7 papers
Coverage Analysis for 3D Indoor Terahertz Communication System Over Fluctuating Two-Ray Fading Channels
Zhifeng Tang, Nan Yang, Salman Durrani +3
In this paper, we develop a novel analytical framework for a three-dimensional (3D) indoor terahertz (THz) communication system. Our proposed model incorporates more accurate model…
Doppler-Robust Maximum Likelihood Parametric Channel Estimation for Multiuser MIMO-OFDM
Enrique T. R. Pinto, Markku Juntti
The high directionality and intense Doppler effects of millimeter wave (mmWave) and sub-terahertz (subTHz) channels demand accurate localization of the users and a new paradigm of…
Sequential MAP Parametric OFDM Channel Estimation for Joint Sensing and Communication
Enrique T. R. Pinto, Markku Juntti
Uplink sensing is still a relatively unexplored scenario in integrated sensing and communication which can be used to improve positioning and sensing estimates. We introduce a pilo…
Low-Complexity Near-Field Channel Estimation for Hybrid RIS Assisted Systems
Rafaela Schroeder, Jiguang He, Hamza Djelouat +1
We investigate the channel estimation (CE) problem for hybrid RIS assisted systems and focus on the near-field (NF) regime. Different from their far-field counterparts, NF channels…
A Novel Application of Polynomial Solvers in mmWave Analog Radio Beamforming
Snehal Bhayani, Praneeth Susarla, S. S. Krishna Chaitanya Bulusu +3
Beamforming is a signal processing technique where an array of antenna elements can be steered to transmit and receive radio signals in a specific direction. The usage of millimete…
Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
Hamza Djelouat, Mikko J. Sillanpää, Markku Juntti
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns. In particular, we consider a…
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance
Hamza Djelouat, Mikko J. Sillanpää, Markus Leinonen +1
This paper addresses the joint user identification and channel estimation (JUICE) problem in machine-type communications under the practical spatially correlated channels model wit…