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...
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...
"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...
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...
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,...
"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...
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...
"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...
"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
/ NAB BEITC 2024 / Apr 2024
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["HDR"]
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)...
"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"
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...
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...
