Spectrum Agile Radio: Detecting Spectrum Opportunities
Kiran Challapali, Stefan Mangold and Zhun Zhong
Philips Research -USA

[email protected]
[email protected]ps.com

Spectrum Agile Radio: Outline
Spectrum Agile Radio
Motivation
Introduction
Radio resource measurements
IEEE 802.11 Task Group h and k
Spectrum opportunity identification
Preliminary approaches
Evaluation of concepts
Summary
Philips Research team: Background
Active participant in IEEE WLAN standardization
More than 100 submissions
To shape standards to Consumer Electronics and Medical application needs
Protocols for Spectrum management
Significant contributors to radio resource management
IEEE 802.11 TG h, TG k and TG e
Contributor to Spectrum etiquette/Co-existence discussion in Wi-Fi
A major proposal to UWB-MAC development
Distributed MAC architecture with Peer-to-peer communication
Supports Mesh networking
Spectrum Agile Radio: Motivation
Use of unlicensed spectrum for commercial applications has been a tremendous success
Has resulted in many new applications
Medical, Consumer Electronics, Telecommunications, etc.
Overall, spectrum underutilized
Preliminary utilization studies confirm this
Current (time) static allocation of spectrum has resulted in this inefficiency
Fundamental rethinking of spectrum allocation
FCC’ s SPTF recommends dynamic allocations
Presidential Spectrum Policy Initiative (PSPI)
Spectrum Agile Radio: Motivation (II)
This means rules for radios as opposed to rules for services/applications
radio regulators will continue to decide policy that specify behaviors of these radios
We call such a radio a spectrum agile radio, that
makes opportunistic use of spectrum
based on available radio resources
while accommodating behaviors of primaries
Cognitive Radio: what makes them smart?
FCC NPRM and order on Cognitive Radio
The ability of cognitive radio technologies to adapt a radio’ s use of spectrum to the real-time conditions of its operating environment offers regulators, licensees, and the public the potential for more flexible, efficient, and comprehensive use of available spectrum while reducing the risk of harmful interference.
Spectrum Agile Radio: Salient features
Spectrum sharing by Interference management and Coordination between users, based on
Radio environment awareness
Real-time measurements, Dissemination and Opportunity identification
Awareness of primary and secondary usage
Radio behaviors influenced by evolving policies
Policies set by regulators
Policies for wireless network management
Examples:
For U-NII bands, using Etiquette as discussed in Wi-Fi
For hospitals
We favor simple approaches
Being a manufacturer and provider of consumer/medical solutions

SARA: IEEE 802.11 TG h (DFS/TPC)
Philips laid the foundation for DFS in 802.11
Together with a partner company
Philips recognized as a major contributor
Mechanisms in 802.11h
DFS: Dynamic frequency selection
TPC: Transmit power control
SARA: IEEE 802.11 TG k (RRM)
Provides mechanisms to make and share more elaborate measurements
Medium sensing measurement

Sequence obtained from CCA busy measurements

Identifying opportunities, method 1: Using autocorrelation
Identifying opportunities, method 2: Using Hough Transform
A robust approach to detect straight lines
Transformation to parametric space
Identifying opportunities, method 2: Using Hough Transform (II)
Identifying opportunities, method 2: Using Hough Transform (III)
Summary
Spectrum Agile Radio, an emerging area of Research
Key features of Spectrum Agile Radio:
Radio Measurements and
Opportunity identification

Contact information:
[email protected]

Categories: News