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 hetero…
"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 to support frame changing resolut…
"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 uplink, thereby impacting the…
Research Paper / Jun 2024
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 beyond ha…
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 instea…
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 multi-modal data and a distributed computation resource.…
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 …
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 p…
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 novel index-based meth…
"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 spaces. To address the need for an int…
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 methods where both sides of …
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…
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 the encoder side. This paper proposes a speed- up tec…
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 the promise to creat…
"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 …
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 drastically as its bit-depth increases, req…
"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…