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Dive into the research topics where Danilo Spano is active.

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Featured researches published by Danilo Spano.


global communications conference | 2016

Per-Antenna Power Minimization in Symbol-Level Precoding

Danilo Spano; Maha Alodeh; Symeon Chatzinotas; Björn E. Ottersten

This paper investigates the problem of the interference among multiple simultaneous transmissions in the downlink channel of a multi- antenna wireless system. A symbol-level precoding scheme is considered, where the data information is used, along with the channel state information, in order to exploit the multi-user interference and transform it into useful power at the receiver side. In this framework, it is important to consider the power limitations individually for each transmitting antenna, since a common practice in multi-antenna systems is the use of separate per-antenna amplifiers. Thus, herein the problem of per-antenna power minimization in symbol-level precoding is formulated and solved, under Quality-of-Service constraints. In the proposed approach, the precoding 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. Numerical results are presented to show the effectiveness of the proposed scheme, which outperforms the existing state of the art techniques in terms of reduction of the power peaks and of the peak-to-average power ratio across the transmitting antennas.


Pervasive and Mobile Computing | 2017

Opportunistic Time-of-Arrival localization in fully asynchronous wireless networks

Danilo Spano; Fabio Ricciato

Abstract We present a novel Time-of-Arrival localization scheme for fully asynchronous systems, where each node clock is affected by unknown bias (temporal offset) and drift (frequency offset). The proposed method relies exclusively on the measurement of reception times, and does not require knowledge nor control of the transmission times. Therefore, it can exploit opportunistically signals and packets that are already available over-the-air for communication purposes. We formalize the problem and provide a low-complexity resolution algorithm based on pseudo-ranges. Simulation results are provided to validate the resolution approach and to assess the sensitivity of the localization accuracy to the main scenario parameters.


international conference on digital signal processing | 2016

Peak power minimization in symbol-level precoding for cognitive MISO downlink channels

Maha Alodeh; Danilo Spano; Symeon Chatzinotas; Björn E. Ottersten

This paper proposes a new symbol-level precoding scheme at the cognitive transmitter that jointly utilizes the data and channel information to reduce the effect of nonlinear amplifiers, by reducing the maximum antenna power under quality of service constraint at the cognitive receivers. In practice, each transmit antenna has a separate amplifier with individual characteristics. In the proposed approach, the precoding 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 and respecting the interference temperature constraint imposed by the primary system. Numerical results show the effectiveness of the proposed scheme, which outperforms the existing state of the art techniques in terms of reduction of the power peaks.


international conference on acoustics, speech, and signal processing | 2017

Faster-than-Nyquist spatiotemporal symbol-level precoding in the downlink of multiuser MISO channels

Maha Alodeh; Danilo Spano; Symeon Chatzinotas; Björn E. Ottersten

This paper investigates the problem of interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Symbol-level precoding (SLP) is a promising technique which has recently demonstrated large performance gains over the conventional block-level techniques. These gains can be translated in lower power requirements, improved energy efficiency, lower peak to average power ratio and resilience to non-linearities. However, previous works have not exploited the full potentials of SLP as it was only used to exploit multiuser interference spatially. In this paper, we extend this concept by using Faster-than-Nyquist (FTN) signaling and employing SLP to manage both multi-user and inter-symbol interference (ISI). We consider the aforementioned paradigm in the context of Massive multiple-input multiple-output (MIMO) systems, where the number of transmit antennas is usually an order of magnitude larger than the number of served users. In this rich degrees of freedom (DoF) environment, we show that FTN SLP can double the effective user rates while improving the energy efficiency.


2016 8th Advanced Satellite Multimedia Systems Conference and the 14th Signal Processing for Space Communications Workshop (ASMS/SPSC) | 2016

Symbol-level precoding with per-antenna power constraints for the multi-beam satellite downlink

Danilo Spano; Symeon Chatzinotas; Jens Krause; Björn E. Ottersten

This paper tackles the problem of multi-user interference in the forward downlink channel of a multi-beam satellite system. A symbol-level precoding scheme is considered, where the data information is used, along with the channel state information, in order to exploit the multi-user interference and transform it into useful power at the receiver side. In this framework, the max-min fair problem for constructive interference is formulated and solved, under per-antenna power constraints. The consideration of the power limitations individually for each transmitting RF chain is the novel aspect, and it is relevant in particular for systems suffering non-linear effects of the channel. This is the case of satellite systems, where the nonlinear amplifiers should be properly driven in order to reduce the detrimental saturation effect. The proposed precoding design optimizes the system performance at the receiver side in terms of signal-to-noise ratio, whilst guaranteeing the system fairness and allowing a control over the power transmitted by each antenna, in particular reducing the power peaks. Numerical results are presented to validate the proposed scheme, and to show its effectiveness in terms of distribution of the transmitted power and peak-to-average power ratio.


International Journal of Satellite Communications and Networking | 2018

Per-antenna power minimization in symbol-level precoding for the multibeam satellite downlink: Per-antenna power minimization in symbol-level precoding for the multibeam satellite downlink

Danilo Spano; Symeon Chatzinotas; Stefano Andrenacci; Jens Krause; Björn E. Ottersten

This paper addresses the problem of multiuser interference in the forward downlink channel of a multibeam satellite system. A symbol-level precoding scheme is considered, to exploit the multiuser i ...


asilomar conference on signals, systems and computers | 2016

Optimized link adaptation for DVB-S2X precoded waveforms based on SNIR estimation

Stefano Andrenacci; Danilo Spano; Dimitrios Christopoulos; Symeon Chatzinotas; Jens Krause; Björn E. Ottersten

The present work deals with optimized strategies to address the issue of link adaptation (Adaptive Coding and Modulation — ACM) in a multi-user multi-beam satellite system employing precoding at the gateway side. Accordingly, the focus is on the forward link of a multi-beam satellite system employing a full frequency reuse configuration. In such an interference limited setting, the Super-Framing structure of DVB-S2X air interface (format specification 2 and 3) enables the use of precoding techniques. The aim herein is to investigate the Signal-to-Noise-plus-Interference (SNIR) estimation error given by the User Terminals (UTs) through the so-called P2 pilots is taken into account to optimize the ACM margins.


Archive | 2015

Total degradation analysis of precoded signals onto non-linear satellite channels

Danilo Spano; Dimitrios Christopoulos; Stefano Andrenacci; Symeon Chatzinotas; Björn E. Ottersten; Jens Krause


arXiv: Information Theory | 2017

Symbol-level and Multicast Precoding for Multiuser Multiantenna Downlink: A Survey, Classification and Challenges.

Maha Alodeh; Danilo Spano; Ashkan Kalantari; Christos G. Tsinos; Dimitrios Christopoulos; Symeon Chatzinotas; Björn E. Ottersten


IEEE Transactions on Signal Processing | 2018

Symbol-Level Precoding for the Nonlinear Multiuser MISO Downlink Channel

Danilo Spano; Maha Alodeh; Symeon Chatzinotas; Björn E. Ottersten

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Maha Alodeh

University of Luxembourg

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