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 availabilityof a variety of competing and coexisting wireless systems, wireless connectivity is becoming a commodity. This article argues that communication engineers in the post-5G era should ex ...
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 heterog ...
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 to state-of-the-art approach ...
"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 resoluti ...
"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 ...
Federated learning (FL) is a distributed machine learning technique developed and pursued in part to address data privacy and security issues. Participant selection is critical to determine the latency of the training process in a heterogeneous FL architecture, where users with different hardware setups and wireless channel conditions communicate with their base ...