Wireless Sensor Networks for Spectrum sensing and Cognitive Communication, Viktoria Fodor, Royal Institute of Technology
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Wireless Sensor Networks for Spectrum sensing and Cognitive Communication, Viktoria Fodor, Royal Institute of Technology



Presentation at the NORDITE Conference, June 2011

Presentation at the NORDITE Conference, June 2011



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Wireless Sensor Networks for Spectrum sensing and Cognitive Communication, Viktoria Fodor, Royal Institute of Technology Wireless Sensor Networks for Spectrum sensing and Cognitive Communication, Viktoria Fodor, Royal Institute of Technology Presentation Transcript

  • The design of spectrum sensing WSNs • To enable new and innovative wireless solutions • Challenge: - The large part of the radio spectrum is assigned to traditional technologies/services (like mobile networks) - Small IMF band can not accommodate all new solutions (WiFi, personal networks, sensor networks, device to device communication) • Solution: Spectrum access with cognitive radio - Dynamic spectrum access of licensed bands - Efficient spectrum sharing in open spectrum • Knowledge about spectrum availability is needed • Project objective: design of spectrum sensing wireless sensor networks - Spectrum sensing requirements - Sensor data fusion - Cooperative transmission and multihop communication - Sensing hardware design7/4/2011 Viktoria Fodor -- Nordite CROPS 2
  • Spectrum sensing requirements • For sensing accuracy sensors have to share information - Challenge: efficient sensing of transmitter with unknown location - Proposed solution: sensor density and cooperation requirements for efficient sensing • Interference level at the primary receiver have to be managed - Challenge: unknown terminal positions - Proposed solution: sum interference models that can be used to evaluate other perf. metrics • Result: requirements towards efficient sensing, data fusion and communication • Selected publications: - V. Fodor, I. Glaropoulos and L. Pescosolido, "Detecting low-power primary signals via distributed sensing to support opportunistic spectrum access," submitted to IEEE ICC, 2009. - I. Glaropoulos, V. Fodor, "On the efficiency of distributed spectrum sensing in ad-hoc cognitive radio networks," in Proc. of ACM CoRoNet 2009, September 2009 - N. H. Mahmood, F. Yilmaz, and M.-S. Alouini, “A generalized and parameterized interference model for cognitive radio networks,” in 12th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC ’11), San Francisco, USA, June 2011. - N. H. Mahmood, F. Yilmaz, M.-S. Alouini, and G. E. Øien, “On the Performance Analysis of Legacy Systems in the Presence of Next Generation Interference,” Submitted for publication (Journal), 2011.7/4/2011 Viktoria Fodor -- Nordite CROPS 3
  • Sensor data fusion • The highly correlated sensor measurements have to be collected at an aggregation point or shared by the sensors - Challenge: efficiency with low computational complexity and delay - Proposed solution: New techniques for distributed source-channel coding and quantization for orthogonal and simultaneous transmission. • Spectrum sensor data processing is easier if the location of the transmitter is known - Challenge: source localization under spatially correlated shadowing - Proposed solution: algorithms that are robust in erroneous assumptions on the channel parameters • Selected publications: - N. Wernersson, J. Karlsson and M. Skoglund, "Distributed quantizers over noisy channels," IEEE Transactions on Communications, June 2009. - N. Wernersson, M. Skoglund and T. Ramstad, "Polynomial based analog source-channel codes," IEEE Transactions on Communications, September 2009. - N. Wernersson and M. Skoglund, "Nonlinear coding and estimation for correlated data in wireless sensor networks," IEEE Transactions on Communications, October 2009. - J. Karlsson and M. Skoglund, "Optimized low-delay source-channel-relay mappings," IEEE Transactions on Communications, May 2010. - John T. Flåm, Ghassan M. Kraidy and Daniel J. Ryan: “Using a Sensor Network to Localize a Source under Spatially Correlated Shadowing”, IEEE VTC Taipei 2010. - John T. Flåm, Joakim Jaldén and Saikat Chatterjee: “Gaussian mixture modeling for source localization”, IEEE ICASSP 2011.7/4/2011 Viktoria Fodor -- Nordite CROPS 4
  • Cooperative transmission • Sensor and relay nodes need to collaborate in the transmission of data to improve energy-efficiency - Challenge: Joint optimization gives gains, but can be complex and sensitive to design assumptions - Proposed solution: New collaborative transmission protocols based on relaying. Improved performance and significant energy-saving demonstrated • In case of simultaneous transmissions the power allocation has to be fair and efficient - Challenge: computational complexity and signaling overhead has to be low, interference has to be maintained - Proposed solution: Distributed power allocation based on novel utility functions • Selected publications: - S. Yao and M. Skoglund, "Hybrid digital-analog relaying for cooperative transmission over slow fading channels," IEEE Transactions on Information Theory, March 2009 - M. Khormuji and M. Skoglund, "On instantaneous relaying," IEEE Transactions on Information Theory, vol. 56, no. 7, pp. 3378-3394, July 2010. - J. Karlsson and M. Skoglund, "Design and performance of optimized relay mappings," IEEE Transactions on Communications, vol. 58, no. 9, pp. 2718-2724, September 2010. - N. H. Mahmood, U. Salim, G. E. Øien, “Relative Rate Utility based Distributed Power Allocation Algorithm for Cognitive Radio Network,” Poster presented in 2011 IEEE Communication Theory Workshop (CTW’11), Sitges, Spain, June 2011.7/4/2011 Viktoria Fodor -- Nordite CROPS 5
  • Networking for spectrum sensing • Routing for optimum overall energy efficiency to increase network lifetime - Challenge: existing solutions are too complex (NP-hard) - Proposed solution: adaptive routing and transmission control heuristics based on novel utility function • Applying cooperative transmission techniques in mesh networks - Challenge: cooperative transmission may increase interference in the networks - Proposed solution: co-optimized relaying and channel access scheme • Selected publications: - L. Yin, C. Wang, and G. E. Øien, “An Energy-Efficient Routing Protocol for Event-Driven Dense Wireless Sensor Networks,” Springer International Journal of Wireless Information Networks, 2009 (invited paper). - C. Wang, L. Yin, and G. E. Øien, "Energy-Efficient Route Configuration for Adaptive MPSK-Based Wireless Sensor Networks,” EURASIP Journal of Wireless Communications and Networking, 2011. - Liping Wang, Viktoria Fodor, Mikael Skoglund, Using cooperative transmission in wireless Multihop Networks, in Proc. of IEEE International Symposium On Personal, Indoor and Mobile Radio Communications, September 2009 - Liping Wang, Viktoria Fodor, Cooperative geographic routing in wireless mesh networks, in Proc. of IEEE International Workshop on Enabling Technologies and Standards for Wireless Mesh Networking (MeshTech), November 20107/4/2011 Viktoria Fodor -- Nordite CROPS 6
  • Sensing radio HW design• Sensing HW needs to be able to sense narrow band channels over a wide spectrum range - Challenge: • Radio HW capable of receiving in broad frequency range does not exist - Proposed solution: CROPS implementation of WB synthesizer • Outperforms recently proposed solutions considering tuning range, energy consumption and noise • 12th most downloaded paper in IEEE Aug. 2010 High Linearity Receiver ( SENDORA project) Algorithm HW Implementation ( SENDORA project) Hardware Description Methods for System Development (CROPS project)• 2 patent applications Wideband ADPLL ( CROPS project)• Selected publications: - A. Immonen, A. Pärssinen, S. Kiminki, V. Hirvisalo, M. Talonen and J. Ryynänen, "A Reconfigurable Multi-standard Radio Platform", International Workshop on Energy Efficient and Reconfigurable Tran-sceivers, September, 2010 - L. Xu, K. Stadius, and J. Ryynänen, "A wide-band digitally controlled ring oscillator," in proc Int. Symp. Circuits Syst., May 2010, pp. 1983-1986. - L. Xu, S. Lindfor, K. Stadius and J. Ryynänen, "A 2.4-GHz low-power all-digital phase-locked loop," IEEE J. Solid-State Circuits, vol. 45, no. 8, pp. 1513-1521, Aug. 2010. Viktoria Fodor – Nordite, June 2011 7
  • Relevance • Scientific content - New insights into the design of energy-efficient wireless sensor networks - With application to spectrum sensing • Collaboration - New highly successful Nordic research collaboration that would not have happened otherwise • High volume of research results and publications • Visits and co-authored papers • Several graduated PhD’s • Spin-off projects, e.g. the EU/Fp7 projects “SENDORA”7/4/2011 Viktoria Fodor -- Nordite CROPS 8
  • Exploitation • What could be exploited by industry now? - The concepts of cooperative sensing and transmission - New wireless sensor network design principles and applications - Improved spectrum sensing HW for opportunistic spectrum sharing (2 patent applications) • What steps are missing to make the results available for the industry? - Some of our results need to be tested in more realistic practical scenarios - Some of our suggested schemes do not fit present standards • What kind of partners would we need for this? - Telecom (Ericsson, Telenor) - Industrial automation (ABB) - System integrators and sensor developers7/4/2011 Viktoria Fodor -- Nordite CROPS 9