System Level Simulation of mmWave Based Mobile Xhaul Networks

Kyungsik Min, Minchae Jung, Seiyun Shin, Seokki Kim, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

To support tens of Giga-bits/second (Gbps) data rate, 5G mobile communication systems consider the integration of backhaul and fronthaul links into Xhaul networks. This paper introduces the system-level simulation for mmWave based mobile Xhaul networks. Network scenarios, hybrid beamforming, with large antenna elements, and link-level models are discussed based on the results of the system-level simulation for the mobile Xhaul network. System-level simulation results show that the mobile Xhau network using a 40 GHz carrier frequency band can support a 20 Gbps data rate.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
DOIs
Publication statusPublished - 2017 Nov 14
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 2017 Jun 42017 Jun 7

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-June
ISSN (Print)1550-2252

Conference

Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017
CountryAustralia
CitySydney
Period17/6/417/6/7

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.R0101-16-244, Development of 5G Mobile Communication Technologies for Hyper-connected smart services)

Funding Information:
This work was supported by Institute for Information and communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.R0101-16-244, Development of 5G Mobile Communication Technologies for Hyperconnected smart services).

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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