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Advanced Signal Processing Techniques for Cognitive Radio Systems - II

Acronym:    SPROACTIVE-II
Code:    TEC2007-68094-C02-02/TCM
Funder:    Spanish Government
Start date:    2007 December 1st
End date:    2010 November 30th
    
Partners:    Universidad de Vigo
SPCOM Participants:    Josep Font Segura, Meritxell Lamarca Orozco, David Matas, Francisco Ramirez Javega, Francesc Rey Micolau, Jaume Riba Sagarra, Josep Sala Alvarez, Gregori Vázquez Grau and Javier Villares Piera
SPCOM Responsible:    Javier Villares Piera

Summary

This proposal is devoted to the design of highly efficient wireless communication systems using dynamic spectrum access. This paradigm results in better usage of the radio resource but requires transceivers with cognitive capabilities (“Cognitive Radio”) in order to ensure coexistence with other services in the same frequency band. This requirement poses a series of design challenges for the physical and medium access control layers of such Cognitive Radio networks:

  • Communication must be done without disturbing the operation of other services with higher priority. Thus intelligent interference management and control are required.
  • In turn, interference control requires spectrum sensing capabilities in order to gather the necessary information about those services with higher priority in a reliable manner.
  • Methods to quantify these requirements must be developed, together with techniques to effectively translate such requirements into transceiver configurations.

The lines of research included in this proposal are related to different problems stemming from the above issues. Specifically, signal processing and communication system design tools will be applied to development of the following:

  • Local sensing techniques: each individual Cognitive Radio must be able to sense the environment in harsh conditions (interference, low SNR). Thus robustness is critical.
  • Distributed sensing techniques: the Cognitive Radio network should include distributed estimation and detection capabilities, as well as node location, in order to improve the quality of its environment related knowledge. The hidden station problem is a most prominent example. Data fusion rules for this particular environment must be devised.
  • High performance transmission techniques: in order to achieve the required throughputs, advanced schemes such as cooperative strategies, transmission with side information, exploiting channel status information, and source-channel coding, should be all tailored to the strict interference constraints found in Cognitive Radio operation.

Journal publications

[1] Saeid Sedighi, Abbas Taherpour and J. Sala Alvarez, "Spectrum Sensing Using Correlated Receiving Multiple Antennas in Cognitive Radios", IEEE Transactions on Wireless Communications, Vol. 12, No. 11, November 2013, pp. 5754 - 5766.

[2] J. Riba Sagarra, Javier Villares and G. Vázquez, "A Nondata-Aided SNR Estimation Technique for Multilevel Modulations Exploiting Signal Cyclostationarity", IEEE Transactions on Signal Processing, Vol. 58, No. 11, November 2010, pp. 5767 - 5778.

[3] D. Matas and M. Lamarca, "Optimum power allocation and bit loading for BICM systems", IEEE Transactions on Communications, Vol. 58, No. 8, August 2010, pp. 2314 - 2323.

[4] J. Font-Segura and X. Wang, "GLRT-Based Spectrum Sensing for Cogntive Radio with Prior Information", IEEE Transactions on Communications, Vol. 58, No. 7, July 2010, pp. 2137 - 2146.

[5] F. Rey Micolau, M. Lamarca and G. Vázquez, "Linear Precoder Design Through Cut-Off Rate Maximization in MIMO-OFDM Coded Systems With Imperfect CSIT", IEEE Transactions on Signal Processing, IEEE TRANSACTIONS ON SIGNAL PROCESSING,, Vol. 58, No. 3, March 2010, pp. 1741 - 1755.

[6] F. Rey Micolau, M. Lamarca and G. Vázquez, "Adaptive Interleaver Based on Rate-Compatible Punctured Convolutional Codes", IEEE Transactions on Communications, Vol. 57, No. 6, June 2009, pp. 1593 - 1598.

[7] J. Sala Alvarez, A. Urruela Planas, Javier Villares, J. Romeu, S. Blanch, R. Estalella and J. M. Paredes, "Pulsar Navigation", Acta Futura, Vol. 4, No. 4, December 2008, pp. 94 - 101.

[8] S. Valentin, H. S. Lichte, H. Karl, S. Simoens, G. Vivier, J. Vidal and A. Agustin de Dios, "Cooperative wireless networking beyond store-and-forward: Perspectives in PHY and MAC design", Wireless Personal Communications, Special issue on Serving and Managing Users in a Heterogeneous B3G Wireless World: Requirements, New Research Challenges, Emerging Solutions, March 2008.

Conference publications

[1] F. Ramirez Javega, M. Lamarca and Javier Villares, "Binary Graphs and Message Passing Strategies for Compressed Sensing in the Noiseless Setting", IEEE International Symposium on Information Theory, July 2012, pp. 1 - 5.

[2] F. Ramirez Javega, D. Matas and M. Lamarca, "Adaptive Sampling for Fast Sparsity Pattern Recovery", European Signal Processing Conference, August 2011, pp. 348 - 352.

[3] F. Ramirez Javega and M. Lamarca, "Variable-Length Source Compression Using Successive Refinement and Non-linear Graph-Based Codes", Data Compression Conference, March 2011.

[4] D. Matas, M. Lamarca and J. Garcia-Frias, "Non-Linear Graph-Based Codes for Joint Source-Channel Coding", International Symposium on Turbo Codes & Iterative Information Processing, September 2010.

[5] F. Ramirez Javega, M. Lamarca and J. Garcia-Frias, "Progressive encoding with non-linear source codes for compression of low-entropy sources", International Symposium on Turbo Codes & Iterative Information Processing, September 2010.

[6] R. López-Valcarce, G. Vazquez-Vilar and J. Sala Alvarez, "Multiantenna spectrum sensing for Cognitive Radio: overcoming noise uncertainty", International Workshop on Cognitive Information Processing, June 2010, pp. 1 - 6.

[7] D. Matas, M. Lamarca and J. Garcia-Frias, "Non-linear graph-based codes for source coding", IEEE Information Theory Workshop, October 2009.

[8] M. Lamarca, "Linear precoding for mutual information maximization in MIMO systems", IEEE Information Theory Workshop, Intl. Symposium on Wireless Communication Systems, September 2009.

[9] Y. Hu, J. Garcia-Frias and M. Lamarca, "MMSE Decoding for Analog Joint Source Channel Coding Using Monte Carlo Importance Sampling", IEEE International Workshop on Signal Processing Advances for Wireless Communications, June 2009.

[10] D. Matas and M. Lamarca, "Optimum Power Allocation and Bit Loading with Code Rate Constraints", IEEE International Workshop on Signal Processing Advances for Wireless Communications, June 2009.

[11] Y. Hu, J. Garcia-Frias and M. Lamarca, "Analog Joint Source Channel Coding Using Space-Filling Curves and MMSE Decoding", Data Compression Conference, March 2009.

[12] F. Rey Micolau, M. Lamarca, J. Lopez-Salcedo, J. Riba Sagarra, J. Sala Alvarez, G. Vázquez, Javier Villares and I. Aad, "DA-GLRT burst detection and synchronization based on a chirp-like preamble", ESA International Workshop on Signal Processing for Space Communications, October 2008.