Communications and Signal Processing in Adverse Scenarios

Acronym:    COMPASS
Code:    TEC2013-47020-C2-2-R
Funder:    Spanish Government
Company:    Ministerio de Economia y Competividad
Start date:    2014 January 1st
End date:    2017 December 31st
Keywords:    interference management, anomaly detection, distributed processing, spectrum sensing, compressive sensing, ACM, link adaptation, satellite communication
    
Partners:    Universidad de Vigo
SPCOM Participants:    Ferran De Cabrera Estanyol, Meritxell Lamarca Orozco, Francesc Molina Oliveras, Francesc Rey Micolau, Jaume Riba Sagarra, Josep Sala Alvarez, Gregori Vázquez Grau and Javier Villares Piera
SPCOM Responsible:    Josep Sala Alvarez

Summary

Project funded by: Ministerio de Economía y Competividad (MINECO)

The current proliferation of wireless devices, often with sensing, computation and actuation capabilities, making use of either ad-hoc or infrastructurebased
(cellular,WLAN,satellite) communication networks, with ever-increasing demands on data transfer speed and reliability, makes necessary to
enhance the robustness of such systems in stressful adverse scenarios including, on one hand, wireless "incidental" interference resulting from the
normal operation of both the network users (intra-system interference) as well as of other networks (inter-system interference); and, on the other hand,
"intentional" malfunctioning of communication and/or sensing system components in situations where an attacking entity purposefully tries to disrupt
network operation. This project addresses several aspects of these complementary problems along a number of research lines, focusing on the sensing,
physical communication, and medium access layers:

- Development of novel intra-system interference management techniques and the corresponding performance analyses for a number of settings such as
multiple access and broadcast scenarios.

- Investigation of advanced link adaptation schemes for adverse static and dynamic scenarios, including aspects such as how to dynamically estimate
link performance, make efficient use of outdated or unreliable link state information, and how to optimize system performance in the long term.

- Focus on Dynamic Spectrum Access (DSA), also known as Cognitive Radio, as the paradigm of choice for efficient spectral usage and inter-system
interference avoidance. In this framework, the key enabler for ensuring protection to other networks is Spectrum Sensing. Novel Nyquist-rate and
compressed sensing techniques will be investigated in narrowband/wideband, single-/multi-antenna settings.

- Modeling the behavior of estimation and detection algorithms based on distributed observations of the environment in the presence of acquisition
and/or communication failures and/or intentional attacks.

One of the eight challenges of the Spanish Strategy for Science, Technology and Innovation (2013-2020) is the Digital Economy and Society, also
acknowledged in the European Digital Agenda as instrumental. The envisioned activities in the present project are fully aligned with this challenge,
addressing methods and systems to improve the security and sensing capability of terminals, to optimize the spectrum efficiency and to manage
resources in especially challenging communication links.

More project information: http://futur.upc.edu/15141063

Related Journal publications

[1] J. Sala Alvarez, G. Vazquez-Vilar, R. López-Valcarce, Saeid Sedighi and Abbas Taherpour, "Multiantenna GLR Detection of Rank-One Signals with known Power Spectral Shape under Spatially Uncorrelated Noise", IEEE Transactions on Signal Processing, Vol. 64, No. 23, December 2016, pp. 6269 - 6283.

[2] Zahra Pourgharehkhan, Abbas Taherpour, J. Sala Alvarez and Tamer Khattab, "Correlated Multiple Antennas Spectrum Sensing Under Calibration Uncertainty", IEEE Transactions on Wireless Communications, Vol. 14, No. 12, July 2015, pp. 6777 - 6791.

[3] Saeid Sedighi, Abbas Taherpour, J. Sala Alvarez and Tamer Khattab, "On the Performance of Hadamard Ratio Detector Based Spectrum Sensing for Cognitive Radios", IEEE Transactions on Signal Processing, Vol. 63, No. 14, July 2015, pp. 3809 - 3824.

[4] R. López-Valcarce, Javier Villares, J. Riba Sagarra, W. Gappmair and C. Mosquera, "Cramér-Rao Bounds for SNR Estimation of Oversampled Linearly Modulated Signals", IEEE Transactions on Signal Processing, Vol. 63, No. 7, April 2015, pp. 1675 - 1683.

[5] J. Font-Segura, G. Vázquez and J. Riba Sagarra, "Single and Multi-Frequency Wideband Spectrum Sensing with Side-Information", IET Signal Processing, Vol. 8, No. 8, October 2014, pp. 831 - 843.

[6] J. Riba Sagarra, J. Font-Segura, Javier Villares and G. Vázquez, "Frequency-Domain GLR Detection of a Second-Order Cyclostationary Signal Over Fading Channels", IEEE Transactions on Signal Processing, Vol. 62, No. 8, March 2014, pp. 1899 - 1912.

[7] J. Font-Segura, G. Vázquez and J. Riba Sagarra, "Nonuniform Sampling Walls in Wideband Signal Detection", IEEE Transactions on Signal Processing, Vol. 62, No. 1, January 2014, pp. 44 - 55.

Related Conference publications

[1] Francesc Molina, J. Sala Alvarez, Javier Villares and F. Rey Micolau, "Optimal Power Control Law for Equal-Rate DS-CDMA Networks Governed by a Successive Soft Interference Cancellation Scheme", IEEE International Conference on Acoustics, Speech and Signal Processing, Accepted, April 2018, pp. 1 - 4.

[2] F. de Cabrera, J. Riba Sagarra and G. Vázquez, "Robust Estimation of the Magnitude Squared Coherence based on Kernel Signal Processing", IEEE Asilomar Conference on Signals, Systems and Computers, IEEE Asilomar Conference on Signals, Systems and Computers, November 2017.

[3] J. Borràs, J. Font-Segura, J. Riba Sagarra and G. Vázquez, "Dimension Spreading for Coherent Opportunistic Communications", IEEE Asilomar Conference on Signals, Systems and Computers, October 2017, pp. 1940 - 1944.

[4] J. Sala Alvarez, F. Rey Micolau, Javier Villares and Francesc Molina, "Minimum PER User-Energy Profile for Massive SIC Receivers under an Average Energy Constraint", IEEE International Workshop on Signal Processing Advances for Wireless Communications, The 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, July 2017, pp. 700 - 705.

[5] F. de Cabrera, J. Riba Sagarra and G. Vázquez, "Entropy-Based Covariance Determinant Estimation", IEEE International Workshop on Signal Processing Advances for Wireless Communications, July 2017, pp. 582 - 586.

[6] D. Matas and M. Lamarca, "Analysis of LDPC code syndrome entropy based on subgraphs", IEEE International Symposium on Turbo Codes and Related Topics, September 2016.

[7] Javier Villares, F. Rey Micolau and J. Sala Alvarez, "Optimum Energy Allocation for Massive Spread-Spectrum Multiple Access in Networks of Uncoordinated Energy-Limited Terminals", IEEE International Workshop on Signal Processing Advances for Wireless Communications, July 2016, pp. 1 - 5.

[8] D. Matas and M. Lamarca, "Asymptotic MAP upper bounds for LDPC codes", IEEE International Symposium on Information Theory, July 2016.

[9] R. López-Valcarce, Daniel Romero, J. Sala Alvarez and A. Pagès Zamora, "Distributed Multivariate Regression with Unknown Noise Covariance in the presence of Outliers: An MDL Approach Distributed online EM in sensor networks with faulty nodes", IEEE Workshop on Statistical Signal Processing, June 2016, pp. 1 - 5.

[10] F. Ramirez Javega and M. Lamarca, "List message passing algorithm for noiseless compressed sensing", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, December 2015.

[11] J. Sala Alvarez, Javier Villares and F. Rey Micolau, "SINR Profile for Spectral Efficiency Optimization of SIC Receivers in the Many-User Regime", IEEE International Conference on Communications, IEEE International Conference on Communications Workshop on Massive Uncoordinated Access Protocols, June 2015, pp. 10123 - 10128.

[12] J. Font-Segura, J. Riba Sagarra and G. Vázquez, "Sphericity Minimum Description Length: Asymptotic Performance Under Unknown Noise Variance", IEEE International Symposium on Information Theory, June 2015.

[13] Javier Villares, J. Sala Alvarez and F. Rey Micolau, "Interference Power Recycling in Two-Scale Ad-Hoc Wireless Networks", IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, pp. 4768 - 4772.

[14] J. Font-Segura, J. Riba Sagarra, Javier Villares and G. Vázquez, "Frequency-Domain GLR Detection of Cyclostationary Signals in Frequency-Selective Channels", IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, pp. 5769 - 5773.