Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications
Cooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a gam...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717737969 |
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| _version_ | 1849695892593967104 |
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| author | Jianhua Liu Jiadi Yu Minglu Li Luqun Li Dazhi Li Shigen Shen |
| author_facet | Jianhua Liu Jiadi Yu Minglu Li Luqun Li Dazhi Li Shigen Shen |
| author_sort | Jianhua Liu |
| collection | DOAJ |
| description | Cooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a game theoretical framework for mobile two-dimensional multiple-input-multiple-output communication networks to achieve optimal relay selection and cooperative control. A source node, relay, and destination node can make service-selection decisions dynamically in a two-level network, based on the mobile-channel satisfaction parameters (e.g. spatial-temporal correlation and relay survivability). To model this dynamic interactive decision problem, we propose a hierarchical dynamic game framework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. Numerical results show that the proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multiple-output communication networks. |
| format | Article |
| id | doaj-art-93a7842a79df46de94d636dbdf938ffd |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-93a7842a79df46de94d636dbdf938ffd2025-08-20T03:19:38ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-10-011310.1177/1550147717737969Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communicationsJianhua Liu0Jiadi Yu1Minglu Li2Luqun Li3Dazhi Li4Shigen Shen5College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, ChinaDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaCollege of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, ChinaDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Computer Science and Engineering, Shaoxing University, Shaoxing, ChinaCooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a game theoretical framework for mobile two-dimensional multiple-input-multiple-output communication networks to achieve optimal relay selection and cooperative control. A source node, relay, and destination node can make service-selection decisions dynamically in a two-level network, based on the mobile-channel satisfaction parameters (e.g. spatial-temporal correlation and relay survivability). To model this dynamic interactive decision problem, we propose a hierarchical dynamic game framework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. Numerical results show that the proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multiple-output communication networks.https://doi.org/10.1177/1550147717737969 |
| spellingShingle | Jianhua Liu Jiadi Yu Minglu Li Luqun Li Dazhi Li Shigen Shen Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications International Journal of Distributed Sensor Networks |
| title | Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications |
| title_full | Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications |
| title_fullStr | Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications |
| title_full_unstemmed | Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications |
| title_short | Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications |
| title_sort | evolutionary game based cooperative strategy for effective capacity of multiple input multiple output communications |
| url | https://doi.org/10.1177/1550147717737969 |
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