D
Danilo Spano
Researcher at University of Luxembourg
Publications - 32
Citations - 1149
Danilo Spano is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Precoding & Zero-forcing precoding. The author has an hindex of 11, co-authored 32 publications receiving 590 citations. Previous affiliations of Danilo Spano include University of Salento.
Papers
More filters
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.
Journal ArticleDOI
A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
Ang Li,Danilo Spano,Jevgenij Krivochiza,Stavros Domouchtsidis,Christos G. Tsinos,Christos Masouros,Symeon Chatzinotas,Yonghui Li,Branka Vucetic,Bjorn Ottersten +9 more
TL;DR: The definition of constructive interference (CI) is presented and the corresponding mathematical characterization is formulated for popular modulation types, based on which optimization-based precoding techniques are discussed.
Journal ArticleDOI
Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges
Maha Alodeh,Danilo Spano,Ashkan Kalantari,Christos G. Tsinos,Dimitrios Christopoulos,Symeon Chatzinotas,Bjorn Ottersten +6 more
TL;DR: A unified view and classification of precoding techniques with respect to two main axes is presented: 1) the switching rate of the precoding weights, leading to the classes of block-level and symbol-level precoding and 2) the number of users that each stream is addressed to, hence unicast, multicast, and broadcast precoding.
Journal ArticleDOI
Symbol-Level Precoding for the Nonlinear Multiuser MISO Downlink Channel
TL;DR: Numerical results are presented in a comparative fashion to show the effectiveness of the proposed techniques, which outperform the state-of-the-art symbol-level precoding schemes in terms of spatial peak-to-average power ratio, spatial dynamic range, and symbol error rate over nonlinear channels.
Proceedings ArticleDOI
Per-Antenna Power Minimization in Symbol-Level Precoding
TL;DR: The problem of per-antenna power minimization in symbol-level precoding is formulated and solved, under Quality-of-Service constraints, and the proposed design is optimized in order to control the instantaneous power transmitted by the antennas, and more specifically to limit the power peaks, while guaranteeing some specific target signal-to-noise ratios at the receivers.