Sharing Rf Spectrum With Commodity Wireless Technologies
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Sharing RF Spectrum with Commodity Wireless Technologies
Author: Jan Kruys
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-08-09
Much energy has been spent on the subject of spectrum scarcity that would threaten to stunt the growth of wireless technologies and services. This concern comes on the heels of the great successes of both cellular communications and consumer oriented communications like Wi-Fi and Bluetooth that have changed the way people use computers and communications and that have led to the creation of large new markets for products and services. The response of many spectrum regulators throughout the world in addressing these concerns has been to consider releasing more spectrum for unlicensed or for shared use. An example is the spectrum that is released by the transition to digital TV: the frequencies freed up are destined, in part, to new applications that would be license exempt. A possible beneficiary of new spectrum releases would be "the smart grid", a networked application of digital sensor and control technology to the energy delivery segment of the energy utility industry. This policy has heightened the interests of all involved in spectrum sharing and many proposals are being considered or brought forward. However, theory in this area is scarce and practice proves resistive of quick solutions. A case in point is RLAN/radar spectrum sharing in the 5GHz range: six years after the ITU-R allocated this shared spectrum, the rules for sharing as well as the means to verify compliance with these rules are not fully mature. Another recent development is the interest in spectrum pricing and trading which tend to focus on the economic aspects of spectrum sharing at the expense understanding of the limitations as well as the technical possibilities of spectrum sharing.
Sharing RF Spectrum with Commodity Wireless Technologies
Much energy has been spent on the subject of spectrum scarcity that would threaten to stunt the growth of wireless technologies and services. This concern comes on the heels of the great successes of both cellular communications and consumer oriented communications like Wi-Fi and Bluetooth that have changed the way people use computers and communications and that have led to the creation of large new markets for products and services. The response of many spectrum regulators throughout the world in addressing these concerns has been to consider releasing more spectrum for unlicensed or for shared use. An example is the spectrum that is released by the transition to digital TV: the frequencies freed up are destined, in part, to new applications that would be license exempt. A possible beneficiary of new spectrum releases would be "the smart grid", a networked application of digital sensor and control technology to the energy delivery segment of the energy utility industry. This policy has heightened the interests of all involved in spectrum sharing and many proposals are being considered or brought forward. However, theory in this area is scarce and practice proves resistive of quick solutions. A case in point is RLAN/radar spectrum sharing in the 5GHz range: six years after the ITU-R allocated this shared spectrum, the rules for sharing as well as the means to verify compliance with these rules are not fully mature. Another recent development is the interest in spectrum pricing and trading which tend to focus on the economic aspects of spectrum sharing at the expense understanding of the limitations as well as the technical possibilities of spectrum sharing.
Distributed Computing and Artificial Intelligence, 13th International Conference
The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)