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Tingting Zhang

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Aug 2026

Two-Step Joint Timing and Frequency Synchronization Scheme for LEO Satellite via Chirp Signals

This paper investigates a two-step joint synchronization algorithm based on the Chirp signal. We first establish a Low Earth Orbit (LEO) channel model that incorporates time-frequency selective fading, characterized by severe Doppler kinematics, multipath propagation, and atmospheric scintillation. Then we propose a tw...

Yu-Tao Jian, Tian-Hao Liang, Ting-Ting Zhang · 0 citations
Preprint Sep 2026

Joint Localization and Data Detection in Ambient Backscatter Communications: Uncertainty-Preserving Inference and Cross-Frame Geometry Consensus

The Geometry-aware Frame Network is developed, which projects channel frequency responses onto a physics-derived delay--angle-of-arrival lattice and aggregates sign-robust evidence across orthogonal frequency-division multiplexing symbols to form a shared geometry posterior over physically feasible candidates.

Xian-Hua Yu, Dong Li, Bo-Wen Gu et al. · 0 citations
Conference Aug 2026

Two-Stage Joint Angle-Distance Localization for Near-Field Communications

Extremely large-scale (XL) antenna arrays and wideband mmWave/THz signaling are expected to enable 6G links with highly directional transmission and near-field beam focusing. In the radiating near-field, the received wavefront is spherical and the array response depends jointly on angle and distance. When combined with...

Ai-Biao Zhang, Wei-Zheng Zhang, Wei Wang et al. · 0 citations
2026

Flow Matching for Fast Channel Knowledge Map Construction in AI-Native 6G Networks

Channel knowledge maps (CKMs) or radio maps are a key enabler for AI-native 6G networks, supporting proactive resource allocation, coverage optimization, and environment-aware wireless intelligence. Recent generative approaches have demonstrated improved realism and structural fidelity compared with purely discriminati...

Ai-Biao Zhang, Wei-Zheng Zhang, Chiya Zhang et al. · 0 citations
2026

Joint Communication Topology Formation and Task Offloading for Heterogeneous UAV Swarms

The rapid evolution of swarm intelligence and edge computing has highlighted the potential of Uncrewed Aerial Vehicle (UAV) swarms for data-driven services. However, heterogeneous capabilities and time-varying communication conditions pose significant challenges for efficient resource orchestration. This letter propose...

Guangyu Lei, Tianhao Liang, Huahao Ding et al. · 1 citation

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