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...
"JVET has developed a new Enhanced Compression Model (ECM) for testing future video coding algorithms on top of the Versatile Video Coding (VVC) standard. Reference Picture Resampling (RPR) is a powerful tool that improves video coding efficiency of next generation like Versatile Video Coding (VVC). This feature is well designed...
"This document gives an overview of the V3C Immersive Platform delivered to the Reference Tools 5G MAG An item ""V3C Immersive Platform"" will be added to the page https://5g-mag.github.io/Getting-Started/"
In frequency division duplex (FDD) massive MIMO systems, each user equipment (UE) device typically feeds back downlink channel state information (CSI) to its serving base station (BS), which may then be utilized for beamforming and scheduling purposes. However, the large number of antennas increases the CSI signaling overhead in the...
A Haptic Experience may take many shapes or forms, ranging fromsimple UI notifications on a phone, to fully immersive multi-sensorial experiences.In this context, dedicated Haptic authoring tools have been flourishing and theliterature on Haptic design introduced many concepts and guidelines to improveHaptic Experiences. In this paper, we propose to go...
In recent video coding standards, the introduction of multiple transform selection (MTS) has significantly improved coding efficiency. The latest standard, Versatile Video Coding (VVC), adopted implicit MTS as an alternative tool to explicit MTS. This tool reduces the encoder complexity by inferring the optimal transform type from decoder-side information instead...
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...
"Immersive media applications offer experiences which immerse the user in a virtual or hybrid environment and offer more degrees of freedom than with traditional 2D video content. Platforms providing immersive media often enable the user to interact with the content and/or with other users in shared virtual or mixed reality...
RESEARCH PAPER / Apr 2024
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["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...
RESEARCH PAPER / Apr 2024
/
["Machine learning/ Deep learning /Artificial Intelligence",
"Computer Vision",
"Image processing"]
RESEARCH PAPER / Apr 2024
/
["Compression",
"Volumetric Imaging",
"Machine learning/ Deep learning /Artificial Intelligence"]
"Learning-based point cloud (PC) compression is a promising research avenue to reduce the transmission and storage costs for PC applications. Existing learning-based methods to compress PCs attributes employ variational autoencoders (VAE) or normalizing flows (NF) to learn compact signal representations. However, VAEs leverage a lower-dimensional bottleneck that limit the maximum...
RESEARCH PAPER / Apr 2024
/
["Compression",
"Video coding",
"Machine learning/ Deep learning /Artificial Intelligence"]
"The last standard Versatile Video Codec (VVC), aims to im- prove the compression efficiency by saving around 50% of bitrate at the same quality compared to its predecessor High Efficiency Video Codec (HEVC). However, this comes with a significant rise in computational complexity due to the new added tools in...
Live production workflows, particularly those for sports, employ complex pipelines to deliver HD, UHD, SDR, and HDR video streams. Because content originates as HDR or SDR, effective and flexible conversions are required between formats. Today, diverse tone mapping and inverse tone mapping technologies are proposed to the industry, each with...
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"
RESEARCH PAPER / Mar 2024
/
["Compression",
"Machine learning/ Deep learning /Artificial Intelligence"]
Achieving successful variable bitrate compression with computationally simple algorithms from a single end-to-end learned image or video compression model remains a challenge. Many approaches have been proposed, including conditional auto-encoders, channel-adaptive gains for the latent tensor or uniformly quantizing all elements of the latent tensor. This paper follows the traditional...
RESEARCH PAPER / Mar 2024
/
["Volumetric Imaging",
"Machine learning/ Deep learning /Artificial Intelligence"]
The universality of the point cloud format enables many 3D applications, making the compression of point clouds a critical phase in practice. Sampled as discrete 3D points, a point cloud approximates 2D surface(s) embedded in 3D with a finite bit-depth. However, the point distribution of a practical point cloud changes...
"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...
"Modeling digital human at high-fidelity has become key in many applications such as gaming, visual effects or virtual reality. To push further realism of human faces, we introduce a first data-driven generative model of eyelashes based on physical and semantic features. This model is derived from real data by introducing...
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...
The production, transmission, and display of video content requires significant amounts of energy. Whether broadcasting or streaming a video, its display on modern televisions is responsible for a significant proportion of the energy consumption. This paper proposes a framework for analyzing and processing High Dynamic Range (HDR) video frames that...
"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...
RESEARCH PAPER / Dec 2020
/
["Volumetric Imaging",
"Machine learning/ Deep learning /Artificial Intelligence"]
We present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented method estimates any in-between view. We use three sequential convolutional neural networks for feature extraction, scene geometry estimation and view selection. Compared...
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...
