Telecom Italia

About: Telecom Italia is a company organization based out in Rome, Italy. It is known for research contribution in the topics: The Internet & Radio access network. The organization has 1392 authors who have published 1796 publications receiving 35026 citations.

Memory based device and method for channel estimation in a digital communication receiver

Abstract: A spread spectrum digital communication receiver, of the type comprising an input memory buffer (16) for storing samples of an input signal (y(k)) and a code generator circuit (30) for generating a re-generated user code, incorporates a device (24) for the estimation of a channel delay profile comprises: a basic correlator (32) having a first input (41) for sequentially reading from a memory location of the input memory buffer (16) a plurality of samples of the input signal (y(k)), a second input (43) for receiving from the code generator circuit (30) a re-generated user code, and an output terminal for generating, by means of a correlation operation between the plurality of samples of the input signal and the regenerated user code, a first value of the channel delay profile energy (DP(1)); and a memory controller circuit (36) for addressing said the memory buffer (16) so that the first input (41) of the basic correlator (32) is successively fed with the content of several memory locations of the memory buffer (16), each addressing operation corresponding to a new correlation operation of the basic correlator (32) for the computation of a new value of the channel delay profile energy (DP(l)).

Adapting stereotypes to handle dynamic user profiles in a pervasive system

Abstract: In developing ubiquitous or pervasive systems it is essential that the complexity of the underlying system is hidden from the user. To achieve this, the system needs to take many decisions on behalf of the user. This can only be done if the system knows what the user would prefer, i.e. it maintains a set of user preferences for each user. This is a laborious task for the user to perform manually and research is focussing on the use of machine learning to assist the user in creating and maintaining an acceptable set of preferences. This paper describes how stereotypes can be adapted for use in pervasive systems to help build up user preferences while maintaining user privacy through the use of virtual identities, and how these can be modified to match the changing preferences of the group of users who select this stereotype. The paper also introduces the notion of group identities and shows how the same approach can be used to handle these in the Daidalos pervasive system.

Specch.io: A Personal QS Mirror for Life Patterns Discovery and "Self" Reshaping

Abstract: This paper describes the process that led to the design of the Specch.io framework. Specch.io is a platform for seamless data collection, mash-up, visualization and exploration of personal data. The project is part of an internal research track focused on the usage of technology to promote and foster individual well-being from a biopsychosocial (BPS) perspective. The objective of Specch.io, is to reveal and raise awareness on individual life patterns, generating integration and meaning about aspects of the “self” that can hardly be captured from a subjective point of view.

An Application of Laser-Based Autonomous Navigation for Data-Center Monitoring

Abstract: Data-center monitoring has been a critical subject of research in recent years. Mobile robots have been successfully employed in the industrial field to efficiently perform common tasks. In this paper, we report some preliminary results on the study and development of a robotic system, in which a mobile robot equipped with a laser range sensor and an Inertial Measurement Unit (IMU) is able to autonomously navigate in a data-center room for accurate monitoring of critical measurements, such as servers’ external temperature, humidity and other physical quantities. The robot is able to autonomously create a map of a previously unknown room, localize therein and execute a list of measurements at different locations, which are provided by the user via a web graphical user interface (GUI). The robot is able to find the best trajectory to reach the given locations, while avoiding static and moving obstacles. The particular characteristics of the data-center scenario introduce specific problems related to map creation and localization using laser-based techniques (e.g., irregular surfaces as metal grids and high symmetry of the environment), which must be properly taken into account and are discussed throughout the paper. Preliminary experimental results show that the system is able to create a consistent map of the environment, to correctly localize itself therein and to follow a given path.

Beamforming Strategies for Energy Efficient Transmission in LTE

Abstract: The actual internet traffic growth is challenging the sustainability of mobile networks, therefore, the energy efficiency of the mobile communication infrastructure becomes a topic of particular relevance. Decreasing CO2 emissions and energy demands while expanding the mobile infrastructure to satisfy traffic demands is essential. In this paper the energy efficient use of beamforming techniques and active antennas, in which an advanced antenna is utilized to direct the transmitted signal in a narrow direction, is evaluated. Slow beamforming based on reconfigurable antennas, exploits medium/long term variations of traffic in order to save energy. Fast beamforming, on the contrary, is immediately following the traffic distribution and can even allow saving more energy. From simulations it is observed that, when compared to existing state-of-art bases base stations, in a dense urban environment reconfigurable beamforming allows a maximum gain of about 8%. Adaptive beamforming, allows an additional consumed power reduction of up to 40%. Hence, the overall power consumption reduction that can be achieved by combining these techniques can be as high as 50%.