A Simple Method for Robust Vehicular Communication with Multiple Nonideal AntennasShow others and affiliations
2018 (English)In: 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2018, 2018Conference paper, Published paper (Refereed)
Abstract [en]
For critical vehicular communication services, such as traffic safety and traffic efficiency, it is advisable to design systems with robustness as the main criteria, possibly at the price of reduced peak performance and efficiency. We describe a simple, low-cost method for combining the output of L nonideal (i.e., nonisotropic) antennas to the input signal to a single-port receiver with the aim to guarantee robustness, i.e., to minimize the probability that K consecutive packets arriving from the worst-case angle-of-arrival are decoded incorrectly. To minimize complexity, the combining network does not estimate or use channel state information (complex channel gains, noise levels, etc.). The combining network consists of L -1 analog phase shifters whose phases are affine functions of time. For a general L and the case when the packet error probability decays exponentially with the received SNR, the optimum slopes of the affine functions can be computed by solving an optimization problem that depends on the antenna far field functions. We provide an analytical solution for the special case of L $=2$ antennas, which turns out to be independent of the antenna patterns. In an experimental setup consisting of two monopole antennas mounted on the roof of a Volvo XC90, the proposed combining method is shown to give significant performance gains compared to using just one of the antennas.
Place, publisher, year, edition, pages
2018.
Keywords [en]
Channel state information, Complex networks, Directional patterns (antenna), Efficiency, Monopole antennas, Signal receivers, Analog phase shifter, Angle of arrival, Complex channels, Optimization problems, Packet error probability, Peak performance, Traffic efficiency, Vehicular communications, Signal to noise ratio
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35647DOI: 10.1109/ICMIM.2018.8443547Scopus ID: 2-s2.0-85053536462ISBN: 9781538617250 (print)OAI: oai:DiVA.org:ri-35647DiVA, id: diva2:1261252
Conference
2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2018, 16 April 2018 through 18 April 2018
2018-11-062018-11-062023-05-25Bibliographically approved