Dynamic spectrum management : from cognitive radio to blockchain and artificial intelligence
Autor
Liang, Ying-Chang
Institución
Resumen
Radio spectrum, as an indispensable enabler of wireless communications, is
becoming a severely scarce resource with the explosive growth of wireless traffic
and massive connections of devices. Because of the spectrum scarcity problem,
millimeter-wave band and Tera-Hertz band are being explored for cellular mobile
communications. However, measurements have shown that the radio spectrum is
experiencing underutilization due to the adoption of static and exclusive spectrum
allocation method. It is expected that the spectrum allocation policy will be evolved
from the fixed manner to dynamic spectrum management (DSM), in order to make
full use of the radio spectrum.
The success of DSM, however, attributes not only to the availability of technical
methodologies, but also to the support from the spectrum policy. Cognitive radio
(CR) is the state-of-the-art enabling technique for DSM. With CR, an unlicensed/
secondary user is able to opportunistically or concurrently access spectrum bands
owned by the licensed/primary users. On the other hand, blockchain, as an essentially open and distributed ledger, incentivizes the formulation and secures the
execution of the policies for DSM. Finally, artificial intelligence (AI) techniques
help the users observe and interact with the dynamic radio environment, thereby
improving the efficiency and robustness of CR and blockchain for DSM.
This book provides a systematic overview of the above three technologies for
DSM, and reviews several communication systems that use DSM. It is intended for
a broad range of readers, including the students and the researchers in wireless
communications, as well as the radio spectrum policymakers. We hope the concepts, theories and methodologies presented in this book could offer useful references and guidance to the readers.