"Restricting Randomness in Compressive Sampling for mmWave Link Configuration Robust to CFO"

Nitin Jonathan Myers , PhD student, Dept. of Electrical and Computer Engineering, The UT Austin

June 10th (Monday), 10:00am
Harold Frank Hall (HFH), Room 4164

Millimeter-wave (mmWave) bands offer a large amount of spectrum that can support many high data rate applications. Although current circuit technology can support communication at mmWave, it comes with a lot of challenges from a signal processing perspective. For example, most mmWave hardwares do not allow full access to the radio channel. Hardware non-idealities like carrier frequency offset (CFO) and phase noise are significant at mmWave, when compared to lower frequency systems. Due to these differences, conventional radio link configuration algorithms can incur a lot of training overhead when applied to mmWave systems. In this talk, I will discuss about some of my recent research on robust mmWave link configuration.

MmWave link configuration algorithms, based on compressed sensing (CS), exploit the sparse nature of mmWave channels to reduce the training overhead. Most of the existing CS-based solutions, however, ignore CFO, and perform poorly under such an impairment. As CFO introduces non-affine perturbations to the sensing matrix, optimizing CS matrices for robustness to CFO can be hard. In this talk, I will introduce the concepts of spatial mask and trajectory, to transform the robust CS matrix design problem into a tractable one. I will show how a class of robust CS matrices can be designed by restricting the randomness in subsampling trajectories. Our CS solution can be realized in ultra-low resolution mmWave hardwares, and achieves better performance than recent self calibration-based CS techniques.

About Nitin Jonathan Myers :

Nitin Jonathan Myers received his Dual Degree (B.Tech. and M.Tech.) in Electrical Engineering from the Indian Institute of Technology Madras in 2016. He is currently working towards his Ph.D. degree in Electrical and Computer Engineering (ECE) at The University of Texas at Austin. His research interests lie in the areas of low resolution receivers, optimization theory, and robust signal processing. Mr. Myers received the 2018 and 2019 ECE Research Awards, and the University Graduate Continuing Fellowship 2019, from the Cockrell School of Engineering, UT Austin. He was a Best Student Paper Award Finalist at IEEE SPAWC 2017. During his undergraduate days at IIT Madras, he received the Institute Silver Medal in 2016 and the DAAD WISE scholarship in 2014.

Hosted by: Professor Upamanyu Madhow, WCSL Group