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Beam Alignment-Based mmWave Spectrum Sensing in Cognitive Vehicular Networks

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Citation Author(s):
Caili Guo
Submitted by:
He Zhang
Last updated:
11 November 2019 - 8:52pm
Document Type:
Presentation Slides
Document Year:
2019
Event:
Presenters Name:
He Zhang
Paper Code:
#1570567800

Abstract 

Abstract: 

Millimeter wave (mmWave) communication is a promising technology to alleviate the shortage of spectrum resources in vehicular networks. To use mmWave spectrum resources more efficiently, in this paper we propose a novel beam alignment-based vehicular mmWave spectrum sensing model and algorithm. We first establish the spectrum sensing model on the basis of characteristics of mmWave signals and then derive the test statistics. Based on the sensing model, the beam alignment-based vehicular mmWave spectrum sensing (BA-VMSS) algorithm is proposed by utilizing the temporal correlation of the sensing data caused by vehicular movement. As a result, the probability of detection is derived. Simulation results validate the efficiency of the proposed algorithm.

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Dataset Files

#1570567800 Beam Alignment-Based mmWave Spectrum Sensing in Cognitive Vehicular Networks.pptx

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