2019/06/05 by Javier Rodríguez-Fernández, Rodriguez-Fernandez, Javier, Nuria González‐Prelcic +2
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #FOS: Electrical engineering #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1906.02169
openalex publication_date 2019/06/05 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
The large beamforming gain used to operate at millimeter wave (mmWave)\nfrequencies requires obtaining channel information to configure hybrid antenna\narrays. Previously proposed wideband channel estimation strategies, however,\nassume perfect time-frequency synchronization and neglect phase noise, making\nthese approaches impractical. Consequently, achieving time-frequency\nsynchronization between transmitter and receiver and correcting for phase noise\n(PN) as the channel is estimated, is the greatest challenge yet to be solved in\norder to configure hybrid precoders and combiners in practical settings. In\nthis paper, building upon our prior work, we find the Maximum A Posteriori\n(MAP) solution to the joint problem of timing offset (TO), carrier frequency\noffset (CFO), PN and compressive channel estimation for broadband mmWave MIMO\nsystems with hybrid architectures. Simulation results show that, using\nsignificantly less training symbols than in the beam training protocol in the\n5G New Radio communications standard, joint synchronization and channel\nestimation at the low SNR regime can be achieved, and near-optimum data rates\ncan be attained.\n