Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

Understand

The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before.

• For this reason, techniques such as spectrum sharing, dynamic spectrum access, extraction of signal intelligence and optimized routing will soon become essential components of the IoT wireless communication paradigm.
• Given that the majority of the IoT will be composed of tiny, mobile, and energy-constrained devices, traditional techniques based on a priori network optimization may not be suitable, since (i) an accurate model of the environment may not be readily available in practical scenarios; (ii) the computational requirements of traditional optimization techniques may prove unbearable for IoT devices.
• To address the above challenges, much research has been devoted to exploring the use of machine learning to address problems in the IoT wireless communications domain.