Abstract—Ubiquitous connectivity is vital for emerging appli cations like extended reality, factory automation, and robotics, necessitating low latency, high data rates, and reliability in both downlink and uplink. From the network protocol perspective, successfully supporting these new use cases hinges on the network being resilient enough to address the heterogeneous...
RESEARCH PAPER / May 2024
/
["Wireless communication",
"Machine learning/ Deep learning /Artificial Intelligence"]
The futures of AI and wireless networks are intricately intertwined. On the one hand, AI is a potent tool for automating the deployment and management of wireless networks. The next-generation wireless network, on the other hand, can support the training and deployment of AI models by providing an ocean of...
RESEARCH PAPER / May 2024
/
["Wireless communication",
"Machine learning/ Deep learning /Artificial Intelligence",
"5G",
"6G"]
"Compressed beamforming algorithm is used in the current Wi-Fi standard to reduce the beamforming feedback overhead (BFO). However, with each new amendment of the standard the number of supported antennas in Wi-Fi devices increases, leading to increased BFO and hampering the throughput despite using compressed beamforming. In this paper, a...
RESEARCH PAPER / May 2024
/
["Machine learning/ Deep learning /Artificial Intelligence",
"Security",
"Wireless communication"]
Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recently, data-driven subsampling techniques have been utilized to overcome the challenges associated with computational complexity and training time for AMC. Beyond these direct advantages of data-driven subsampling,...
RESEARCH PAPER / May 2024
/
["Wireless communication",
"Machine learning/ Deep learning /Artificial Intelligence"]
While advances in Machine Learning have revolutionized certain areas (computer vision, robotics, natural language processing, etc.), the application in wireless communications has been less dramatic. One limiting factor is the (potentially) high computational complexity. Yet another important inhibitor is the lack of realistic datasets. To fully understand the potential of...
RESEARCH PAPER / Apr 2024
/
["Wireless communication",
"Machine learning/ Deep learning /Artificial Intelligence",
"Radio frequency"]
The challenging propagation environment, combined with the hardware limitations of mmWave systems, gives rise to the need for accurate initial access beam alignment strategies with low latency and high achievable beamforming gain. Much of the recent work in this area either focuses on onesided beam alignment, or, joint beam alignment...
Distributed ledger technology, with its multitude of advantages including immutability, transparency, decentralization, and security, have excellent potential to promote and even revolutionize future 6G mobile networks. Large-scale distributed ledger deployment within or for mobile networks relies on distributed ledger-focused standards to facilitate and ensure interoperability. The European Telecommunications Standards (ETSI)...
RESEARCH PAPER / Mar 2024
/
["Energy efficiency",
"Wireless communication",
"Radio frequency",
"Antennas"]
"The future wireless networks look forwards to proving ubiquitous connection with reduced power consumption. Benefits from the development of programmable and softwaredefined metamaterials, the reconfigurable holographic surface (RHS) is of great potential"
"The geographic data and timestamps of subscribers held by mobile carriers have long been used by law enforcement and intelligence agencies to conduct legal investigations, largescale surveillance, or even unconstitutional search. Meanwhile, with the surge in popularity of Location-based Services (LBS) over the past decade, selling the geolocation information of...
RESEARCH PAPER / Feb 2024
/
["Wireless communication",
"5G",
"Machine learning/ Deep learning /Artificial Intelligence"]
The ubiquitous deployment of 4G/5G technology has made it a critical infrastructure for society that will facilitate the delivery and adoption of emerging applications and use cases (extended reality, automation, robotics, to name but a few). These new applications require high throughput and low latency in both uplink and downlink...
"Industrial applications and Extended Reality vertical sectors have expressed the need for dedicated Quality of Service considerations by 3GPP to support time-sensitive and bursty high throughput communications, respectively. Consequently, 3GPP enabled support for Time-Sensitive Networking in Release 17 and started specifying the concept around Packet Data Unit Sets in Release...
RESEARCH PAPER / Jan 2024
/
["Machine learning/ Deep learning /Artificial Intelligence",
"5G",
"Wireless communication"]
"Abstract—3rd Generation Partnership Project (3GPP) Release 18 has initiated a comprehensive study of Artificial Intelligence (AI)/Machine Learning (ML) use cases for Air Interface, e.g., Channel State Information (CSI) feedback enhancement, beam management, and positioning accuracy enhancement. In order to advance the adoption of AI/ML in 5G and towards 6G, it...
"5G new radio (NR) sidelink (SL) is envisioned as a key enabler of high speed, low latency applications like automated driving. To meet the high data rate requirements for such applications, SL support at mmWave and sub-THz frequencies with large bandwidths will be essential. Several enhancements and optimizations will be...
"In a free space optics (FSO) based drone assisted mobile network, a drone mounted base station (DBS) can be rapidly deployed over a place of interest to relay traffic between mobile users and a macro base station (MBS), and FSO is applied as the fronthaul solution between the DBS and...
Video services traffic over the internet has drastically grown these past years, currently representing more than 80% of the internet bandwidth [1]. The massive usage of unicast delivery leads to network congestion that can result in poor quality of experience for the viewer, high delivery cost for operators and increased...
"The increased mobile connectivity, the range and number of services available in various computing environments in the network, demand mobile applications to be highly dynamic to be able to efficiently incorporate those services into applications, along with other local capabilities on mobile devices. However, the monolithic structure and mostly static...
The future of manufacturing industry highly depends on digital systems that convert existing production and monitoring systems to autonomous systems with stringent requirements in terms of availability, reliability, security, low latency, positioning with high-accuracy and so on. In order to provide such requirements, a private 5G network deployment is considered...
We propose XRC, an explicit rate control algorithm that overcomes the poor performance of commonly used TCP variants in cellular networks. XRC exploits an explicit feedback from the radio access network that is aware of the physical, network and transport layer information of all UEs as well as resource distribution...
Techniques which leverage channel state information (CSI) at a transmitter to adapt wireless signals to changing propagation conditions have been shown to improve the reliability of modern multiple input multiple output (MIMO) communication systems. Due to the difficulty of estimating downlink CSI at the transmitter in many wireless systems, CSI...
In this work, we propose a novel deep learning-based framework for the adaptive configuration of DMRS used for MIMO CCE. Specifically, a neural network architecture is proposed at the terminal side which based on statistical learning indicates to the network the preferred configuration of DMRS in time, frequency, and code...
Next generation Terabit per second (Tbps) wireless communication systems aim for sub-THz and THz bands where noise and hardware impairments are known to be dominantly non-linear and lack accurate closed form analytical models. The physical layer (PHY) blocks designed under linearity and Gaussian noise assumptions will fall short of satisfying...
Reconfigurable intelligent surfaces (RIS) have the ability to steer the electromagnetic waves to a desired direction. This enables the improvement of the wireless link performance by allowing the illumination of receivers otherwise shadowed by buildings or hills. In this paper, a link level simulations are used to study the performance...
This article proposes multiple multi-domain solutions to deploy private SG networks for vertical industries. Different models of deploying SG private networks are presented, covering deployment on local premises as well as their interconnection with public networks of mobile network operators. Building on a set of industry verticals (comprising Industry 4.0,...
RESEARCH PAPER / Jul 2021
/
5G,
Wireless communication,
Machine learning/ Deep learning /Artificial Intelligence
Building upon on a digital transformation, Industry 4.0 (I4.0) aims to build the factories of the future, which feature additional flexibility, increasingly connected infrastructures and automated processes. 5G is playing a paramount role in this transformation, as it can offer high bandwidth, reliable and low latency wireless connectivity to meet...
Intelligent radio surface (IRS) is a programmable structure that can be used to control the propagation of electromagnetic waves by changing the electric and magnetic properties of the surface. By placing these surfaces in an environment, the properties of radio channels can be, at least partially, controlled. This opens new...
Joint communication and sensing allows the utilization of common spectral resources for communication and localization, reducing the cost of deployment. By using 5G New Radio (NR) (i.e., the 3rd Generation Partnership Project (3GPP) Radio Access Network for fifth generation) reference signals, conventionally used for communication, sub-meter precision localization is possible...
New Radio (NR) supports operations at high frequency bands (e.g., millimeter wave frequencies) by using narrow beam based directional transmissions in order to compensate high propagation losses at such frequencies. Due to the limited spatial coverage with each beam, the broadcast transmission of paging in NR is performed using beam...
In this paper, we propose a novel approach for real-time radar-based human activities detection and classification. In this approach, first, the radar transceiver is mounted on the room’s ceiling leading to considerable variations of the relative received power as the subject perform the different activities. Second, to exploit the different...
The traditional role of a communication engineer is to address the technical problem of transporting bits reliably overa noisy channel. With the emergence of 5G, and the availability of a variety of competing and coexisting wireless systems, wireless connectivity is becoming a commodity. This article argues that communication engineers in...
RESEARCH PAPER / Dec 2020
/
5G,
Machine learning/ Deep learning /Artificial Intelligence,
Network and Communications
This document describes the winning solution to the GNN Challenge 2020 organized by the Barcelona Neural Networking Center for the ITU Artificial Intelligence/Machine Learning in 5G Challenge. We first describe our methodology, then give the set of hyper-parameters that allowed us to achieve the best score with an average relative...
Blockchain technology is a technology that jointly leverages and builds on top of a few existing techniques such as cryptography, hashing, Peer-to-Peer (P2P) networking, smart contract, and consensus protocols. Fully distributed control and management capability of the 5G/6G wireless systems may be enabled by blockchain technology, especially in the untrusted...
RESEARCH PAPER / Dec 2020
/
Network and Communications,
5G,
Wireless communication,
Computing and Optimization
For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In...
RESEARCH PAPER / Nov 2020
/
5G,
Wireless communication,
Network and Communications,
Computing and Optimization
This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially,...
In this presentation we’ll talk about the development of Beam Management and describe the system attributes related to performing the initial beam establishment. We will also review the supported 3GPP requirements and limitations of the current implementation. We’ll then share some details about the beam management implementation done on the...
The emergence of edge computing introduces new complexity in the creation of distributed mobile applications. Application designers can now deploy application functionality in three or more tiers of compute infrastructure to optimize bandwidth, latency, cost, user experience and privacy for their users and their own operations. However, the diversity of...
RESEARCH PAPER / Sep 2020
/
Wireless communication,
Network and Communications,
Computing and Optimization
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC...
In this paper, a simple compact radiation pattern reconfigurable patch antenna is presented. The proposed design is composed of two back-to-back identical patches surrounded by a conductive strip, etched on both sides of a dielectric substrate. It has the same dimensions as a classical patch. Thanks to the use of...
5G promises to bring back value to the network operator and not only serve as a data pipe solution anymore. Operators have started to adopt cloud-native paradigms for the deployment of the 5G core architecture. With it goes the introduction of the service-based architecture as a key design pattern for...
Zero-forcing precoding is a commonly-used multiple-user, multiple-input multiple-output beamforming technique. Applying such precoding, the signal-to-interference-plus-noise ratio (SINR) statistics with outdated channel state information, which involve various projections related to the multi-dimensional channel vectors and precoding vectors, have never been explicitly derived. In this paper, for the multiple-input single-output scenario with...
Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. A common approach is to rely on Product Quantization, which allows the storage of large vector databases in memory and efficient distance computations. Yet, implementations of nearest neighbor search with Product Quantization have their...
This paper presents a novel planar compact integrated four-sector antenna for sub-6GHz 5G indoor access and content distribution over 2.45GHz/ 5.5GHz dual-band WiFi in 2x2 MIMO configuration. The four sectors, for 5G applications, are obtained via Vivaldi antennas with ground reuse for achieving very compact dimensions. A compact two-port slot...
View the slides from our Volumetric Photobooth demonstration at MWC19!
View the slides from our demonstration on Core Network Testbeds from MWC19!
Discover InterDigital's role in Beyond 5G in this MWC19 presentation.
View the slides from our demonstration of 5G Edge Mission Critical Automation from MWC19!
View the slides from our demonstration of 360 Video Standards from MWC19!
"A recently celebrated kind of deep neural networks is Generative Adversarial Networks. GANs are generators of samples from a distribution that has been learned; they are up to now centrally trained from local data on a single location. We question the performance of training GANs using a spread dataset over...
Augmented Reality (AR) is a concept and a set of technologies for merging of real and virtual elements to produce new visualizations – typically a video – where physical and digital objects co-exist and interact in real time. Most AR applications support real-time interaction with content (AR scene with virtual...
This paper presents a novel compact hybrid monopole- Annular Slot Antenna (ASA). The proposed antenna combines the advantages of an ASA with the broadband feature of a wideband monopole. The antenna simulated performance is thoroughly analyzed and validated via measurements.
This paper presents a novel compact, wideband, four directional radiation patterns, antenna. The radiating element topology is inspired from the Annular Slot Antenna (ASA) and printed wideband monopole. The antenna is designed for North American ATSC-TV indoor reception. For an S11<;-6dB, it covers both High-VHF and UHF bands. It presents...
Over the last few years, we watched head-worn virtual and augmented reality devices move from research laboratories to store shelves as the newest platform enabling novel virtual experiences. The big promise of emerging mixed reality (MR) technology is a far deeper immersion into imaginary worlds than is possible with the...
A professor of Electrical Engineering at L’École de Technologie Supérieure (ÉTS) in Montreal and the chair holder of the Richard J. Marceau Chair on Wireless IP Technology for Developing Countries, François Gagnon has begun a project to bring the Internet to the most sparsely populated areas of the developing world. InterDigital...
Joe Giersch, a biologist from USGS, sat down with InterDigital to discuss technology’s role in the study of stream ecology, and explain why we should all know about the insect, Lednia tumana, that he has spent his life studying.
Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a ‘compressive learning’ framework, where we estimate model parameters from a sketch of the training data. This sketch is a collection of generalized moments of the underlying probability distribution of the data. It...
The success of Google’s PageRank algorithm popularized graphs as a tool to model the web’s navigability. At that time, the web topology was resulting from human edition of hyper-links. Nowadays, that topology is mostly resulting from algorithms. In this paper, we propose to study the topology realized by a class...
Smart city technologies could save enterprises, governments and citizens globally over US $5 trillion annually by 2022. This is the conclusion reached by ABI Research in this new white paper, which analyzes the scope for cost savings and efficiency as a driver for smart city deployments, smart technologies and the...
A large portion of data mining and analytic services use modern machine learning techniques, such as deep learning. The state-of-the-art results by deep learning come at the price of an intensive use of computing resources. The leading frameworks (e.g., TensorFlow) are executed on GPUs or on high-end servers in datacenters....
Recently, the Qualcomm Tricorder XPRIZE® announced its winners. We caught up with Ed Hepler, ex-InterDigital engineer and hardware development lead of the winning bootstrap operation, Final Frontier Medical Devices, after the winning announcement in this CREATORS sit-down.
It takes someone special to look at the island of Manhattan – possibly the most transformed, altered landscape on earth – and see the beaver dams, streams, marshes, and rolling hills that it once was... and want to bring that back to life. That someone special is Dr. Eric Sanderson, the...
Discover how Ph.D. candidate at the University of Bristol, Dulce Rodriguez, turned her interest in how technology impacts society into a full-blown research project that aims to create a blended intergenerational learning environment.
Some structural characteristics of online discussions have been successfully modeled in the recent years. When parameters of these models are properly estimated, the models are able to generate synthetic discussions that are structurally similar to the real discussions. A common aspect of these models is that they consider that all...
This chapter presents the Integrated Lens Antenna (ILA) technology as it evolved since its introduction aiming to respond to the needs of emerging applications such as high-data-rate communication, intelligent transport, and mm-wave imaging. The topics covered include the ILA design concepts as well as the electromagnetic phenomena intrinsic to dielectric...
Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. Because it offers low responses times, Product Quantization (PQ) is a popular solution. PQ compresses high-dimensional vectors into short codes using several sub-quantizers, which enables in-RAM storage of large databases. This allows fast answers...
Les liens DSL peuvent subir des pannes sporadiques entraînant des deconnexions ou un acces Internet dégradé. Ces pannes sont a l’origine d’une expérience utilisateur négative et générent des coûts pour les fournisseurs d’accès Internet (FAI) via des appels d’assistance technique. La prediction de pannes permet aux FAI de mettre en...
La recommandation joue un rôle central dans le e-commerce et dans l'industrie du divertissement. L'intérêt croissant pour la transparence algorithmique nous motive dans cet article à observer les résultats de recommandations sous la forme d'un graphe capturant les navigations proposées dans l'espace des items. Nous argumentons qu'une telle approche en...
RESEARCH PAPER / May 2017
/
Machine learning/ Deep learning /Artificial Intelligence,
Computing and Optimization
Learning from multi-label data in an interactive framework is a challenging problem as algorithms must withstand some additional constraints: in particular, learning from few training examples in a limited time. A recent study of multi-label classifier behaviors in this context has identified the potential of the ensemble method “Random Forest...
Uncovering Influence Cookbooks : Reverse Engineering the Topological Impact in Peer Ranking Services
Ensuring the early detection of important social network users is a challenging task. Some peer ranking services are now well established, such as PeerIndex, Klout, or Kred. Their function is to rank users according to their influence. This notion of influence is however abstract, and the algorithms achieving this ranking...
Accounts are often shared by multiple users, each of them having different item consumption and temporal habits. Identifying of the active user can lead to improvements in a variety of services by switching from account personalized services to user personalized services. To do so, we develop a topic model extending...
The polarization of the BSC(γ 1 ) with a BSC(γ 2 ) is characterized explicitly for γ 1 , γ 2 ∈ [0, 1/2]. The polarization yields a channel W - which is a BSC(λ), and a channel W + which is composed of a BSC(ξ) with probability 1 -...
Wi-Fi is the preferred way of accessing the Internet for many devices at home, but it is vulnerable to performance problems. The analysis of Wi-Fi quality metrics such as RSSI or PHY rate may indicate a number of problems, but users may not notice many of these problems if they...
Détecter au plus tôt les utilisateurs importants dans les réseaux sociaux est un problème majeur. Les services de classement d'utilisateurs (peer ranking) sont maintenant des outils bien établis, par des sociétés comme PeerIndex, Klout ou Kred. Leur fonction est de ``classer'' les utilisateurs selon leur influence. Cette notion est néanmoins...
Aggregation of streamed data is key to the expansion of the Internet of Things. This paper addresses the problem of designing a topology for reliably aggregating data flows from many devices arriving at a datacenter. Reliability here means ensuring operation without data loss. We seek a frugal solution that prevents...
BLOG / Nov 2014
/
Network of Networks,
Small Cells,
Network Operators,
Narayan Menon
/ Posted By: meghan.carney
BLOG / Sep 2015
/
IoT,
Mediatek,
LinkIt ONE,
shipiot,
bipio,
wotio,
accelerometer,
demo,
tutorial
/ Posted By: wotio team
BLOG / Oct 2015
/
ship iot,
columbia,
atmel,
iot,
columbia university,
wot.io
/ Posted By: wotio team
BLOG / Oct 2015
/
iot,
interoperability,
wotio,
data,
internet of things,
connected devices
/ Posted By: wotio team
BLOG / Nov 2015
/
wot.io,
node red,
data service exchange,
protocol adapters
/ Posted By: wotio team
BLOG / Nov 2015
/
Freescale,
bipio,
ARM,
mbed,
wot.io,
data service exchange
/ Posted By: wotio team
BLOG / Nov 2015
/
AT&T,
M2X,
Elasticsearch,
Kibana,
WebSocket,
MTA,
GTFS,
Digital Signage,
Metro,
riak
/ Posted By: wotio team
BLOG / Dec 2015
/
bip.io,
data service exchange,
protocol adapters,
browser,
chrome,
extension
/ Posted By: wotio team
BLOG / Jan 2019
/
MWC19,
IDCCatMWC19,
IDCC,
InterDigital,
MWC,
Mobile World Congress,
MWL
/ Posted By: The InterDigital Communications Team
BLOG / Feb 2019
/
MWC19,
IDCCatMWC19,
IDCC,
InterDigital,
MWC,
Mobile World Congress,
MWL
/ Posted By: The InterDigital Communications Team
