References of "Lagunas, Eva 50002156"
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See detailResource Allocation for Cognitive Satellite Communications with Incumbent Terrestrial Networks
Lagunas, Eva UL; Sharma, Shree Krishna UL; Maleki, Sina UL et al

in IEEE Transactions on Cognitive Communications and Networking (2015)

The lack of available unlicensed spectrum together with the increasing spectrum demand by multimedia applications has resulted in a spectrum scarcity problem, which affects Satellite Communications ... [more ▼]

The lack of available unlicensed spectrum together with the increasing spectrum demand by multimedia applications has resulted in a spectrum scarcity problem, which affects Satellite Communications (SatCom) as well as terrestrial systems. The goal of this paper is to propose Resource Allocation (RA) techniques, i.e. carrier, power and bandwidth allocation, for a cognitive spectrum utilization scenario where the satellite system aims at exploiting the spectrum allocated to terrestrial networks as the incumbent users without imposing harmful interference to them. In particular, we focus on the microwave frequency bands 17.7-19.7 GHz for the cognitive satellite downlink and 27.5-29.5 GHz for the cognitive satellite uplink, although the proposed techniques can be easily extended to other bands. In the first case, assuming that the satellite terminals are equipped with multiple Low Block Noise Converters (LNB), we propose a joint beamforming and carrier allocation scheme to enable cognitive Space-to-Earth communications in the shared spectrum where Fixed Service (FS) microwave links have priority of operation. In the second case, however, the cognitive satellite uplink should not cause harmful interference to the incumbent FS system. For the latter, we propose a Joint Power and Carrier Allocation (JPCA) strategy followed by a bandwidth allocation scheme which guarantees protection of the terrestrial FS system while maximizing the satellite total throughput. The proposed cognitive satellite exploitation techniques are validated with numerical simulations considering realistic system parameters. It is shown that the proposed cognitive exploitation framework represents a promising approach for enhancing the throughput of conventional satellite systems. [less ▲]

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See detailThrough-the-Wall Radar Imaging for Heterogeneous Walls using Compressive Sensing
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia

in International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Pisa, Italy, 16-19 June 2015 (2015, June)

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See detailResource Allocation for Cognitive Satellite Communications in Ka-band (17.7-19.7 GHz)
Sharma, Shree Krishna UL; Lagunas, Eva UL; Maleki, Sina UL et al

in Proceedings of International Conference on Communications (ICC) (2015, June)

In this paper, we consider the problem of resource allocation in the context of cognitive Satellite Communications (SatCom). In particular, we focus on the cognitive downlink access by Geostationary (GEO ... [more ▼]

In this paper, we consider the problem of resource allocation in the context of cognitive Satellite Communications (SatCom). In particular, we focus on the cognitive downlink access by Geostationary (GEO) Fixed Satellite Service (FSS) terminals in the band 17.7-19.7 GHz, where the incumbent users are Fixed-Service (FS) microwave links. Assuming a multiple Low Noise Block Converter (LNB) satellite receiver at the cognitive FSS terminal-side, an efficient receive beamforming technique combined with carrier allocation is proposed in order to maximize the overall downlink throughput as well as to improve the beam availability. The proposed cognitive exploitation framework allows the flexibility of using non-exclusive spectrum for the FSS downlink system, thus improving the overall system throughput. More importantly, the proposed approach is validated with the help of numerical results considering realistic system parameters. [less ▲]

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See detailSpectrum Awareness and Exploitation for Cognitive Satellite Communications
Guidotti, Alessandro; Icolari, Vincenzo; Tarchi, Danielle et al

in European Conference on Networks and Communications (EuCNC), Paris, France, Jun 2015. (2015)

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See detailSpectral Feature Detection with sub-Nyquist Sampling for Wideband Spectrum Sensing
Lagunas, Eva UL; Nájar, Montse

in IEEE Transactions on Wireless Communications (2015)

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See detailDistributed Power Control with Received Power Constraints for Time-Area-Spectrum Licenses
Pérez-Neira, Ana; Veciana, Joaquim; Vázquez, Miguel Angel et al

in Signal Processing (2015)

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See detailExtending the Usable Ka Band Spectrum for Satellite Communications: The CoRaSat Project
Evans, Barry; Thompson, Paul; Lagunas, Eva UL et al

in Advanced Next Generation Broadband Satellite Systems Workshop, International Conference on Wireless and Satellite Systems (WiSATS, formerly PSATS), Bradford, UK, July 2015. (2015)

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See detailCompressive Spectrum Sensing in the Presence of Multiple Primary Users and Interference: Comparison of Sparse Reconstruction Strategies
Lagunas, Eva UL; Najar, Montse

in European Signal Processing Conference (EUSIPCO) (2014, September)

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See detailRobust Primary User Identification using Compressive Sensing for Cognitive Radios
Lagunas, Eva UL; Najar, Montse

in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) (2014, May)

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See detailSpatial Sparsity Based Direct Positioning for IR-UWB in IEEE 802.15.4a Channels
Lagunas, Eva UL; Najar, Montse; Navarro, Monica et al

in IEEE Int. Conf. UltraWide-Band (ICUWB) (2014)

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See detailPattern Matching for Building Feature Extraction
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in IEEE Geoscience and Remote Sensing Letters (2013)

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See detailCorrelation Matching Approach for Through-Wall Corner Detection
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in Int. Workshop on Compressive Sensing Applied to Radar (CoSeRa) (2013, September)

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See detailCompressive Spectrum Sensing Based on Spectral Feature Detection
Lagunas, Eva UL; Najar, Montse

in International Symposium on Wireless Communication Systems (ISWCS) (2013, August)

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See detailImproved Interior Wall Detection Using Designated Dictionaries in Compressive Urban Sensing Problems
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in SPIE Symposium on Defense, Security, and Sensing, Compressive Sensing Conference (2013, April)

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See detailDetermining Building Interior Structures Using Compressive Sensing
Lagunas, Eva UL; Amin, Moenes; Ahmad, Fauzia et al

in SPIE Journal of Electronic Imaging (2013)

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See detailJoint Wall Mitigation and Compressive Sensing for Indoor Image Reconstruction
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in IEEE Trans. on Geoscience and Remote Sensing (2012)

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See detailSparsity-Based Radar Imaging of Building Structures
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in European Signal Processing Conference (EUSIPCO) (2012, August)

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See detailCompressive Sensing for Through-the-Wall Radar Imaging of Stationary Scenes using Arbitrary Data Measurements
Lagunas, Eva UL; Amin, Moeness; Ahmad, Fauzia et al

in International Conference On Information Science, Signal Processing and their Applications (ISSPA), Montreal, Canadam July 2013 (2012, July)

Detailed reference viewed: 68 (1 UL)