7 papers
Adaptive Payload-Aided Near-Field Beam Tracking via Thompson Sampling
Junchi Liu, Zijun Wang, Shawn Tsai +1
Extremely large antenna arrays at high frequencies substantially extend the radiative near-field region in 6G networks, making mobile beam alignment depend jointly on user angle an…
GP Bandit-Assisted Two-Stage Sparse Phase Retrieval for Amplitude-Only Near-Field Beam Training
Zijun Wang, Shawn Tsai, Ye Hu +1
The transition to Extremely Large Antenna Arrays (ELAA) in 6G introduces significant near-field effects, necessitating robust near-field beam training strategies in multi-path envi…
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…
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…
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…
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…