AI & ML
Dual-Purpose SSB Design for Joint Time-Frequency Synchronization Using Relocated DMRS
arXiv eess.SP0 views
arXiv:2610.21617v1 Announce Type: new Abstract: The synchronization signal block (SSB) is designed to synchronize a capable user-equipment (UE) with the base-station (BS) in recent cellular networks. However, the same SSB cannot be utilized by a narrowband, low-complexity, and low-power internet of things (IoT) device for synchronization. To address this limitation, this paper proposes a dual-purpose SSB (DP-SSB) to enable low-complexity IoT synchronization using the existing SSB, while ensuring uninterrupted conventional UE operation. Specifically, selected demodulation reference signal (DMRS) symbols are contiguously mapped to some physical resource blocks (PRBs) in the second and fourth symbols of the DP-SSB. These DMRS symbols are further optimized using a receiver-aware least square (LS) approach to impose a distinct time-domain structure at the output of the IoT front-end. At the IoT receiver, a reduced-rate observation of the DP-SSB is obtained after narrowband filtering and decimation that is exploited for energy detection and sequential time-frequency (TF) synchronization. For the UE, primary synchronization signal (PSS) and secondary synchronization signal (SSS)-based synchronization is preserved, while the effect of relocated DMRS on the channel estimation and physical broadcast channel (PBCH) reception is assessed. The performance of the proposed DP-SSB is evaluated in terms of detection probability, TF synchronization accuracy, IoT receiver computational complexity, and UE-side PBCH decoding. Simulation results validate the analytical detection characterization and demonstrate reliable low-power IoT synchronization performance compared with the benchmark synchronization schemes while maintaining conventional UE operation.
Source:https://arxiv.org/abs/2610.21617PreviousFrom Interference to Diversity: Mode Coloring and Two-Dimensional Modal-Time Rake Combining for Multipath OAM CommunicationsNextA hidden Markov model for unsupervised EEG-based tracking of auditory attention to a single voice
Related posts
Locus Earth: Building an Open-Source 3D Globe That Runs Directly in Your Browser 🌍
0dev.to JavaScript
Ingeniería de Software TPV Local para Comercio de Moda y Calzado: Optimización de Inventario por Lotes y Matriz de Tallas (Vol. 41)
0dev.to Database
Ingeniería de Software TPV Local para Alimentación y Supermercados: Conexión a Balanzas Homologadas y Tickets con Trazabilidad (Vol. 42)
0dev.to Database
The Autonomous Edge — Issue #13: Cheaper Agents, Harder Governance (Week of November 2, 2026)
0dev.to AI

Plano Físico vs Plano Funcional en AWS Networking: cómo los arquitectos senior resuelven lo que otros no ven
0dev.to AWS
We built Origami Tutor: free paper-craft lessons you can turn and replay in 3D
0dev.to WebDev