2019
DOI: 10.1109/mcom.2019.1800509
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Sub-6GHz Assisted MAC for Millimeter Wave Vehicular Communications

Abstract: Future connected and automated driving applications can require larger bandwidth and higher data rates than currently supported by sub-6GHz V2X technologies (e.g. DSRC, ITS-G5 or C-V2X). This has triggered the interest in developing mmWave vehicular communications. However, solutions are necessary to solve the challenges resulting from the use of high-frequency bands and the high mobility of vehicles. This paper contributes to this active research area by proposing a sub-6GHz assisted mmWave MAC that decouples… Show more

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Cited by 63 publications
(41 citation statements)
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“…The LO phasing supports 2-5GHz frequency range, with 4.5-11.2mW power consumption and Phase-shifter area (mm 2 ) 0.008 (one DL) 0.005 (shared IBF+CT) 0.16 (1) 0.03 (1) 0.068 (1) 0.047 (1) Nominal supply (V) (1) Estimated from annotated chip micrograph. (2) Normalized gains/array patterns were only reported.…”
Section: Discussionmentioning
confidence: 99%
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“…The LO phasing supports 2-5GHz frequency range, with 4.5-11.2mW power consumption and Phase-shifter area (mm 2 ) 0.008 (one DL) 0.005 (shared IBF+CT) 0.16 (1) 0.03 (1) 0.068 (1) 0.047 (1) Nominal supply (V) (1) Estimated from annotated chip micrograph. (2) Normalized gains/array patterns were only reported.…”
Section: Discussionmentioning
confidence: 99%
“…The sub-6GHz bands guarantee backwards compatibility with existing communication systems and provide new services with beamsteering, e.g. anti-collision radars or vehicle-to-vehicle communications [2].…”
Section: Introductionmentioning
confidence: 99%
“…The Third-Generation Partnership Project (3GPP) Release 15 supports V2X communications and applications on autonomous vehicles by the evolution from the Multiple-Input and Multiple-Output (MIMO) antenna and millimeter Waves (mmWave) [7], [8]. V2X communications enable the information exchanges between vehicles and other infrastructures and people (thing and/or human), providing vehicles accurate knowledge about the environment.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we propose a deep learning-based beam selection that, unlike prior works, exploits channel state information (CSI) of a sub-6 GHz channel to choose a mmWave beam. Due to its wide cell size, it is reasonable to assume the sub-6 GHz link is established [28], [29]. Assuming sub-6 GHz access is established in advance, we can utilize CSI without concern for time-and frequency-domain synchronization.…”
Section: Introductionmentioning
confidence: 99%