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학술지 A Ray Tracing and Joint Spectrum Based Clustering and Tracking Algorithm for Internet of Intelligent Vehicles
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Luoyan Zhu, Danping He, Bo Ai, Ke Guan, Shuping Dang, 김준형, 정희상, Zhangdui Zhong
Journal of Communications and Information Networks, v.5 no.3, pp.265-281
Post & Telecom Press
20HH3100, [사회문제] 통신비 부담 경감을 위한 대중교통수단에서의 공공와이파이 체감 품질 개선, 정희상
Driven by the rapid growth in information services provided by the Internet and the appearance of new multimedia applications, millimeter wave is foreseen as a key enabler towards the Internet of intelligent vehicles (IoIV) for urban traffic safety enhancement. In this regard, cluster-based channel modeling has become an important research topic in the realm of emergency communications. To fully understand the cluster-based channel model, a series of vehicle-to-infrastructure (V2I) channel simulations at 22.6 GHz are conducted by a three-dimensional ray tracing (RT) simulator. The clustering and tracking algorithm is proposed and analyzed from three aspects by the obtained simulation results. The multiple signal classification estimation spectrum is applied to restrain the influence of antenna sidelobes and identify targets at first. Based on the fundamentals, the clusters can be identified and subsequently tracked using the proposed approach. The impacts of antenna sidelobes, angle resolution of beam rotation, and non-line-of-sight propagation path on the performance of clustering and tracking are evaluated. The multi-component-level RT results are adopted as comparison benchmarks, which reflect the ground truth. This work aims to provide a full picture of the clustering characteristics for designing and analyzing emergency communication systems.
KSP 제안 키워드
2.6 GHz, Angle resolution, Antenna sidelobes, Channel modeling, Communication system, Emergency Communications, Information services, Line-Of-Sight(LOS), Multi-component, Multiple Signal Classification, Non Line-of-sight(NLOS)