mm-Wave channel estimation with accelerated gradient descent algorithms

Abstract The availability of millimeter wave (mm-Wave) band in conjunction with massive multiple-input-multiple-output (MIMO) technology is expected to boost the data rates of the fifth-generation (5G) cellular systems. However, in order to achieve high spectral efficiencies, an accurate channel estimate is required, which is a challenging task in massive MIMO. By exploiting the small number of paths that characterize the mm-Wave channel, the estimation problem can be solved by compressed-sensing (CS) techniques. In this paper, we propose a novel CS channel estimation method based on the accelerated gradient descent with adaptive restart (AGDAR) algorithm exploiting a ℓ 1-norm approximation of the sparsity constraint. Moreover, a modified re-weighted compressed-sensing (RCS) technique is considered that iterates AGDAR using a weighted version of the ℓ 1-norm term, where weights are adapted at each iteration. We also discuss the impact of cell sectorization and tracking on the channel estimation algorithm. We compare the proposed solutions with existing channel estimations with an extensive simulation campaign on downlink third-generation partnership project (3GPP) channel models

Boosting 5G mm-Wave IAB Reliability with Reconfigurable Intelligent Surfaces

The introduction of the mm-Wave spectrum into 5G NR promises to bring about unprecedented data throughput to future mobile wireless networks but comes with several challenges. Network densification has been proposed as a viable solution to increase RAN resilience, and the newly introduced IAB is considered a key enabling technology with compelling cost-reducing opportunities for such dense deployments. Reconfigurable Intelligent Surfaces (RIS) have recently gained extreme popularity as they can create Smart Radio Environments by EM wave manipulation and behave as inexpensive passive relays. However, it is not yet clear what role this technology can play in a large RAN deployment. With the scope of filling this gap, we study the blockage resilience of realistic mm-Wave RAN deployments that use IAB and RIS. The RAN layouts have been optimised by means of a novel mm-Wave planning tool based on MILP formulation. Numerical results show how adding RISs to IAB deployments can provide high blockage resistance levels while significantly reducing the overall network planning cost

An IoT-aware Architecture to improve Safety in Sports Environments

The introduction of Internet of Things enabling technologies into the sport and recreational activities domain provide an interesting research challenge. Their adoption could significantly improve the sport experience and also the safety level of team sports. Despite this, only few attempts have been done to demonstrate the benefits provided by use of IoT technologies in sport environments. To fill this gap, this paper propose an IoT-aware Sport System based on the jointly use of different innovative technologies and standards. By exploiting the potentialities offered by an ultra-low-power Hybrid Sensing Network (HSN), composed of 6LoWPAN nodes integrating UHF RFID functionalities, the system is able to collect, in real time, both environmental parameters and players’ physiological data. Sensed data are then delivered to a Cloud platform where a monitoring application makes them easily accessible via REST Web Services. A simple proof of concept has demonstrated the appropriateness of the proposed solution

An IoT-Aware Architecture for Smart Healthcare Systems

none7Over the last few years, the convincing forward steps in the development of Internet-of-Things (IoT) enabling solutions are spurring the advent of novel and fascinating applications. Among others, mainly Radio Frequency Identification (RFID), Wireless Sensor Network (WSN), and smart mobile technologies are leading this evolutionary trend. In the wake of this tendency, this paper proposes a novel, IoTaware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within hospitals and nursing institutes. Staying true to the IoT vision, we propose a Smart Hospital System (SHS) which relies on different, yet complementary, technologies, specifically RFID, WSN, and smart mobile, interoperating with each other through a CoAP/6LoWPAN/REST network infrastructure. The SHS is able to collect, in real time, both environmental conditions and patients’ physiological parameters via an ultra-low-power Hybrid Sensing Network (HSN) composed of 6LoWPAN nodes integrating UHF RFID functionalities. Sensed data are delivered to a control center where an advanced monitoring application makes them easily accessible by both local and remote users via a REST web service. The simple proof of concept implemented to validate the proposed SHS has highlighted a number of key capabilities and aspects of novelty which represent a significant step forward compared to the actual state of art.restrictedCATARINUCCI L.; DE DONNO D.; MAINETTI L.; PALANO L.; PATRONO L.; STEFANIZZI M.; TARRICONE L.Catarinucci, Luca; DE DONNO, Danilo; Mainetti, Luca; Palano, L.; Patrono, Luigi; Stefanizzi, MARIA LAURA; Tarricone, Lucian

Integrating Passive UHF RFID Tags with WSN Nodes: Challenges and Opportunities

Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) have received an ever-increasing attention in recent years, mainly because they represent two of the most important technologies enabling the Internet of Things vision. Although designed originally with different objectives, WSN and RFID represent two complementary technologies whose integration might increase their functionalities and extend their range of applications. However, important technological issues must still be solved in order to fully exploit the potentialities offered by such integration. In this work, an innovative RFID-WSN integration approach is presented and validated. It relies on the interconnection of a new-generation, long-range, EPCglobal Class-1 Generation-2 Ultra-High-Frequency (UHF) RFID tag with a commercial WSN node via the I2C interface. Experimental results have demonstrated the effectiveness of the proposed approach compared to existing solution in the literature. Interesting application scenarios enabled by the proposed RFID-WSN integration approach are briefly summarized at the end of the paper

Ultralong-Range RFID-Based Wake-Up Radios for Wireless Sensor Networks

This letter presents three different strategies for waking up wireless sensor network (WSN) motes via radio frequency identification (RFID). Based on our prior work on the design of augmented ultrahigh-frequency RFID tags and ultrasensitive RF energy harvesters, the proposed solutions significantly outperform state-of-art RFID wake-up radios (both broadcast based and ID based) for WSNs. In particular, improvements up to (4.2×) and (7.8×) have been achieved in terms of wake-up range and wake-up delay, respectively

A Battery-Assisted Sensor-Enhanced RFID Tag Enabling Heterogeneous Wireless Sensor Networks

none3This paper presents the design, realization, and experimental validation of a battery-assisted radio frequency identification (RFID) tag with sensing and computing capabilities conceived to explore heterogeneous RFID-based sensor network applications. The tag (hereafter called mote) features an ultra-low-power ferroelectric random-access-memory microcontroller, a LED, temperature and light sensors, three-axis accelerometer, non-volatile storage, and a new-generation I2C-RFID chip for communication with standard UHF EPCglobal Class-1 Generation-2 readers. A preliminary RFID mote prototype, fabricated on a printed circuit board using low-cost discrete components and equipped with a small 225-mAh coin battery, provides an estimated lifetime of 3 years when sensing and computing tasks are performed every 30 s. In addition, the reliable RFID communication range up to 22 m achieved in an indoor scenario represents, to the best of our knowledge, the longest distance ever reported for similar sensor-enhanced RFID tags. © 2013 IEEE.mixedD. De Donno;L. Catarinucci;L. TarriconeDE DONNO, Danilo; Catarinucci, Luca; Tarricone, Lucian

Demonstration Abstract: Research Platform for Visible Light Communication and Sensing Systems

status: publishe

Unconventional UHF RFID Tags with Sensing and Computing Capabilities

The design of fully-passive UHF RFID tags preserving cost effectiveness, yet supplying augmented capabilities, represents an ambitious and stimulating challenge, as such devices would pave the way to a large class of applications where identification, computation, automatic cognition, and wireless sensing are required. In this work, two solutions are proposed. The former, named RAMSES, is optimized for RFID-based sensing and relies on a novel approach exploiting a new-generation I2C-UHF RFID chip. RAMSES is able to write sensor data into the EPC and communicate up to 5 m of distance from a conventional UHF RFID Class-1 Generation-2 (Gen2) reader. The latter solution, named SPARTACUS, renounces part of this long operating range in exchange for additional computing capabilities enabling an increased interaction with RFID readers. SPARTACUS represents the first example in literature of RFID device embedding sensing/actuation functionalities, distributed computation, and fully bidirectional communication with the reader. Satisfactory operating range, sensing, computation, data storage, and cost-effectiveness are the main strengths making the proposed devices definitely suitable for a wide array of novel and unconventional RFID applications