E
Eva Lagunas
Researcher at University of Luxembourg
Publications - 167
Citations - 2389
Eva Lagunas is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Computer science & Communications satellite. The author has an hindex of 17, co-authored 114 publications receiving 1274 citations. Previous affiliations of Eva Lagunas include Polytechnic University of Catalonia.
Papers
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Journal ArticleDOI
Satellite Communications in the New Space Era: A Survey and Future Challenges
Oltjon Kodheli,Eva Lagunas,Nicola Maturo,Shree Krishna Sharma,Bhavani Shankar,Jesus Fabian Mendoza Montoya,Juan Carlos Merlano Duncan,Danilo Spano,Symeon Chatzinotas,Steven Kisseleff,Jorge Querol,Lei Lei,Thang X. Vu,George Goussetis +13 more
TL;DR: In this article, the authors present a survey of the state of the art in satellite communications, while highlighting the most promising open research topics, such as new constellation types, on-board processing capabilities, non-terrestrial networks and space-based data collection/processing.
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Application of Compressive Sensing in Cognitive Radio Communications: A Survey
TL;DR: This survey paper provides a detailed review of the state of the art related to the application of CS in CR communications and provides a classification of the main usage areas based on the radio parameter to be acquired by a wideband CR.
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Resource Allocation for Cognitive Satellite Communications With Incumbent Terrestrial Networks
TL;DR: It is shown that the proposed cognitive exploitation framework represents a promising approach for enhancing the throughput of conventional satellite systems and guarantees protection of the terrestrial FS system while maximizing the satellite total throughput.
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Joint Wall Mitigation and Compressive Sensing for Indoor Image Reconstruction
TL;DR: This paper enables joint wall clutter mitigation and CS application using a reduced set of spatial-frequency observations in stepped frequency radar platforms and demonstrates that wall mitigation techniques, such as spatial filtering and subspace projection, can proceed using fewer measurements.
Journal ArticleDOI
A RAN Resource Slicing Mechanism for Multiplexing of eMBB and URLLC Services in OFDMA Based 5G Wireless Networks
Praveen Kumar Korrai,Eva Lagunas,Shree Krishna Sharma,Symeon Chatzinotas,Ashok Bandi,Bjorn Ottersten +5 more
TL;DR: To ease the complexity of the optimization-based scheduling algorithm, a low-complexity heuristic scheduling scheme is proposed for the efficient multiplexing of URLLC and eMBB services and the effectiveness of the proposed optimization and heuristic schemes is illustrated.