The manuscript entitled "Experimental data set analysis of RSSI-based indoor and outdoor localization in LoRa networks"

has been accepted for publication in Internet Technology Letters: https://onlinelibrary.wiley.com/journal/24761508

The authors are: Emanuele Goldoni, Luca Prando, Anna Vizziello, Pietro Savazzi, and Paolo Gamba (TLC&RS lab).

Summary: Positioning capability represents one of the basic features of modern Internet of
Things (IoT) applications. Although this objective may be pursued by using Global
Navigation Satellite Systems, cheaper and simpler techniques are more suitable for
low-power networks. In this letter, we present a complete experimental data set
of Received Signal Strength Indicator (RSSI) measurements collected in different
indoor and outdoor environments using LoRa radios. Moreover, we apply simple and
power efficient localization algorithms on the dataset. The main goal of this work is
to share both the experimental data set and the preliminary results on localization
among the community.
KEYWORDS: Radio Localization, RSSI, IoT, LoRa network

The article "A Kalman based Hybrid Precoding for Multi-User Millimeter Wave MIMO Systems"

has been accepted for publication in IEEE Access: http://ieeeaccess.ieee.org/

The authors are: Anna Vizziello, Pietro Savazzi (TLC&RS lab), and Kaushik R. Chowdhury (Northeastern University, Boston MA)

ABSTRACT: Millimeter wave (mmWave) communication in the 60 GHz band requires large antenna arrays
at both the transmit and receive terminals to achieve beamforming gains, in order to counteract the severe
pathloss. Fully digital techniques are infeasible with large antenna arrays due to hardware constraints at
such frequencies, while pure analog solutions have severe performance limitations. Hybrid analog/digital
beamforming is a promising solution, especially when extended to a multi-user scenario. This paper makes
three main contributions: (i) a Kalman-based formulation for hybrid analog/digital precoding in multi-user
environment is proposed, (ii) a novel expression of the error between the transmitted and estimated data
is formulated, so that the Kalman algorithm at the base station (BS) does not require any detail on the
estimated data at the mobile stations (MSs), but only the precoding/combining matrix, (iii) an iterative
solution is designed for the hybrid precoding scheme with affordable complexity. Simulation results confirm
a significant improvement of the proposed approach with respect to the existing solutions, in terms of both
BER and spectral efficiency. As an example, almost 7 bps/Hz, at 20 dB with 10 channel paths, with respect
to the analog-only beamsteering, and almost one bps/Hz with respect to the hybrid minimum mean square
error (MMSE) precoding, in the same conditions.

INDEX TERMS: Hybrid beamforming, Kalman filter, Millimiter Wave, massive MIMO

I risultati sono disponibile nella web page del corso sulla piattaforma Kiro

Results are available in the course web page on the Kiro platform

A new journal paper from the TLC group at UniPV has been accepted by the prestigiuos IEEE Transactions on Mobile Computing. The paper titled "E-Fi: Evasive Wi-Fi Measures for Surviving LTE within 5GHz Unlicensed Band" results from a collaboration with the Northestern University in Boston and the Uniersity of Bologna.