collaborators

5 papers

eess.SP2026

Compressive Beam-Pattern-Aware Near-field Beam Training via Total Variation Denoising

Zijun Wang, Maria Nivetha A, Ye Hu +1

Extremely large antenna arrays envisioned for 6G incurs near-field effect, where steering vector depends on angles and range simultaneously. Polar-domain near-field codebooks can f…

eess.SP2025

Cross-Layer Design for Near-Field mmWave Beam Management and Scheduling under Delay-Sensitive Traffic

Zijun Wang, Anjali Omer, Jacob Chakareski +2

Next-generation wireless networks will rely on mmWave/sub-THz spectrum and extremely large antenna arrays (ELAAs). This will push their operation into the near field where far-fiel…

eess.SP2025

Precise Near-Field Beam Training with DFT Codebook based on Amplitude-only Measurement

Zijun Wang, Shawn Tsai, Rama Kiran +1

Extremely large antenna arrays (ELAAs) operating in high-frequency bands have spurred the development of near-field communication, driving advancements in beam training and signal…

eess.SP2025

Sparsity-Aware Near-Field Beam Training via Multi-Beam Combination

Zijun Wang, Rama Kiran, Jinesh Nair +4

This paper proposes an adaptive near-field beam training method to enhance performance in multi-user and multipath environments. The approach identifies multiple strongest beams th…

eess.SP2025

Low-Complexity Near-Field Beam Training with DFT Codebook based on Beam Pattern Analysis

Zijun Wang, Rama Kiran, Shawn Tsai +1

Extremely large antenna arrays (ELAAs) operating in high-frequency bands have spurred the development of near-field communication, driving advancements in beam training design. Thi…