Junil Choi
KAIST
168 Papers
897 Citations
Junil Choi is an academic researcher from KAIST. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 31, co-authored 168 publications. Previous affiliations of Junil Choi include Seoul National University & University of Texas at Austin.
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Papers
Millimeter-Wave Vehicular Communication to Support Massive Automotive Sensing
Junil Choi,Vutha Va,Nuria Gonzalez-Prelcic,Robert C. Daniels,Chandra R. Bhat,Robert W. Heath +5 more
TL;DR: In this paper, the authors make the case that mmWave communication is the only viable approach for high bandwidth connected vehicles and highlight the motivations and challenges associated with using mmWave for vehicle-to-vehicle and V2V applications.
799
IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System
TL;DR: The proposed IEEE 802.11ad-based radar meets the minimum accuracy/resolution requirement of range and velocity estimates for LRR applications and exploits the preamble of a single-carrier physical layer frame, which consists of Golay complementary sequences with good correlation properties that make it suitable for radar.
Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs
TL;DR: A near maximum likelihood detector for uplink multiuser massive MIMO systems is proposed where each antenna is connected to a pair of one-bit ADCs, i.e., one for each real and imaginary component of the baseband signal.
586
Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory
TL;DR: Practical open-loop and closed-loop training frameworks are proposed that offer better performance in the data communication phase, especially when the signal-to-noise ratio is low, the number of transmit antennas is large, or prior channel estimates are not accurate at the beginning of the communication setup, all of which would be mostly beneficial for massive MIMO systems.
519
•Posted Content
Millimeter Wave Vehicular Communication to Support Massive Automotive Sensing
Junil Choi,Vutha Va,Nuria Gonzalez-Prelcic,Robert C. Daniels,Chandra R. Bhat,Robert W. Heath +5 more
TL;DR: The case is made that mmWave communication is the only viable approach for high bandwidth connected vehicles and the overhead of mmWave beam training is proposed, showing that the beam alignment overhead can be reduced by using position information obtained from DSRC.
441