Advanced Signal Processing Techniques for Cognitive Radio Systems - II
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


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.

Latest Related 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, November 2013, pp. 5754 - 5766. | Details | Full document | BibTex

[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, November 2010, pp. 5767 - 5778. | Details | BibTex

[3] D. Matas and M. Lamarca Orozco, "Optimum power allocation and bit loading for BICM systems", IEEE Transactions on Communications, Vol. 58, August 2010, pp. 2314 - 2323. | Details | Full document | BibTex

Latest Related Conference publications

[1] F. Ramirez Javega, M. Lamarca Orozco 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. | Details | Full document | BibTex

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

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

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