational search algorithm (IGSA) from two aspects: first, we introduce the pattern search algorithm (PSA) to improve the global optimization ability of the original gravitational search algorithm (GSA); second, we design the Chebyshev chaotic sequences to enhance the convergence speed and precision of the algorithm. Simulation results demonstrate that the proposed algorithm achieves better performance than traditional methods in spectrum allocation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1999-4893
العلاقة: http://www.mdpi.com/1999-4893/11/3/27Test; https://doaj.org/toc/1999-4893Test
DOI: 10.3390/a11030027
الوصول الحر: https://doaj.org/article/0d1d9f314d2a47d9bada01b6cddb4ddbTest
رقم الانضمام: edsdoj.0d1d9f314d2a47d9bada01b6cddb4ddb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19994893
DOI:10.3390/a11030027