activity
20182022
most citedmmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment

19 citations · 20 across the 5 of their papers we have counts for

collaborators

15 papers

eess.SP2022

Multi-Mode Spatial Signal Processor with Rainbow-like Fast Beam Training and Wideband Communications using True-Time-Delay Arrays

Chung-Ching Lin, Chase Puglisi, Veljko Boljanovic +7

Initial access in millimeter-wave (mmW) wireless is critical toward successful realization of the fifth-generation (5G) wireless networks and beyond. Limited bandwidth in existing…

eess.SP2021

A 4-Element 800MHz-BW 29mW True-Time-Delay Spatial Signal Processor Enabling Fast Beam-Training with Data Communications

Chung-Ching Lin, Chase Puglisi, Veljko Boljanovic +6

Spatial signal processors (SSP) for emerging millimeter-wave wireless networks are critically dependent on link discovery. To avoid loss in communication, mobile devices need to lo…

eess.SP202019 cited

mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment

Han Yan, Benjamin W. Domae, Danijela Cabric

Millimeter-wave communication has the potential to deliver orders of magnitude increases in mobile data rates. A key design challenge is to enable rapid beam alignment with phased…

eess.SP20201 cited

True-Time-Delay Arrays for Fast Beam Training in Wideband Millimeter-Wave Systems

Veljko Boljanovic, Han Yan, Chung-Ching Lin +4

The best beam steering directions are estimated through beam training, which is one of the most important and challenging tasks in millimeter-wave and sub-terahertz communications.…

eess.SP2020

Design of Millimeter-Wave Single-Shot Beam Training for True-Time-Delay Array

Veljko Boljanovic, Han Yan, Erfan Ghaderi +3

Beam training is one of the most important and challenging tasks in millimeter-wave and sub-terahertz communications. Novel transceiver architectures and signal processing techniqu…

eess.SP2019

Wideband Millimeter-Wave Beam Training with True-Time-Delay Array Architecture

Han Yan, Veljko Boljanovic, Danijela Cabric

Millimeter-wave communications rely on beamforming gain from both transmitters and receivers to compensate for severe propagation loss. To achieve adequate gain, beam training is r…