Detail publikace

Improved NLOS Propagation Models for Wireless Communication in mmWave bands

Originální název

Improved NLOS Propagation Models for Wireless Communication in mmWave bands

Anglický název

Improved NLOS Propagation Models for Wireless Communication in mmWave bands

Jazyk

en

Originální abstrakt

In recent years the demand for high throughput and low latency communication grew up to the point where the current wireless networks cannot satisfy it. In response to that the research community started exploring new ways of utilizing the spectrum. This effort resulted in the 5G New Radio (NR) technology bringing together the legacy 4G technologies with new ones such as Massive Machine Type Communications (mMTC) and Enhanced Mobile Broadband (eMBB). A major role in 5G NR landscape is dedicated to the communications in millimeter Wave (mmWave) frequency band, which can provide multi-gigabit throughputs and very low latency. To fully unleash the potential of mmWave, the innovations on all layers of the protocol stack are required. As the discrete-event network simulation is essential way for cross-layer end-to-end modelling and performance analysis, this paper brings results of our contribution to the well-known full-stack mmWave module of the Network Simulator 3. In this work, we propose an NYUSIM model enhancement, which allows users to accurately model attenuation of different materials. This enables users to create more accurate simulations in Non-Line-of-Sight (NLOS) environment and therefore increase the network throughput.

Anglický abstrakt

In recent years the demand for high throughput and low latency communication grew up to the point where the current wireless networks cannot satisfy it. In response to that the research community started exploring new ways of utilizing the spectrum. This effort resulted in the 5G New Radio (NR) technology bringing together the legacy 4G technologies with new ones such as Massive Machine Type Communications (mMTC) and Enhanced Mobile Broadband (eMBB). A major role in 5G NR landscape is dedicated to the communications in millimeter Wave (mmWave) frequency band, which can provide multi-gigabit throughputs and very low latency. To fully unleash the potential of mmWave, the innovations on all layers of the protocol stack are required. As the discrete-event network simulation is essential way for cross-layer end-to-end modelling and performance analysis, this paper brings results of our contribution to the well-known full-stack mmWave module of the Network Simulator 3. In this work, we propose an NYUSIM model enhancement, which allows users to accurately model attenuation of different materials. This enables users to create more accurate simulations in Non-Line-of-Sight (NLOS) environment and therefore increase the network throughput.

BibTex


@inproceedings{BUT148728,
  author="Kryštof {Zeman} and Martin {Štůsek} and Pavel {Mašek} and Jiří {Hošek}",
  title="Improved NLOS Propagation Models for Wireless Communication in mmWave bands",
  annote="In recent years the demand for high throughput and low latency communication grew up to the point where the current wireless networks cannot satisfy it. In response to that the research community started exploring new ways of utilizing the spectrum. This effort resulted in the 5G New Radio (NR) technology bringing together the legacy 4G technologies with new ones such as Massive Machine Type Communications (mMTC) and Enhanced Mobile Broadband (eMBB). A major role in 5G NR landscape is dedicated to the communications in millimeter Wave (mmWave) frequency band, which can provide multi-gigabit throughputs and very low latency. To fully unleash the potential of mmWave, the innovations on all layers of the protocol stack are required. As the discrete-event network simulation is essential way for cross-layer end-to-end modelling and performance analysis, this paper brings results of our contribution to the well-known full-stack mmWave module of the Network Simulator 3. In this work, we propose an NYUSIM model enhancement, which allows users to accurately model attenuation of different materials. This enables users to create more accurate simulations in Non-Line-of-Sight (NLOS) environment and therefore increase the network throughput.",
  booktitle="Proceedings of the 8th International Conference on Localization and GNSS 2018",
  chapter="148728",
  howpublished="online",
  year="2018",
  month="june",
  pages="1--7",
  type="conference paper"
}