arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1603.03357cs.ITcs.NImath.IT
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用于能量感知通信的认知绿色无线电

Cognitive Green Radio for Energy-Aware Communications

Malek Naoues, Quentin Bodinier, Jacques Palicot

摘要:

在5G网络中,连接设备的数量、每区域的数据率和数据量以及各种QoS要求将达到前所未有的规模。这些目标的实现将依赖于新技术以及网络架构和节点设计的颠覆性变化。能源效率被认为在补充5G技术和优化其部署、动态配置和管理方面发挥着关键作用[1]。在绿色通信和网络的框架内,特别是对于下一代绿色蜂窝无线电接入网络,GREAT(绿色认知无线电能源感知无线通信技术的发展)倡议,一个CominLabs卓越中心(卓越教育)和布列塔尼欧洲大学(UEB)项目,主要从不同的角度和角度解决能源效率的基本问题,在网络层和物理层利用认知技术。

英文摘要:

In 5G networks, the number of connected devices, data rate and data volume per area, as well as the variety of QoS requirements, will attain unprecedented scales. The achievement of these goals will rely on new technologies and disruptive changes in network architecture and node design. Energy efficiency is believed to play a key role in complementing the 5G technologies and optimizing their deployment, dynamic configuration and management [1]. Within the framework of green communications and networks, especially for next-generation green cellular radio access networks, the GREAT (Green Cognitive Radio for Energy-Aware wireless communication Technologies evolution) initiative, a CominLabs Excellence Center (Laboratoire d'Excellence) and Université Européenne de Bretagne (UEB)project, has mainly addressed the fundamental issues of energy efficiency from various perspectives and angles, leveraging on cognitive techniques, at networking level as well as at thephysical layer level.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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