First International ICST Workshop on Cognitive Radio and Cooperative Strategies for Power Saving

Research Article

A Context Aware Architecture for Energy Efficient Cognitive Radio

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  • @INPROCEEDINGS{10.1007/978-3-642-35155-6_36,
        author={Qiwei Zhang and Klaus Moessner},
        title={A Context Aware Architecture for Energy Efficient Cognitive Radio},
        proceedings={First International ICST Workshop on Cognitive Radio and Cooperative Strategies for Power Saving},
        proceedings_a={C2POWER},
        year={2012},
        month={12},
        keywords={energy efficiency Cognitive Radio context awareness game theory},
        doi={10.1007/978-3-642-35155-6_36}
    }
    
  • Qiwei Zhang
    Klaus Moessner
    Year: 2012
    A Context Aware Architecture for Energy Efficient Cognitive Radio
    C2POWER
    Springer
    DOI: 10.1007/978-3-642-35155-6_36
Qiwei Zhang1,*, Klaus Moessner1
  • 1: University of Surrey
*Contact email: Qiwei.Zhang@surrey.ac.uk

Abstract

Energy efficiency is a critical issue for future wireless communication. The European FP7 C2POWER project is to research, develop and demonstrate energy saving technologies for multi-standard wireless mobile devices, exploiting the combination of Cognitive Radio and cooperative strategies. The basic objective is to establish an energy optimization framework founded upon energy aware Cognitive Radio nodes which can dynamically optimize energy consumption while satisfying desired Quality of Service (QoS) for specific radio environments and applications. The context awareness for energy efficient Cognitive Radio can be seen as decision-making processes to optimize energy saving strategy based on energy related context information. The decision of a single node may have impacts on the energy consumption of other nodes and the entire Cognitive Radio network. Such decision-making processes are interactive. Game theory provides a mathematical basis for the analysis of interactive decision making processes. This paper presents a context aware architecture for energy efficient Cognitive Radio network from a game theoretical perspective.