41 citations · 160 across the 23 of their papers we have counts for
24 papers
Octree-Context Gaussian Splatting with Multi-Order Propagation for Channel Knowledge Maps
Jinghan Zhang, Xitao Gong, Qi Wang +2
Channel knowledge maps (CKMs) can support environment-aware wireless communications by providing site-specific channel knowledge as a function of the transmitter position, the rece…
Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction
Jinghan Zhang, Xitao Gong, Qi Wang +2
Wireless radiance field (WRF) reconstruction aims to learn a continuous, queryable representation of radio frequency characteristics over 3D space and direction, from which specifi…
Exploiting Repetitions and Interference Cancellation for the 6G-V2X Sidelink Autonomous Mode
Alessandro Bazzi, Vittorio Todisco, Antonella Molinaro +3
In recent years, the Third Generation Partnership Project (3GPP) has developed the new radio-vehicle-to-everything (NR-V2X) sidelink standard, to enable direct communication betwee…
Constant Modulus Waveforms for IoT-Centric Integrated Sensing and Communications
Tian Han, Shalanika Dayarathna, Rajitha Senanayake +5
Integrated sensing and communications (ISAC) is considered a key enabler to support application scenarios such as the Internet-of-Things (IoT) in which both communications and sens…
Joint Antenna Selection and Covariance Matrix Optimization for ISAC Systems
Michail Palaiologos, Mario H. Castãneda García, Tobias Laas +2
We consider an integrated sensing and communication (ISAC) system with a single communication user and multiple targets. For the communication functionality, the achievable rate is…
Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Utilizing deep learning (DL) techniques for radio-based positioning of user equipment (UE) through channel state information (CSI) fingerprints has demonstrated significant potenti…
Deep Learning based Positioning with Multi-task Learning and Uncertainty-based Fusion
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been shown to improve the performance of several use cases for the fifth-generation (5G) New radio (NR) air interface. In this paper we investigate…
Integrated Sensing and Communications for IoT: Synergies with Key 6G Technology Enablers
Aryan Kaushik, Rohit Singh, Ming Li +7
The Internet of Things (IoT) and wireless generations have been evolving simultaneously for the past few decades. Built upon wireless communication and sensing technologies, IoT ne…
Non-uniform array design for robust LoS MIMO via convex optimization
Michail Palaiologos, Mario H. Castãneda García, Anastasios Kakkavas +2
The array design problem of multiple-input multiple-output (MIMO) systems in a line-of-sight (LoS) transmit environment is examined. As uniform array configurations at the transmit…
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based Positioning
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
Radio based positioning of a user equipment (UE) based on deep learning (DL) methods using channel state information (CSI) fingerprints have shown promising results. DL models are…
Towards Integrated Sensing and Communications for 6G
Qi Wang, Anastasios Kakkavas, Xitao Gong +1
For the next generation of mobile communications systems, the integration of sensing and communications promises benefits in terms of spectrum utilization, cost, latency, area and…
Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been recently proposed for user equipment (UE) localization in wireless communication networks, based on the channel state information (CSI) between…
CSI-Based Localization with CNNs Exploiting Phase Information
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
In this paper we study the use of the Channel State Information (CSI) as fingerprint inputs of a Convolutional Neural Network (CNN) for localization. We examine whether the CSI can…
Low Latency Scheduling Algorithms for Full-Duplex V2X Networks
Michail Palaiologos, Jian Luo, Richard A. Stirling-Gallacher +1
Vehicular communication systems have been an active subject of research for many years and are important technologies in the 5G and the post-5G era. One important use case is plato…
Position Information from Single-Bounce Reflections
Anastasios Kakkavas, Mario H. Castañeda García, Gonzalo Seco-Granados +3
In the context of positioning a target with a single-anchor, this contribution focuses on the Fisher information about the position, orientation and clock offset of the target prov…
Power Allocation and Parameter Estimation for Multipath-based 5G Positioning
Anastasios Kakkavas, Henk Wymeersch, Gonzalo Seco-Granados +3
We consider a single-anchor multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system with imperfectly synchronized transmitter (Tx) and receiv…
Cooperative Localization with Angular Measurements and Posterior Linearization
Yibo Wu, Bile Peng, Henk Wymeersch +4
The application of cooperative localization in vehicular networks is attractive to improve accuracy and coverage. Conventional distance measurements between vehicles are limited by…
5G Downlink Multi-Beam Signal Design for LOS Positioning
Anastasios Kakkavas, Gonzalo Seco-Granados, Henk Wymeersch +3
In this work, we study optimal transmit strategies for minimizing the positioning error bound in a line-of-sight scenario, under different levels of prior knowledge of the channel…
Multihop Routing for Data Delivery in V2X Networks
Yilin Li, Jian Luo, Richard A. Stirling-Gallacher +2
Data delivery relying on the carry-and-forward strategy of vehicle-to-vehicle (V2V) communications is of significant importance, however highly challenging due to frequent connecti…
Integrated Access and Backhaul Optimization for Millimeter Wave Heterogeneous Networks
Yilin Li, Jian Luo, Richard A. Stirling-Gallacher +1
By allowing a large number of links to be simultaneously transmitted, directional antenna arrays with beamforming have been envisioned as a promising candidate to reach unprecedent…
LOS MIMO Design based on Multiple Optimum Antenna Separations
Mario H. Castañeda García, Marcin Iwanow, Richard A. Stirling-Gallacher
The use of multiple antennas in a transmit and receive antenna array for MIMO wireless communication allows the spatial degrees of freedom in rich scattering environments to be exp…
Performance Limits of Single-Anchor Millimeter-Wave Positioning
Anastasios Kakkavas, Mario H. Castañeda García, Richard A. Strirling-Gallacher +1
The fundamental limits of single-anchor multi-antenna positioning are investigated. Exploiting the structure of the multiple input-multiple output-orthogonal frequency division mul…
Multi-phase transport model predictions of isobaric collisions with nuclear structures from density functional theory
Hanlin Li, Hao-jie Xu, Jie Zhao +5
Isobaric Ru+Ru and Zr+Zr collisions were performed at the Relativistic Heavy Ion Collider in 2018. Using the "a multi-phase transpor…
On the Beamformed Broadcast Signaling for Millimeter Wave Cell Discovery: Performance Analysis and Design Insight
Yilin Li, Jian Luo, Mario Castaneda +3
Availability of abundant spectrum has enabled millimeter wave (mm-wave) as a prominent candidate solution for the next generation cellular networks. Highly directional transmission…