Cooperative and cognitive strategies for interference management in wireless communication networks (COSIMA)

Type: 
Funded by: 
Miccin, Plan Nacional I+D+i, (TEC2010-19545-C04-03)
Duration: 
2011-2013

The objective of COSIMA is the development of novel communication methods at the physical layer level for the interference management in wireless communication networks. Specifically, COSIMA focuses on two paradigms that, undoubtedly, will be key ingredients of future wireless networks: cooperation and cognition. Cooperative strategies are those in which several transmitters and/or receivers coordinate among them to improve efficiency or increase their performance inside a wireless network. Representative examples of cooperative schemes to be considered in COSIMA are interference alignment, non- orthogonal medium access, computational codes, and iterative receivers. On the other hand, cognitive strategies refer to those communication paradigms in which radio terminals adapt their transmission parameters with the aim of not interfering the other transmissions in the network. These parameter adaptations are based on the channel observation or environment spectrum sensing prior to the transmission. The project will develop techniques to perform interference management in a cognitive system based on channel occupancy information obtained from a sensor network. The resulting techniques are expected to provide useable real-world strategies to protect the primary system from harmful interferences.

Publications for this project

Journal Article

2014

M. Lázaro-Gredilla, and S. Van Vaerenbergh, "A Gaussian Process Model for Data Association and a Semi-Definite Programming Solution", IEEE Transactions on Neural Networks and Learning Systems, vol. 25, issue 11, pp. 1967-1979, November, 2014. PDF icon PDF Version (394.75 KB)
Ó. González, C. Beltrán, and I. Santamaría, "A Feasibility Test for Linear Interference Alignment in MIMO Channels with Constant Coefficients", IEEE Transactions on Information Theory., vol. 60, issue 3, pp. 1840-1856, March, 2014. PDF icon PDF Version (466.59 KB)
D. Ramírez, P. J. Schreier, J. Vía, and I. Santamaría, "Testing blind separability of complex Gaussian mixtures", Signal Processing, vol. 95, issue 2, pp. 49–57, February, 2014. PDF icon PDF Version (524.56 KB)
Ó. González, C. Lameiro, and I. Santamaría, "A Quadratically Convergent Method for Interference Alignment in MIMO Interference Channels", IEEE Signal Processing Letters, vol. 21, issue 11, pp. 1423-1427, November, 2014. PDF icon PDF Version (811.96 KB)

2013

S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis", IEEE Transactions on Signal Processing, vol. 61, issue 9, pp. 2219-2230, May, 2013. PDF icon PDF Version (363.45 KB)
S. Van Vaerenbergh, I. Santamaría, and P E. Barbano, "Semi-Supervised Object Recognition Based on Connected Image Transformations", Expert Systems with Applications, vol. 40, pp. 7069--7079, December, 2013. PDF icon PDF Version (339.82 KB)

2012

S. Van Vaerenbergh, M. Lázaro-Gredilla, and I. Santamaría, "Kernel Recursive Least-Squares Tracker for Time-Varying Regression", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, issue 8, pp. 1313--1326, August, 2012. PDF icon PDF Version (861.59 KB)
Conference Paper

2014

S. Van Vaerenbergh, Ó. González, J. Vía, and I. Santamaría, "Physical Layer Authentication based on Channel Response Tracking using Gaussian Processes", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2429--2433, May, 2014. PDF icon PDF Version (376.13 KB)
I M. Park, S. Seth, and S. Van Vaerenbergh, "Probabilistic Kernel Least Mean Squares Algorithms", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2014. PDF icon PDF Version (383.6 KB)
S. Van Vaerenbergh, and L. A. Azpicueta-Ruiz, "Kernel-Based Identification of Hammerstein Systems for Nonlinear Acoustic Echo-Cancellation", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2014. PDF icon PDF Version (278.33 KB)
J. Vía, "Robust Secret Key Capacity for the MIMO Induced Source Model", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May, 2014. PDF icon PDF Version (736.59 KB)
D. Ramírez, L. L. Scharf, J. Vía, I. Santamaría, and P. J. Schreier, "An asymptotic GLRT for the detection of cyclostationary signals", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May, 2014. PDF icon PDF Version (292.46 KB)
Ó. González, J. Fanjul, and I. Santamaría, "Homotopy Continuation for Vector Space Interference Alignment in MIMO X Networks", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6232--6236, May, 2014. PDF icon PDF Version (437.09 KB)PDF icon PDF Version (2.15 MB)

2013

Ó. González, I. Santamaría, and C. Beltrán, "Finding the Number of Feasible Solutions for Linear Interference Alignment Problems", 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, pp. 384--388, July, 2013. PDF icon PDF Version (616.96 KB)
S. Van Vaerenbergh, and I. Santamaría, "A Comparative Study of Kernel Adaptive Filtering Algorithms", 2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE): IEEE, August, 2013. PDF icon PDF Version (121.63 KB)
Á. Gonzalo, and J. Pérez, "Model-free Adaptive Rate Selection in Cognitive Radio Links", 5th International Conference on Mobile Networks and Management (MONAMI), Cork, Ireland, Springer-Verlag. LNICST series, September, 2013. PDF icon PDF Version (350.6 KB)
S. Van Vaerenbergh, J. Vía, J. Manco-Vásquez, and I. Santamaría, "Adaptive Kernel Canonical Correlation Analysis Algorithms for Maximum and Minimum Variance", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May, 2013. PDF icon PDF Version (90.87 KB)
Á. Gonzalo, and J. Pérez, "Rate adaptation in cognitive radio links with time-varying channels", 21st European Signal Processing Conference (EUSIPCO), Marrakech, Morocco, European Signal Processing (EURASIP) Society, September, 2013. PDF icon PDF Version (383.09 KB)
Á. Gonzalo, and J. Pérez, "Dynamic rate adaptation in cognitive radio considering time-dependent channel access models", 8th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), Washington DC, USA, July, 2013. PDF icon PDF Version (243.49 KB)

2012

S. Van Vaerenbergh, I. Santamaría, and M. Lázaro-Gredilla, "Estimation of the Forgetting Factor in Kernel Recursive Least Squares", 2012 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), September, 2012. PDF icon PDF Version (241.23 KB)

2011

M. Lázaro-Gredilla, S. Van Vaerenbergh, and I. Santamaría, "A Bayesian Approach To Tracking With Kernel Recursive Least-Squares", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September, 2011. PDF icon PDF Version (238.14 KB)
S. Van Vaerenbergh, I. Santamaría, and P E. Barbano, "Semi-Supervised Handwritten Digit Recognition Using Very Few Labeled Data", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Prague, Czech Republic, May, 2011. PDF icon PDF Version (319.53 KB)
Book Chapter

2013

D. Luengo, and I. Santamaría, "Asymptotically Optimal Estimators for Chaotic Digital Communications", Chaotic Signal in Digital Communications, M Eisencraft, R. Attux, R. Suyama (Eds.), Boca Raton, FL, USA, CRC Press, Taylor and Francis Group, 2013. PDF icon PDF Version (331.15 KB)