Research Papers

To realize the objectives of Integrated Sensing and Communication (ISAC) in 6G, there is a need to introduce new functionalities in 6G core (6GC) architecture that are dynamic and resource-efficient. In ISAC, sensing signals are used by a Sensing Receiver (SRx) to measure and report Sensing Data Points (SDPs) to the network. However, a direct approach involving t ...

This paper proposes a method that enhances the compression performance of the current model under development for the upcoming MPEG standard on Feature Compression for Machines (FCM). This standard aims at providing inter-operable compressed bitstreams of features in the context of split computing, i.e., when the inference of a large computer vision Neural-Networ ...

This paper presents a new coding mode deriving sample-based blending for bi-predictions with the reconstructed template. Several extensions of this regression-based geometry partitioning scheme are investigated. Finally, experimental results are provided and discussed. ...

The creation of photorealistic avatar head models from multi-view or monocular images or videos of a face is a long-standing research topic. Besides novel view synthesis, the construction of a 3D face model opens the way for emerging applications such as facial reenactment. Earlier approaches to this task relied on fitting to the input images the parameters of a ...

User localization in wireless sensing and communication systems are essential for ensuring improved quality of service. To this end, the field of radio-frequency (RF) fingerprinting, extracting user location information from multiple transmit receive points (TRPs) using the wireless channel information between the user and different TRP, has been heavily studied ...

Acquiring, encoding, transmitting, decoding, and displaying motion signals is an essential challenge in our new world of connected ecosystems, which includes immersive applications (AR, VR, XR) and video games. In addition to being potentially affected by multiple sources of disturbance (e.g., signal noise or packet loss), this motion data should be modifiable an ...

The split-inference paradigm divides an artificial intelligence (AI) model into two parts. This necessitates the transfer of intermediate feature data between the two halves. Here, effective compression of the feature data becomes vital. In this paper, we employ Z-score normalization to efficiently recover the compressed feature data at the decoder side. To exami ...

In May 2021, MPEG issued a call for proposals for the specification of a new coding format for haptic data. Following this call, a baseline reference design and associated software implementation were defined for the representation and coding of haptic data. It resulted in a complete generic framework, allowing the development of current and future haptic applica ...

Ubiquitous connectivity is essential for emerging edge-assisted machine-type communication (MTC) applications for net-worked robotics, intelligent transportation, smart surveillance, etc., which demand ultra-low latency, high data rate, reliability, and energy efficiency. These applications generate significant uplink traffic, often consisting of raw sensor data, ...

End-to-end image and video codecs are becoming increasingly competitive, compared to traditional compression techniques that have been developed through decades of manual engineering efforts. These trainable codecs have many advantages over traditional techniques, such as their straightforward adap- tation to perceptual distortion metrics and high performance in ...

Abstract—We provide an overview of the use cases for terahertz (THz) communications systems. Starting from the work recently finalized within the European Telecommunications Standards Institute (ETSI) Industry Specification Group (ISG) THz, we describe the available THz frequency bands and the distinct propagation features of those bands. Next, we describe the ke ...

Abstract—The film grain characteristics (FGC) Supplemental Enhancement Information (SEI) message was developed in 2003 and was incorporated into the H.264/AVC specification then ported into the HEVC, VVC and Versatile supplemental enhancement information (VSEI) specifications. The FGC SEI message is used to signal and convey to video decoders metadata characteriz ...

In this paper, a complexity- gains study is conducted for VVC intra partitioning to accelerate the exhaustive search in the Rate-Distortion Optimization process (RDO) . To address this problem, two techniques are proposed. The first method is a regression based technique that predicts normalized rate-distortions (RD) costs of a given Coding Unit (CU) then a thres ...

Learning human motion is a challenging task that involves modeling spatio-temporal correlations at different scales. Therefore, explicitly distinguishing these scales and their relative importance can simplify the problem at hand for a neural network. For this reason, several approaches have proposed to separate the human motion into smaller parts to ease the lea ...

Reconfigurable Intelligent Surfaces (RIS) are positioned as the key enabling technology for 6G networks as they provide ubiquitous coverage for areas with blocked LoS links. However, it is predicted that to be successful, such structures will require integration of sensors and radio network elements, therefore resulting in a Multi-Functional RIS. This Survey prov ...

The consumption of a video requires a considerable amount of energy during the various stages of its life-cycle. With a billion hours of video consumed daily, this contributes significantly to the greenhouse gas emission. Therefore, reducing the end-to-end carbon footprint of the video chain, while preserving the quality of experience at the user side, is of high ...

There have been recent efforts to learn more meaningful representations via fixed length codewords from mesh data, since a mesh serves as a complete model of underlying 3D shape compared to a point cloud. However, the mesh connectivity presents new difficulties when constructing a deep learning pipeline for meshes. Previous mesh unsupervised learning approaches t ...

Many service flows between client and server end- points traverse multiple computer networks even for a private network deployment. The challenge of reducing the complexity of such services is researched on by the European Commission- funded project PREDICT-6G, with special focus on deterministic communications. The provisioning of service flows over a multi-doma ...

Non-linear precodering outperforms linear precodering in a multi-user multi-input multi-output (MU-MIMO) system. The actual gain depends on multiple factors, including number of users, user distribution in the system, etc. Furthermore, to achieve the promised gain, non-linear precoding requires a higher implementation complexity which has prevented its adoption i ...