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…
Efficient, Adaptive Near-Field Beam Training based on Linear Bandit
Junchi Liu, Zijun Wang, Rui Zhang
This paper proposes a posterior sampling-based beam training framework for near-field communication under multi-path channels. By leveraging Thompson Sampling (TS), the framework a…
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…
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…
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…