Demand-aware traffic cooperation for self-organizing cognitive small-cell networks
This article investigates the problem of efficient spectrum access for traffic demands of self-organizing cognitive small-cell networks, using the coalitional game approach. In particular, we propose a novel spectrum and time two-dimensional Traffic Cooperation Coalitional Game model which aims to i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718817289 |
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| _version_ | 1849702292001914880 |
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| author | Changhua Yao Lei Zhu Yongxing Jia Lei Wang |
| author_facet | Changhua Yao Lei Zhu Yongxing Jia Lei Wang |
| author_sort | Changhua Yao |
| collection | DOAJ |
| description | This article investigates the problem of efficient spectrum access for traffic demands of self-organizing cognitive small-cell networks, using the coalitional game approach. In particular, we propose a novel spectrum and time two-dimensional Traffic Cooperation Coalitional Game model which aims to improve the network throughput. The main motivation is to complete the data traffics of users, and the main idea is to make use of spectrum resource efficiently by reducing mutual interference in the spectrum dimension and considering cooperative data transmission in the time dimension at the same time. With the approach of coalition formation, compared with the traditional binary order in most existing coalition formation algorithms, the proposed functional order indicates a more flexibly preferring action which is a functional value determined by the environment information. To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. The proposed three algorithms are proved to converge to Nash-stable coalition structure. Simulation results verify the theoretic analysis and the proposed approaches. |
| format | Article |
| id | doaj-art-1a67e295aafd4e92b9092f3c8e8df866 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-1a67e295aafd4e92b9092f3c8e8df8662025-08-20T03:17:43ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-01-011510.1177/1550147718817289Demand-aware traffic cooperation for self-organizing cognitive small-cell networksChanghua YaoLei ZhuYongxing JiaLei WangThis article investigates the problem of efficient spectrum access for traffic demands of self-organizing cognitive small-cell networks, using the coalitional game approach. In particular, we propose a novel spectrum and time two-dimensional Traffic Cooperation Coalitional Game model which aims to improve the network throughput. The main motivation is to complete the data traffics of users, and the main idea is to make use of spectrum resource efficiently by reducing mutual interference in the spectrum dimension and considering cooperative data transmission in the time dimension at the same time. With the approach of coalition formation, compared with the traditional binary order in most existing coalition formation algorithms, the proposed functional order indicates a more flexibly preferring action which is a functional value determined by the environment information. To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. The proposed three algorithms are proved to converge to Nash-stable coalition structure. Simulation results verify the theoretic analysis and the proposed approaches.https://doi.org/10.1177/1550147718817289 |
| spellingShingle | Changhua Yao Lei Zhu Yongxing Jia Lei Wang Demand-aware traffic cooperation for self-organizing cognitive small-cell networks International Journal of Distributed Sensor Networks |
| title | Demand-aware traffic cooperation for self-organizing cognitive small-cell networks |
| title_full | Demand-aware traffic cooperation for self-organizing cognitive small-cell networks |
| title_fullStr | Demand-aware traffic cooperation for self-organizing cognitive small-cell networks |
| title_full_unstemmed | Demand-aware traffic cooperation for self-organizing cognitive small-cell networks |
| title_short | Demand-aware traffic cooperation for self-organizing cognitive small-cell networks |
| title_sort | demand aware traffic cooperation for self organizing cognitive small cell networks |
| url | https://doi.org/10.1177/1550147718817289 |
| work_keys_str_mv | AT changhuayao demandawaretrafficcooperationforselforganizingcognitivesmallcellnetworks AT leizhu demandawaretrafficcooperationforselforganizingcognitivesmallcellnetworks AT yongxingjia demandawaretrafficcooperationforselforganizingcognitivesmallcellnetworks AT leiwang demandawaretrafficcooperationforselforganizingcognitivesmallcellnetworks |