Heath Team Wins First Runner-Up for 5-MICC
A student team supervised by WNCG professor Robert Heath won the first runner-up prize at the Signal Processing Society Five-Minute Video Clip Contest (5-MICC).
A student team supervised by WNCG professor Robert Heath won the first runner-up prize at the Signal Processing Society Five-Minute Video Clip Contest (5-MICC).
WNCG Prof. Robert W. Heath, Jr. recently received the 2017 IEEE Marconi Prize Paper Award in Wireless Communications for his work entitled “Spatially Sparse Precoding in Millimeter Wave MIMO Systems,” published in the IEEE Transactions on Wireless Communications in March 2014.
The FCC recently announced new spectrum for millimeter wave. The new rules open nearly 11 gigahertz of high-frequency spectrum for mobile and fixed wireless broadband, which include 3.85 GHz of currently licensed spectrum and 7 GHz of unlicensed spectrum. This decision could prove critical for the U.S. to retain its leadership in the field of wireless communications.
Wireless communication via millimeter wave (mmWave) frequencies is a key component of future cellular systems. mmWave deployments will use beamforming with large antenna arrays by both the base stations and mobile stations to ensure sufficient received signal power. Prior work on coverage and rate of mmWave cellular networks focused mainly on the case when base stations and mobile users beamfomring vectors are perfectly designed for maximum beamforming gains.
Mobile wearable computing devices are rapidly making inroads due to advancements in miniature electronics fabrication technology, mobile wireless communication, efficient batteries, and increasingly capable data analytics. The major driver of the mobile electronics market has been fitness and healthcare gadgets. Recently, a new class of high-end wearable devices has emerged with relaxed power constraints and high data rate requirements.
Surface transportation safety can be enhanced by the use of wireless technologies, mainly automotive radar and vehicle-to-vehicle (V2V) communication. Automotive radar provides a high-resolution low-latency approach for a continuous automatic detection and ranging of both communication-enabled and non-communication-enabled transportation users. V2V systems rely on the collaborative communication between vehicles to achieve a real-time cooperative detection and ranging.