The flexible-duplex cell-free architecture with joint AP mode selection, receive combining, and AN covariance optimization achieves substantial secrecy-rate gains over fixed-role cell-free systems for UAV uplink.
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From ground to sky: Architectur es, applications, and challenges shaping low-altitude wirele ss networks
12 Pith papers cite this work. Polarity classification is still indexing.
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An SSB-based sensing-assisted predictive robust beamforming framework is proposed for high-mobility UAV communications in LAWN that replaces CSI feedback with sensing-driven state estimation and uncertainty-aware optimization to maximize average network sum-rate.
A heterogeneous mixture-of-experts RL architecture optimizes energy-efficient multimodal ISAC in mobile V2I networks by achieving event-triggered sensing policies that minimize long-term costs while ensuring low sensing errors and reliable links.
Cooperative AI sensing with FWA CPEs using CSI features, attention, and Transformer achieves 0.63% missed detection and 6.5m positioning error for UAVs.
A dual-power phase-coded pulse waveform for full-duplex ISAC eliminates blind range and improves long-range multi-target detection under residual self-interference compared to OFDM and LFM baselines.
GW-HGNN applies heterogeneous graph learning to balance image fidelity and transmission costs in drone-based 3D scene reconstruction, outperforming prior methods on rendering metrics while running 100x faster than MOSEK.
DD-a-OFDM augments classical OFDM with DD-domain channel estimation using TF pilots, transforming ICI into Gaussian noise, and shows lower BER than OFDM plus better estimation accuracy than OTFS at reduced pilot cost.
The paper proposes a task-driven framework connecting LAE scenarios, air-ground architecture, and SCCSI co-optimization toolboxes for collaborative low-altitude systems.
SAR enables global environmental awareness and cooperative multi-platform sensing to support reliable UAV operations in the low-altitude economy.
A three-layered architecture is proposed for co-designing UAV communication and control to improve resilience against wireless challenges in low-altitude economy applications.
A comprehensive survey on low-altitude wireless network (LAWN) systems covering fundamentals, evolution of designs, performance metrics, privacy and security concerns, and airspace structuring for practical deployment.
The tutorial reviews the evolution, core principles, enabling technologies, challenges, and future directions of integrated sensing and communication (ISAC) in 6G networks.
citing papers explorer
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Flexible-Duplex Cell-Free Architecture for Secure Uplink Communications in Low-Altitude Wireless Networks
The flexible-duplex cell-free architecture with joint AP mode selection, receive combining, and AN covariance optimization achieves substantial secrecy-rate gains over fixed-role cell-free systems for UAV uplink.
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SSB-Based Sensing-Assisted Robust Beamforming for High-Mobility UAV Communications in LAWN
An SSB-based sensing-assisted predictive robust beamforming framework is proposed for high-mobility UAV communications in LAWN that replaces CSI feedback with sensing-driven state estimation and uncertainty-aware optimization to maximize average network sum-rate.
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Heterogeneous Mixture-of-Experts for Energy-Efficient Multimodal ISAC in Highly Mobile Networks
A heterogeneous mixture-of-experts RL architecture optimizes energy-efficient multimodal ISAC in mobile V2I networks by achieving event-triggered sensing policies that minimize long-term costs while ensuring low sensing errors and reliable links.
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AI-Empowered Low-Altitude Economy: Cooperative Sensing With Fixed Wireless Access
Cooperative AI sensing with FWA CPEs using CSI features, attention, and Transformer achieves 0.63% missed detection and 6.5m positioning error for UAVs.
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Waveform Design for 6G ISAC Systems Under Full-Duplex Residual Self-Interference
A dual-power phase-coded pulse waveform for full-duplex ISAC eliminates blind range and improves long-range multi-target detection under residual self-interference compared to OFDM and LFM baselines.
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LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning
GW-HGNN applies heterogeneous graph learning to balance image fidelity and transmission costs in drone-based 3D scene reconstruction, outperforming prior methods on rendering metrics while running 100x faster than MOSEK.
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Delay-Doppler Domain Signal Processing Aided OFDM (DD-a-OFDM) for 6G and Beyond
DD-a-OFDM augments classical OFDM with DD-domain channel estimation using TF pilots, transforming ICI into Gaussian noise, and shows lower BER than OFDM plus better estimation accuracy than OTFS at reduced pilot cost.
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Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy
The paper proposes a task-driven framework connecting LAE scenarios, air-ground architecture, and SCCSI co-optimization toolboxes for collaborative low-altitude systems.
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Toward Environment-Aware LAE: SAR as a Shared Sensing Infrastructure
SAR enables global environmental awareness and cooperative multi-platform sensing to support reliable UAV operations in the low-altitude economy.
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UAV Control and Communication Enabled Low-Altitude Economy: Challenges, Resilient Architecture and Co-design Strategies
A three-layered architecture is proposed for co-designing UAV communication and control to improve resilience against wireless challenges in low-altitude economy applications.
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Low-Altitude Wireless Networks: A Comprehensive Survey
A comprehensive survey on low-altitude wireless network (LAWN) systems covering fundamentals, evolution of designs, performance metrics, privacy and security concerns, and airspace structuring for practical deployment.
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The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems
The tutorial reviews the evolution, core principles, enabling technologies, challenges, and future directions of integrated sensing and communication (ISAC) in 6G networks.