Adaptive Spectrum Radio: A Feasibility Platform On The Path To Dynamic Spectrum Access International Symposium On Advanced Radio Technologies 4-7 March.

Slides:



Advertisements
Similar presentations
GSC: Standardization Advancing Global Communications Evolution of TD-SCDMA China Communications Standards Association (CCSA) Chicago, May 29th to 2nd June,
Advertisements

VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
Spectrum Awareness in Cognitive Radio Systems based on Spectrum Sensing Miguel López-Benítez Department of Electrical Engineering and Electronics University.
NIST Standards Education Dynamic Spectrum Access Standards Martin BH Weiss School of Information Sciences University of Pittsburgh
System Design for Cognitive Radio Communications
Speaker: You-Min Lin Advisor: Dr. Kai-Wei Ke Date: 2011/04/25 Cognitive Radio Networks (CRN) 1.
Smart-Radio-Enabled Opportunistic Spectrum Utilization Xin Liu Computer Science Dept. University of California, Davis Netlabs Workshop, Davis, 2005.
Multiantenna-Assisted Spectrum Sensing for Cognitive Radio
SSC Page 1 Frequency Agile Spectrum Access Technologies Presentation to FCC Workshop on Cognitive Radios May 19, 2003 Mark McHenry Shared Spectrum Company.
COGNITIVE RADIO FOR NEXT-GENERATION WIRELESS NETWORKS: AN APPROACH TO OPPORTUNISTIC CHANNEL SELECTION IN IEEE BASED WIRELESS MESH Dusit Niyato,
Introduction.
Munawwar M. Sohul Dr. Taeyoung Yang Dr. Jeffrey H. Reed a
IEEE SCC41 PARs Dr. Rashid A. Saeed. 2 SCC41 Standards Project Acceptance Criteria 1. Broad market application  Each SCC41 (P1900 series) standard shall.
The Symbiosis of Cognitive Radio and WMNs from “Guide to WMNs” by Sudip Misra and et al, 2009 Myungchul Kim
William Krenik and Anuj Batra Texas Instruments Incorporated TI Blvd., MS 8723 Dallas, Texas 75243, USA
NIST Standards Education Dynamic Spectrum Access Systems Martin BH Weiss School of Information Sciences University of Pittsburgh
Meteorological Spectrum Issues- Outcome of the 2003 World Radiocommunication Conference Presented By: David Franc National Weather Service December 2,
Sg-whitespace SubmissionRashid A. Saeed, Telekom MalaysiaSlide 1 February 2009 Slide 1 Work in the ITU: Focus on how 802 can best leverage.
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Cognitive Radio Networks
A Survey of Spectrum Sensing Algorithm for Cognitive Radio Applications YaGun Wu netlab.
1 xG® and xMax® are registered trademarks of xG Technology, Inc. Copyright 2011, All Rights Reserved. Sept 2012 Cognitive Radio Policy.
19 May 2003 Spectrum Policy and Technology Spectrum Access and the Promise of Cognitive Radio Technology.
Ch 11. Multiple Antenna Techniques for WMNs Myungchul Kim
Sangeetha Nandan (1ay05cs057)
Copyright © 2010 National Institute of Information and Communications Technology. All Rights Reserved 1 R&D and Standardization Activities on Distributed.
©Ofcom IEEE 802 Plenary, Dallas, Tx RRTAG( ) meeting Consultation on Safety Related ITS 12 th November 2008 Andrew Gowans, Head of Exempt Technology.
1 Distribution Statement “A” (Approved for Public Release, Distribution Unlimited)5/15/2012 Advanced Radio Frequency Mapping (RadioMap) Dr. John Chapin.
CSMAC Spectrum Sharing Sub- Committee Discussion Materials March 2012.
Defense Information Systems Agency A Combat Support Agency E3 Engineering Division 13 December 2011 Defense Information Systems Agency A Combat Support.
Multi-Radio Integration for Heterogeneous IEEE Network Beyond 4G IEEE Presentation Submission Template (Rev. 9) Document Number: IEEE C /0015.
Cognitive Radio: Next Generation Communication System
Project: IEEE P Working Group for Wireless Personal Area Networks (WPANS) Submission Title: [TG3a Performance Considerations in UWB Multi-Band] Date.
Static Spectrum Allocation
Cognitive Radio
Doc.: IEEE /0041r0 Submission November 2006 Mark Austin, OfcomSlide 1 SEAMCAT Introduction Presentation to IEEE Notice: This document has.
Farrukh Javed F /07-UET - PHD-CASE-CP-40 Spectrum Sensing and Allocation Techniques for Cognitive Radios.
How wireless networks scale: the illusion of spectrum scarcity David P. Reed [ Presented at International Symposium on Advanced.
Spectrum Sensing In Cognitive Radio Networks
Doc.: IEEE /0018r0 Submission March 2006 Steve Berger, TEM ConsultingSlide 1 Exploration of Structure for IEEE P Recommended Practice for.
Dynamic Spectrum Access/Management Models Exclusive-Use Model Shared-Use Model.
1 Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks Advisor: Wei-Yeh Chen Student: Long-Chong Hung G. Chen, Y. Zhang, M. Song,
1 Spectrum Co-existence of IEEE b and a Networks using the CSCC Etiquette Protocol Xiangpeng Jing and Dipankar Raychaudhuri, WINLAB Rutgers.
Discovering Sensor Networks: Applications in Structural Health Monitoring Summary Lecture Wireless Communications.
Doc.: IEEE /12??r0 SubmissionSlide 0 IEEE 802 Plenary, Dallas, Tx RRTAG( ) meeting Consultation on Safety Related ITS 12 th November 2008.
INTRODUCTION. Electrical and Computer Engineering  Concerned with solving problems of two types:  Production or transmission of power.  Transmission.
The Cellular Concept and Its Implementations. The Cellular Concept The cellular concept was developed and introduced by the Bell Laboratories in the early.
Doc.: IEEE a Submission November, 2003 CRL-UWB ConsortiumSlide 1 Project: IEEE P Working Group for Wireless Personal Area Networks.
A discussion on channel sensing techniques By James Xu.
MANAGEMENT INFORMATION SYSTEM
Cognitive Radio Networks
SPECTRUM SHARING IN COGNITIVE RADIO NETWORK
WiMAX 1EEE Protocol Stack
IEEE ac/af and Spectrum Sharing
Cognitive Radio Based 5G Wireless Networks
PERFORMANCE ANALYSIS OF SPECTRUM SENSING USING COGNITIVE RADIO
User Interference Effect on Routing of Cognitive Radio Ad-Hoc Networks
IEEE ac/af and Spectrum Sharing
IEEE af and Spectrum Sharing
I-Kang Fu, Paul Cheng, MediaTek
Cognitive Radio Networks
XG Communications Program Overview
MHz FCC Action Date: Authors: March 2005
An overview of the IEEE Standard
Summary of FCC’s Cognitive Radio Proceeding
Submission Title: [Regulatory Update]
April 24, Study Group 1 A Regulatory Framework for Use of TV Channels by Part 15 Devices John Notor, Cadence Design Systems, Inc.
I-Kang Fu, Paul Cheng, MediaTek
MHz FCC Action Date: Authors: May 2006 May 2006
A Future For Unlicensed Spectrum
Presentation transcript:

Adaptive Spectrum Radio: A Feasibility Platform On The Path To Dynamic Spectrum Access International Symposium On Advanced Radio Technologies 4-7 March 2003 Boulder, Colorado 5 March 2003 William D. Horne & Peter Weed The MITRE Corporation ;

New Paradigms for Spectrum  New paradigms for managing and allocating the electromagnetic spectrum is now possible due to advances in technology and a receptive environment within regulatory agencies –New technology provides a key component to this possibility as it increases the flexibility for radio transmissions to dynamically adapt and access the spectrum New paradigms Traditional Administrative Processes - Fixed licenses - Block allocations - etc. Review of Radio Spectrum Management Prof. Martin Cave March 2002 FCC Spectrum Policy Task Force Nov 2002 Ad-hoc Networking Software Defined Radios Adaptive Spectrum Access Emerging Technologies

Dynamic & Adaptive Spectrum Access  The definition of a fully “dynamic” or “adaptive” system is not clearly delineated, but the capabilities of such a system would include: –Sensing the radio frequency environment; –Controlling its transmissions based on measurements and other a priori information in an autonomous, opportunistic, and real-time fashion; –Adjusting multiple transmission parameters including, but not limited to, frequency, power, modulation, signal timing, data rate, coding rate, and antenna; and, –Operating in cooperative networked systems and/or environments with non-cooperating systems (i.e., opportunistically accessing spectrum). Increasing “adpativity” 2G/3G (e.g., EDGE) Unlicensed devices IEEE standards Future: “Fully” dynamic and adaptive DARPA neXt Generation (XG) program Dynamic Frequency Selection (DFS)

Adaptive Spectrum Operations Concept Transmit Waveform Radio Frequency (MHz) Not all spectrum used 100% of time See what’s free Spectrum Picture at T 1 Occupied Spectrum Create waveform to use free spectrum Multiple Components to waveform Monitor channels & repeat process when environment changes Waveform compatible with existing spectrum channelization plans and scalable to support wide range of user data rates using non-contiguous spectrum

Dynamic & Adaptive Spectrum Access: Benefits & Challenges  Key benefits for adaptive spectrum access include: –Improved spectrum access and utilization  By adjusting transmissions, adaptive systems can utilize unused frequencies even if they vary over time –Maintain a quality of service in a changing environment  Existing examples include EDGE –Adjust emissions to reduce or “maintain” levels of interference to other systems  Enables interference “temperature” policy concepts  Key challenge: working with regulatory community to determine appropriate “dynamic” and “adaptive” policies and parameters “Because new, smart technologies can sense the spectrum environment and because they have the agility to dynamically adapt or adjust their operations, increasing access to the spectrum for smart technologies, such as software-defined radios, can improve utilization, through more efficient access, of the radio spectrum without detriment to existing spectrum users.” [FCC Spectrum Policy Task Force]

Demonstrations on the Path to New Spectrum Policy  In order for the policy community to gain confidence in the possibilities of the new paradigms, the technology developers need to demonstrate the capabilities of the systems that enable dynamic spectrum access. –The MITRE Corporation has developed a feasibility radio platform that demonstrates the principles for dynamically accessing the spectrum  Two principal objectives for demonstrations are: –Feasibility: Inform the policy and regulatory community of the feasibility for adaptive spectrum access; and, –Policy Considerations: Identify and investigate considerations for policies using adaptive radio demonstration platforms.

Parallel Development of Policy & Technology  A parallel policy/technology development process can mutually benefit all sides by identifying issues early and by preventing contentious proceedings –By understanding the capabilities, the policy and regulatory community can better revise and update rules and procedures –By understanding policy considerations, technologists can incorporate needs early in development  Demonstrations are important component of this parallel process

Emerging Technology & Parallel Policy Example Programs  A good example of a new technology awareness program is the DOD’s Defense Information Systems Agency’s (DISA) Emerging Spectrum Technology program, led by the Defense Spectrum Office (DSO) –This project intends to proactively understand policy ramifications of new technology having military benefits to ensure that policies do not inhibit their introduction. –Contact: Rich DeSalvo, ;  Other organizations, including the FCC, are also enhancing technology awareness and engagement efforts

Policy Considerations of Demonstration Platforms  Early Adaptive Spectrum Radio platforms, such as MITRE’s, can be used to explore various policy considerations –Band/Channel Blocking  Do policies that prohibit the transmissions in specific bands or channels, even non-contiguous ones, accommodate or limit the introduction of adaptive spectrum access systems? Can different emission levels be set for different channels? –Technical Parameters.  Should policies define acceptable parameter values associated with the adaptive algorithms (e.g., time required to sense environment, time gap lengths required before “acceptable” to transmit, etc.)?  Are such policies necessary for assuring the performance of other systems? If such parameters specifications are necessary, what are the parameters that need to be defined? –Databases of Existing Use.  Do policies need to be adopted that require the availability of databases to assist the operation of adaptive spectrum access systems?  Do such radios require a priori knowledge of spectrum usage? Does a priori knowledge improve the performance and interference mitigation capability of these radios?

Future Exploration of Policy Considerations Using the Demonstration Platform  Interference Temperature. The FCC Spectrum Policy Task Force introduced the concept of “interference temperature” as a means for defining the environment in which systems must operate. –In such a regime, the defined “temperature” and the accuracy of such levels need to be defined--Should policies define permitted limits for transient interference to account for imperfections in the algorithms and protocols for accessing the spectrum? –What are the achievable sensitivity levels (i.e., margin of error) for sensing the environment? What are the achievable sensitivity levels (i.e., margin of error) when using propagation prediction?  Environments. What environments can adaptive spectrum access systems operate (e.g., dense voice traffic, radar, etc.)?  Refarming. Can the availability of adaptive spectrum access systems improve the efficiency in certain bands by introducing such systems while allowing legacy systems to continue to operate rather than to relocate them?  Secondary/Spot Markets. Can adaptive spectrum access systems enable secondary/spot market “auctions” and trading?

MITRE ASR/SDR Platform Spectrum Analyzer Test Signal Source Optional Single Freq Tx Spectrum Estimator Adaptive System Controller Transmitter / Modulator Receive Subsystem Tx/Rx Chassis Assy Combined Rx spectrum environment Implemented Radio Functions Policy controller Rx Subsystem in final implementation

MITRE’s Adaptive Spectrum Radio: Overview  Observe spectrum to detect idle channels  Adapt waveform  Implement “opportunistic” MAC

Adaptive Spectrum Approach

ASR Architecture & Design  Periodic estimation of channel’s occupancy state  Periodic adaptation of a time-limited waveform in response to occupancy state estimates  Periodic “joint occupancy vector” negotiation w/ subsequent burst data transfer  Measurement of impairments to primary users

ASR Hardware Architecture

High-Level Testbed Architecture

ASR Tx Functional Partitioning

Simulated Test Signal Spectrum

Burst Mod’ Signal Processing

Simulated Burst Mod’ Spectrum