Resource allocation for wireless caching in socially-enabled D2D communications
Wireless caching using device-to-device (D2D) communications is a promising approach for reducing delivery delay and improving spectrum efficiency and energy efficiency. In addition to the physical link condition, social behaviors are also of great importance for effectiveness enhancement of the D2D...
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| Published in: | IEEE International Conference on Communications (2003) pp. 1 - 6 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding Journal Article |
| Language: | English |
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IEEE
01.05.2016
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| ISBN: | 1479966649, 9781479966646 |
| ISSN: | 1550-3607, 1938-1883 |
| Online Access: | Get full text |
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| Abstract | Wireless caching using device-to-device (D2D) communications is a promising approach for reducing delivery delay and improving spectrum efficiency and energy efficiency. In addition to the physical link condition, social behaviors are also of great importance for effectiveness enhancement of the D2D-based wireless caching schemes. In this work, we focus on resource allocation including power and spectrum to improve the system efficiency in terms of jointly considered spectrum efficiency and energy efficiency, by leveraging both physical and social characteristics. Furthermore, a heuristic-based mixed integer nonlinear programming algorithm is proposed to solve the joint optimization problem, including the establishment of D2D links, spectrum allocation and power optimization. Numerical results demonstrate the effectiveness of the proposed scheme in terms of different pairing algorithms. |
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| AbstractList | Wireless caching using device-to-device (D2D) communications is a promising approach for reducing delivery delay and improving spectrum efficiency and energy efficiency. In addition to the physical link condition, social behaviors are also of great importance for effectiveness enhancement of the D2D-based wireless caching schemes. In this work, we focus on resource allocation including power and spectrum to improve the system efficiency in terms of jointly considered spectrum efficiency and energy efficiency, by leveraging both physical and social characteristics. Furthermore, a heuristic-based mixed integer nonlinear programming algorithm is proposed to solve the joint optimization problem, including the establishment of D2D links, spectrum allocation and power optimization. Numerical results demonstrate the effectiveness of the proposed scheme in terms of different pairing algorithms. |
| Author | Svensson, Tommy Huaqing Wu Li Wang Zhu Han |
| Author_xml | – sequence: 1 surname: Huaqing Wu fullname: Huaqing Wu organization: Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China – sequence: 2 surname: Li Wang fullname: Li Wang email: liwang@bupt.edu.cn organization: Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China – sequence: 3 givenname: Tommy surname: Svensson fullname: Svensson, Tommy email: tommy.svensson@chalmers.se organization: Chalmers Univ. of Technol., Gothenburg, Sweden – sequence: 4 surname: Zhu Han fullname: Zhu Han email: zhan2@uh.edu organization: Dept. of Electr. & Eng., Univ. of Houston, Houston, TX, USA |
| BackLink | https://research.chalmers.se/publication/246193$$DView record from Swedish Publication Index (Chalmers tekniska högskola) |
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| SubjectTerms | Algorithms Allocations Caching Cascading style sheets Data communication Device-to-device communications Electric power generation Energy management Interference Links Mobile communication Optimization Resource allocation Resource management social interaction wireless caching Wireless communication |
| Title | Resource allocation for wireless caching in socially-enabled D2D communications |
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