Honggang ZHANG, Professor, Ph.D. Zhejiang University ... · cellular concept and enrich it by...
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15/12/2008 15/12/2008 Honggang ZHANG, Professor, Ph.D. Zhejiang University, China December 9, 2008 EURECOM, Sophia-Antipolis, France (Joint-work with Dr. Tao Chen & Dr. Marcos Katz, VTT, Finland )
Transcript of Honggang ZHANG, Professor, Ph.D. Zhejiang University ... · cellular concept and enrich it by...
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Honggang ZHANG, Professor, Ph.D.Zhejiang University, China
December 9, 2008 EURECOM, Sophia-Antipolis, France
(Joint-work with Dr. Tao Chen & Dr. Marcos Katz, VTT, Finland)
Future Communications & Networking: Heterogeneity, Convergence, Mobility & Openness
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Bottleneck Problem: Spectrum Resource Scarcity
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Cognitive Radio Wireless Networking: A Gathering Storm?
Ø IEEE (http://www.ieeeusa.org/forum/POSITIONS/cognitiveradio.html): “A Cognitive Radio is a radio frequency transmitter/receiver that is designed “A Cognitive Radio is a radio frequency transmitter/receiver that is designed to intelligently detect whether a particular segment of the radio spectrum is currently in use, and to jump into (and out of, as necessary) the temporarily-unused spectrum very rapidly, without interfering with the transmissions of other authorized users.” à Dynamic Spectrum Access
Ø FCC (FCC NPRM, Dec 17, 2003, ET-03-108):“A cognitive radio (CR) is a radio that can change its transmitter parameters based on interaction with the environment in which it operates. This interaction may involve active negotiation or communications with other
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interaction may involve active negotiation or communications with other spectrum users and/or passive sensing and decision making within the radio.”
Ø NTIA (National Telecommunications and Information Administration) definition: “A radio or system that senses its operational electromagnetic
Cognitive Radio Wireless Networking: A Gathering Storm? (cont.)
“A radio or system that senses its operational electromagnetic environment and can dynamically and autonomously adjust its radio operating parameters to modify system operation, such as maximize throughput, mitigate interference, facilitate interoperability, access secondary markets.”
Ø Extended definition for science and engineering community:§ “Adaptive, multi-dimensionally environment-aware, autonomous
radio system that learns from its experiences to reason, plan, and decide future actions to meet user needs.”
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decide future actions to meet user needs.Ӥ Cognition Рthe act or process of knowing, including awareness,
perception, memory, and judgment.
How does a Cognitive Radio Get so Smart?How does a Cognitive Radio Get so Smart?
15/12/200815/12/2008Joseph Mitola, “Cognitive Radio for Flexible Mobile Multimedia Communications”, IEEE Mobile Multimedia Conference, 1999, pp3-10
Various Philosophies of Cognitive Radio & Networks
[Simon Haykin, 2005]
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[UC Davis, 2007]
How does Cognition Cycle Work?Ø Cognitive Radio & Networking
ü Input - Decision Making -ActionAction
§ Environment awareness (Input)☑ External stimuli☑ Sensing
§ Interpretation & Learning (Decision Making)☑ Reasoning☑ Interpretation☑ Learning
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☑ Learning§ Implementation of
Decision (Action)☑ Actuation☑ Parameter change
Basics of Cognitive RadioØ Cognitive Radio & Networking
ü Input - Decision Making -Action
ü Input - Decision Making -Action
§ Environment awareness (Input)☑ External stimuli☑ Sensing
§ Interpretation & Learning (Decision Making)☑ Reasoning☑ Interpretation☑ Learning
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☑ Learning§ Implementation of
Decision (Action)☑ Actuation☑ Parameter change
Ø Cognitive Radio & Networking can detect its operating wireless environment and learn how to adapt and evolve
Ø Cognitive Radio & Networking can adjust itself to handle
Promises of Cognitive Radio Wireless Networking
Ø Cognitive Radio & Networking can adjust itself to handle anticipated and unapticipated wireless channels and environments
Ø Cognitive Radio & Networking requires:
à Sensingà Learning & Actionà Adaptation & Evolution
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Ø Cognitive Radio & Networking can achieve an expected quality of service (smart transmiting/relaying node) as well as mitigate interference to neighboring radios (smat receiving/cooperative node)
Milestones for Future Cognitive Radio Wireless Networks
15/12/200815/12/2008Courtesy of Dr. Jim Hoffmeyer
Paradigm Change: Key Roles of Cognitive Radio (CR)(heterogeneity, convergence, mobility & openness)
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Why does Cognitive Wireless Mesh Networking Make a Sense?
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Various Wireless Mesh Networking Application Scenarios
15/12/200815/12/2008Source: Broadband Wireless Networking Lab, Georgia Tech,
http://www.ece.gatech.edu/research/labs/bwn/substation/
CogMesh: Cognitive Wireless Mesh Networking (1)Cognition, Cooperation (altruistic or non-altruistic) and Competition are the basis to break up the cellular concept cellular concept and enrich it by multi-hop, peer-to-peer (end-to-end), grid or cloud functionalities.
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ü A tendency to evolve the CR concept towards Cognitive Networks. ü So, is Cognitive Mesh a necessary step/bridge towards the ideal Cognitive Networking paradigm?
CogMesh: Cognitive Wireless Mesh Networking (2)
Topology Management Trees in CogMesh in CogMesh
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CogMesh Nodes
Graph Theory has 250 Years of History!
15/12/200815/12/2008Source: Prof. Fan Chung, “The Mathematics of PageRank,” University of California, San Diego.
Graph Theory has 250 Years of History (cont.)
15/12/200815/12/2008Source: Prof. Fan Chung, “The Mathematics of PageRank,” University of California, San Diego.
CogMesh: A Case Study Achieving Dynamic Spectrum Access
15/12/200815/12/2008Note: USA NAVY SBIR FY08.2 Proposal Submission Instructions, N08-197, Title: “Topology
Management for Directional Antenna-based Networks” (May 2008)
CogMesh: A Cluster-based Cognitive Radio Network (1)
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CogMesh: A Cluster-based Cognitive Radio Network (2)
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Spectrum-agile Common Control Channel (Master Channel) Assignment and Channel Cloud in CogMesh
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Spectrum-agile Common Control Channel Assignment Algorithm in CogMesh
Source: Tao Chen, Honggang Zhang, G. M. Maggio, and I. Chlamtac, “CogMesh: A Cluster-Based Cognitive Radio Network,” IEEE DySPAN 2007.
Dynamic Topology Control/Management in CogMesh
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Dynamic Topology Control/Management in CogMesh (Node Association & Channel Selection)
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Bio-inspired Cognitive Radio (Swarm Intelligence) Approaches for CogMesh
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Ø Bottom-up approach for solving problems of complex systems
Ø Limited local information and no global knowledge of the structure
Ø Collective complexity out of individual simplicity: “Union makes Force”
Features & Advantages of Swarm Intelligence
Ø Collective complexity out of individual simplicity: “Union makes Force”
Ø A natural model of distributed problem solving: no external guidance or central control à Fully distributed control
Ø Individuals follow only a few simple behavioral rules (limited cognitive capabilities)
Ø Emergence: each individual has only a limited set of behavioral and the colony as a whole exhibits a complex structure à Power of interactions
Ø Activity coordination:ü Self-organization
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ü Self-organizationü Explicit (direct) local communication (peer-to-peer)ü Implicit (indirect) communication through the environment (stigmergy)
Ø Self-organization, scalability (works even for an important number of entities), flexibility (environment adaptation), and robustness (structures spontaneously re-form in case of mistakes or variation in number of entities)
Source: Tao Chen, Honggang Zhang, M. Katz, and Z. Zhou, “Swarm Intelligence Based Dynamic Control Channel Assignment in CogMesh,” IEEE ICC 2008 Workshops.
Swarm Intelligence Based Spectrum-agile Control Channel Assignment Algorithm (Channel Cloud) in CogMesh
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Spectrum-agile Control Channel Assignment Algorithm Based on Swarm
Intelligence
Swarm Intelligence Based Spectrum-agile Control Channel Assignment Algorithm (Channel Cloud) in CogMesh (cont.)
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Bio-inspired Cognitive Radio (Swarm Intelligence) for Networking-Efficiency in Vehicular CogMesh Environment
CogMesh based transportation demand management systems can cut down greenhouse gases produced by cars and greenhouse gases produced by cars and trucks and improve networking performance by leveraging location-based services, unified communications services, mobile resource management systems, and fleet management systems.
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The Paramount Picture of CogMesh
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Technical Dimensions of Cognitive Wireless Mesh Networks
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Cognitive Radio Wireless Networks Projects in Europe (FP7)
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Research Advancement on Cognitive Radio & Networks in Europe (E2R Project)
15/12/200815/12/2008Source: E2R Project
Cognitive Radio Standardization: IEEE SCC 41 (IEEE P1900), IEEE 802.22, and IEEE 802.16h
15/12/200815/12/2008Courtesy of Dr. Jim Hoffmeyer
Ø IEEE SCC 41 (IEEE P1900) Subgroups:§ IEEE Working Group 1900.1 - Standard Dictionary of Terms, Definitions and Concepts for
Spectrum Management, Policy Defined Radio, Cognitive Radio and Software Defined Radio§ IEEE Working Group 1900.2 - Recommended Practice for Interference and Coexistence
Analysis
IEEE SCC 41 (IEEE P1900) - Dynamic Spectrum Access Networks
Analysis§ IEEE Working Group 1900.3 - Recommended Practice for Conformance Evaluation of
Software Defined Radio (SDR) Software Modules using Formal Concepts and Methods Analysis
§ IEEE Working Group 1900.4 – Cohabitation of Heterogeneous Wireless Systems by defining a relevant Distribution of Cognitive Functions between the Network and the User-terminal (Supported by E2R Project)
§ IEEE Study Group A - Dependability and Evaluation of Regulatory Compliance for Radio Systems with Dynamic Spectrum Access
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Appendix 1: Cognitive Radio/Networks related Research Results & Achievements
Book & Book Chapter Publications1. Xiaofei Zhou and Honggang Zhang, Cognitive Radio: Theories and Applications, BUPT
Press, Beijing, ISBN: 7-5635-1358-2, 2007 (The first book on Cognitive Radio & 1. Xiaofei Zhou and Honggang Zhang, Cognitive Radio: Theories and Applications, BUPT
Press, Beijing, ISBN: 7-5635-1358-2, 2007 (The first book on Cognitive Radio & Networking in Chinese).
2. Tao Chen, Honggang Zhang, Xiaofei Zhou, Gian Mario Maggio, and Imrich Chlamtac, “CogMesh: A Cluster Based Cognitive Radio Mesh Network,” Cognitive Wireless Networks: Concepts, Methodologies and Visions, edited by Frank Fitzek and Marcos Katz, Springer, ISBN: 978-1-4020-5978-0, 2007.
3. Honggang Zhang, Xiaofei Zhou, and Tao Chen, “Ultra-Wideband Cognitive Radio for Dynamic Spectrum Accessing Networks,” Cognitive Radio Networks, edited by Yang Xiao and Fei Hu, CRC Press, 2008.
Journal Publications
1. Honggang Zhang, Xiaofei Zhou, K. Y. Yazdandoost, and Imrich Chlamtac, “Multiple Signal
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1. Honggang Zhang, Xiaofei Zhou, K. Y. Yazdandoost, and Imrich Chlamtac, “Multiple Signal Waveforms Adaptation in Cognitive Ultra-Wideband Radio Evolution,” IEEE Journal on Selected Areas of Communications (IEEE-JSAC), vol. 24, no. 4, pp. 878-884, April 2006.
2. F. Granelli, Honggang Zhang, Xiaofei Zhou, and S. Maranò, “Research Advances in Cognitive Ultra Wide Band Radio and their Applications to Sensor Networks,” ACM/Springer Journal on Mobile Networks and Applications (MONET), vol.11, Issue 4, pp. 487-499, August 2006.
3. Chihong Cho, Honggang Zhang, Masao Nakagawa, “A Short-Delay Relay Scheme Using Shared Frequency Repeater for UWB Impulse Radio,” IEICE Trans. Fundamentals of Electronics, Communications and Computer Sciences, E90-A, pp. 1444-1451, July 2007.
Conference Publications1. Tao Chen, Honggang Zhang, and Marco Katz, “CogMesh: Cognitive Wireless Mesh Networks” Proc. the
IEEE Globecom2008 Workshop (IEEE Workshop on Wireless Mesh and Sensor Networks), December 2008, New Orleans, USA.
Appendix 2: Cognitive Radio/Networks related Research Results & Achievements
2008, New Orleans, USA.2. Tao Chen, Honggang Zhang, Marco Katz, and Zheng Zhou, “Swarm Intelligence Based Dynamic Control
Channel Assignment in CogMesh,” Proc. the IEEE ICC 2008 (IEEE CoCoNet’08 Workshop), May 19-23, 2008, Beijing, China.
3. Tao Chen, Honggang Zhang, Gian Mario Maggio, and Imrich Chlamtac, “Topology Management in CogMesh: A Cluster-based Cognitive Radio Mesh Network,” Proc. the IEEE ICC 2007 Workshop (IEEE CogNet 2007 Workshop), June 24-28, 2007, Glasgow, UK.
4. Tao Chen, Honggang Zhang, Gian Mario Maggio, and Imrich Chlamtac, “CogMesh: A Cluster-based Cognitive Radio Network,” Proc. the 2007 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN 2007), April 17-20, 2007, Dublin, Ireland.
5. Xiaofei Zhou, Honggang Zhang, and Imrich Chlamtac, “Transmit Power Allocation among Orthogonal Pulse Wavelets for BER Performance Improvement in Cognitive UWB Radio,” Proc. the First IEEE Workshop on Cognitive Radio Networks (CCNC 2007 Workshop), January 11-13, 2007, Las Vegas, USA.
6. Xiaofei Zhou, Honggang Zhang, and Imrich Chlamtac, “Transmit Power Allocation among PSWF-based
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6. Xiaofei Zhou, Honggang Zhang, and Imrich Chlamtac, “Transmit Power Allocation among PSWF-based Pulse Wavelets in Cognitive UWB Radio,” Proc. First International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2006), Mykonos Island, Greece, June 2006.
7. Tao Chen, Honggang Zhang, and Imrich Chlamtac, “High Speed Orthogonal Waveform Based Indoor Wireless Transmission by UWB and 60 GHz Dual Band System,” Proc. 3rd IEEE International Symposium on Wireless Communication Systems (ISWCS’06), Valencia, Spain, September 2006.
8. F. Granelli and Honggang Zhang, “Cognitive Ultra Wide Band Radio: A Research Vision and Its Open Challenges,” Proc. 2nd International Workshop on Networking with Ultra Wide Band and Workshop on Ultra Wide Band for Sensor Networks (NEUWB2), Rome, Italy, pp. 55-59, July 2005.
9. Xiaofei Zhou, K. Y. Yazdandoost, Honggang Zhang, and Imrich Chlamtac, “Cognospectrum: Spectrum Adaptation and Evolution in Cognitive Ultra-Wideband Radio,” Proc. 2005 IEEE International Conference on Ultra-Wideband (ICU 2005), Zurich, Switzerland, September 2005.
Appendix 3: CrownCom 2006-2009 (International Conference on Cognitive Radio Oriented Wireless Networks and
Communications)
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Thank You !Honggang ZHANG, Professor, Ph.D.
Department of Information Science & Electronic EngineeringZhejiang University, China
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Zhejiang University, ChinaEmail: [email protected]
Tao Chen, Ph.D., Marcos Katz, Ph.D.VTT, Finland
Email: [email protected] , [email protected]
