Predictor Antenna Systems: Exploiting Channel State Information for Vehicle Communications
First, in Paper A, we study the PA system in the presence of the so-called spatial mismatch problem, i.e., when the channel observed by the PA is not exactly the same as the one experienced by the RA. We derive closed-form expressions for the throughput-optimized rate adaptation, and evaluate the system performance in various temporally-correlated conditions for the scattering environment. Our results indicate that PA-assisted adaptive rate adaptation leads to a considerable performance improvement, compared to the cases with no rate adaptation. Then, to simplify e.g., various integral calculations as well as different operations such as parameter optimization, in Paper B, we propose a semi-linear approximation of the Marcum Q-function, and apply the proposed approximation to the evaluation of the PA system. We also perform deep analysis of the effect of various parameters such as antenna separation as well as CSI estimation error. As we show, our proposed approximation scheme enables us to analyze PA systems with high accuracy.
The second part of the thesis focuses on improving the spectral efficiency of the PA system by involving the PA into data transmission. In Paper C, we analyze the outage-limited performance of PA systems using hybrid automatic repeat request (HARQ). With our proposed approach, the PA is used not only for improving the CSI in the retransmissions to the RA, but also for data transmission in the initial round. As we show in the analytical and the simulation results, the combination of PA and HARQ protocols makes it possible to improve the spectral efficiency and adapt transmission parameters to mitigate the effect of spatial mismatch.
predictor antenna (PA)
channel state information (CSI)
integrated access and backhaul (IAB)
hybrid automatic repeat request (HARQ)
Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem
Fifth Generation Communication Automotive Research and innovation (5GCAR)
Europeiska kommissionen (Horisont 2020), 2017-06-01 -- 2019-05-31.
Informations- och kommunikationsteknik
Chalmers tekniska högskola
Opponent: Dr. Dinh-Thuy Phan Huy, Orange Labs, France