Communications and Signal Processing in Adverse Scenarios
|Company:||Ministerio de Economia y Competividad|
|Start date:||2014 January 1st|
|End date:||2016 December 31st|
|Keywords:||interference management, anomaly detection, distributed processing, spectrum sensing, compressive sensing, ACM, link adaptation, satellite communication|
|Partners:||Universidad de Vigo|
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link performance, make efficient use of outdated or unreliable link state information, and how to optimize system performance in the long term.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.
Latest Related Journal publications
 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, December 2016, pp. 6269 - 6283. | Details | Full document | BibTex
 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, July 2015, pp. 6777 - 6791. | Details | Full document | BibTex
 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, July 2015, pp. 3809 - 3824. | Details | Full document | BibTex
Latest Related Conference publications
 M. Lamarca Orozco and D. Matas, "Analysis of LDPC code syndrome entropy based on subgraphs", IEEE International Symposium on Turbo Codes and Related Topics, September 2016. | BibTex
 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. | Details | Full document | BibTex
 M. Lamarca Orozco and D. Matas, "Asymptotic MAP upper bounds for LDPC codes", IEEE International Symposium on Information Theory, July 2016. | BibTex