Optimal power allocation in cognitive radio based machine-to-machine network
| Autor: | Xiaoyong Kang, Zhongya Liu, Tao Huang, Chenglin Zhao, Haipeng Yao |
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| Jazyk: | angličtina |
| Předmět: |
Scheme (programming language)
business.industry Computer science Computer Networks and Communications Quality of service Admission control Cognitive network Interference (wave propagation) Power (physics) Computer Science Applications Machine to machine Cognitive radio Signal Processing Computer Science::Networking and Internet Architecture business computer Computer network computer.programming_language |
| Zdroj: | EURASIP Journal on Wireless Communications and Networking. 2014(1) |
| ISSN: | 1687-1499 |
| DOI: | 10.1186/1687-1499-2014-82 |
| Popis: | In this paper, we investigate the optimal power allocation strategy in a cognitive radio-based machine-to-machine (M2M) network where a licensed primary user and multiple unlicensed M2M devices coexist and operate in the same licensed spectrum. We develop a connectivity establishment mechanism in M2M network based on the cognitive radio scheme and propose an optimal power allocation scheme which achieves the maximum system utility while satisfying the QoS requirement of M2M devices and interference constraints of the primary user. The simulation results show that the proposed algorithm achieves better performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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