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認知無線網絡中頻譜預測技術研究進展

Research Progress of Spectrum Prediction Techniques in Cognitive Radio Networks

  • 摘要: 隨著無線網絡業務的迅猛增長,稀缺的無線頻譜資源成為製約無線通信技術發展的瓶頸。認知無線電技術通過對授權頻譜進行二次利用的方法為緩解頻譜資源匱乏與日益增長的無線業務需求之間的矛盾提供了一種十分有效的技術解決方案。頻譜預測技術作為認知無線電的關鍵技術之一,其在降低系統能量消耗,提高系統靈敏度,降低頻譜沖突及提高系統容量等方面發揮重要作用。為此,對認知無線網絡中頻譜預測技術的研究現狀及最新進展進行較為全面和深入的研究,從頻譜感知,頻譜決策,頻譜遷移及頻譜共享等4個方面對頻譜預測技術及其在認知無線網絡中的應用進行了分析,並指出頻譜預測技術未來的發展趨勢及存在的挑戰。

     

    Abstract: With the rapid growth of wireless network services, the scarce wireless spectrum resources have become a bottleneck restricting the development of wireless communication technologies. Cognitive Radio (CR) technology provides a very effective technical solution to alleviate the contradiction between spectrum resource scarcity and the growing demand for wireless services through the secondary utilization of licensed spectrum. As one of the key technologies of CR, spectrum prediction technique plays an important role in reducing system energy consumption, improving system sensitivity, reducing spectrum conflicts and increasing system capacity. Therefore, an in-depth and comprehensive study on the research status and the latest progress of spectrum prediction techniques in cognitive radio networks (CRNs) were conducted. The spectrum prediction technique and its application in CRNs were analyzed from the perspectives of spectrum sensing, spectrum decision, spectrum mobility and spectrum sharing. The future development trend and challenges of spectrum prediction technique were pointed out in the end of the paper.

     

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