通信学报

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认知融合网络的关键技术

杨春刚,岳 健,李建东,盛 敏,李红艳,刘 勤   

  1. 西安电子科技大学 ISN国家重点实验室 信息科学研究所,陕西 西安 710071
  • 出版日期:2014-06-25 发布日期:2014-06-15

Key techniques of cognitive convergence networks

  • Online:2014-06-25 Published:2014-06-15

摘要: 关注异构蜂窝网络和认知无线网络的发展,分别总结了认知异构蜂窝网络、认知家庭基站和认知WiFi 2.0网络的概念和相应研究,凝练了认知融合网络的概念。针对认知融合网络中宏站与多小站共存于相同频段,必然导致严重的干扰问题,提出了认知资源管理和认知干扰管理环路框架,实现资源和干扰的高效管理,有效提升端到端的用户体验质量。最后展望了认知融合网络的未来发展方向和关键技术问题。

Abstract: Concentrating on the development of heterogeneous cellular networks and cognitive radio networks, the cognitive cellular networks, femtocell and WiFi 2.0 networks were firstly summarized, respectively. The promising combination potentials of them motivates to define the newly-form networking architecture termed as the cognitive convergence network. In addition, two cognition loops of cognitive resource management and cognitive interference management were proposed to mitigate the intra-tier and inter-tier interference. These cognition loops can help to improve the end-to-end quality of user experience. Finally, the future development and the key techniques of the presented the cognitive convergence networks was looked forward.

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