Cognitive Reconfigurable Embedded Systems Lab
Millimeter-Wave Massive MIMO Mobile Network: Physical Layer Perspective and Hardware Impairments
Millimeter-wave (mmW) wireless communication will be a key component in the future cellular networks (5G and beyond). The mmW system has unique characteristics as compared to conventional communication system. It features massive antenna array in both base station and user equipment, and communication channel has sparse scattering. Therefore, many physical layer procedures from current networks will dramatically change. Besides, a rethink in transceiver hardware architecture and impact from hardware impairments are necessary in system with an order of magnitude higher carrier frequency, processing bandwidth, and number of antenna elements. In this study, we have two goals:
1) We provide an understanding of how unique features in mmW communication (e.g., channel sparsity, large antenna array, etc.) affect system performance in physical layer procedures including initial access, transceiver synchronization, channel tracking, beamforming and multiplexing. All the above studies are closely aligned with modeling power consumption and hardware impairment in practical mmW transceivers.
2) We develop and analyze a novel DSP algorithm to improve performance of above physical layer procedures and save hardware power consumption and cost in mmW networks.
- V. Boljanovic, H. Yan, E. Ghaderi, D. Heo, S. Gupta, D. Cabric, “Design of Millimeter-Wave Single-Shot Beam Training for True-Time-Delay Array,” IEEE SPAWC, May 2020
- H. Yan and D. Cabric, “Compressive Initial Access and Beamforming Training for Millimeter-Wave Cellular Systems,” IEEE Journal of Selected Topics in Signal Processing, Jul. 2019.
- H. Yan, S. Ramesh, T. Gallagher, C. Ling, D. Cabric, “Performance, Power, and Area Design Trade-offs in Millimeter-Wave Transmitter Beamforming Architectures,” IEEE Circuits and Systems Magazine, Second Quarter 2019
- V. Boljanovic, H. Yan, and D. Cabric, “Tracking Sparse mmWave Channel under Time Varying Multipath Scatterers,” Asilomar Conference on Signals, Systems, and Computers, Oct. 2018
- H.Yan, S. Chaudhari, D. Cabric, “Wideband Channel Tracking for mmWave MIMO System with Hybrid Beamforming Architecture,” (invited paper) in IEEE CAMSAP’17, Dec. 2017.
- H. Yan and D. Cabric, “Digital Predistortion for Hybrid Precoding Architecture in Millimeter-wave Massive MIMO Systems,” in IEEE ICASSP’17, Mar. 2017.