Estimating Timing Advance for Sub-THz Distributed Systems from Sub-10 GHz Channel State Information
Nishant Gupta, Muris Sarajlic, Erik G. Larsson
Abstract
Dual-band wireless architectures transmit the control information over the sub-10 GHz while reserving sub-THz for high data rate links, offering notable capacity gains. However, a critical bottleneck in such systems is timing synchronization. Due to the narrow beams of the sub-THz radio units (RUs), when the dual-band user equipment (UE) rotates or moves, it becomes necessary to switch the transmission between the sub-THz RUs. This switching requires recalibrating the timing of uplink (UL) and downlink (DL) transmissions to prevent communication disruptions. Moreover, for sub-THz RUs, the method introduces significant overhead and latency, especially when switches are frequent. Leveraging the reliable sub-10 GHz band offers greater resilience to UE mobility, making it suitable for control signalling. Thus, in this paper, we propose a deep learning-based algorithm that infers the propagation delay from the sub-THz RUs to the UE using sub-10 GHz channel characteristics. The inferred delay is used for calculating the timing advance for UL transmissions without the need for two-way synchronization. Simulation results show that the RU switch can be made seamless at the physical layer, without incurring any synchronization-related latency.
Create a lesson
Related papers
From Multimode Near-Field Coupling to Friis
Mats Gustafsson
Distributed Sensing on a 110-kV Overhead-Line Maintenance Operation on an Operational Optical Ground Wire
Konstantinos Alexoudis, Torm Järvelill, Hendrik Johann Kerm et al.
Stable Filters for Generative Modeling of Graph Signals
Martin Schmidt, Gonzalo Mateos
Learning Array Signal Topologies as Conditional Neural Manifolds
Julian P. Merkofer, Vincent van de Schaft, Ruud J. G. van Sloun
QUBO Formulations of the Downlink MIMO Scheduling Problem in 5G Base Stations
Olli Apilo, Jorma Kilpi
Massive MIMO ISAC Under Target-Angle Uncertainty: CRLB Outage Analysis and Robust Resource Allocation
Smriti Uniyal, Tianyu Fang, Van-Dinh Nguyen et al.