solidot新版网站常见问题,请点击这里查看。
消息
本文已被查看2970次
Machine Learning and Cognitive Technology for Intelligent Wireless Networks. (arXiv:1710.11240v2 [cs.IT] UPDATED)
来源于:arXiv
The ability to dynamically and efficiently allocate resources to meet the
need of growing diversity in services and user behavior marks the future of
wireless networks, giving rise to intelligent processing, which aims at
enabling the system to perceive and assess the available resources, to
autonomously learn to adapt to the perceived wireless environment, and to
reconfigure its operating mode to maximize the utility of the available
resources. The perception capability and reconfigurability are the essential
features of cognitive technology while modern machine learning techniques
project effectiveness in system adaptation. In this paper, we discuss the
development of the cognitive technology and machine learning techniques and
emphasize their roles in improving both spectrum and energy efficiency of the
future wireless networks. We describe in detail the state-of-the-art of
cognitive technology, covering spectrum sensing and access approaches that may
enhance spectrum utilization an 查看全文>>