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5G 3GPP-like channel models for outdoor urban microcellular and macrocellular environments

  • Katsuyuki Haneda
  • , Jianhua Zhang
  • , Lei Tan
  • , Guangyi Liu
  • , Yi Zheng
  • , Henrik Asplund
  • , Jian Li
  • , Yi Wang
  • , David Steer
  • , Clara Li
  • , Tommaso Balercia
  • , Sunguk Lee
  • , Youngsuk Kim
  • , Amitava Ghosh
  • , Timothy Thomas
  • , Takehiro Nakamura
  • , Yuichi Kakishima
  • , Tetsuro Imai
  • , Haralabos Papadopoulos
  • , Theodore S. Rappaport
  • George R. Maccartney, Mathew K. Samimi, Shu Sun, Ozge Koymen, Sooyoung Hur, Jeongho Park, Charlie Zhang, Evangelos Mellios, Andreas F. Molisch, Saeed S. Ghassamzadeh, Arun Ghosh
  • Beijing University of Posts and Telecommunications
  • Ericsson Research
  • Huawei Technologies Co., Ltd.
  • Intel Labs
  • KT
  • Nokia
  • NTT DOCOMO
  • NYU WIRELESS
  • Qualcomm Incorporated
  • Samsung DMC R&D Center
  • University of Bristol
  • University of Southern California
  • China Mobile
  • AT&T

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

200 Viittaukset (Web of Science)

Abstrakti

For the development of new 5G systems to operate in bands up to 100 GHz, there is a need for accurate radio propagation models at these bands that currently are not addressed by existing channel models developed for bands below 6 GHz. This document presents a preliminary overview of 5G channel models for bands up to 100 GHz. These have been derived based on extensive measurement and ray tracing results across a multitude of frequencies from 6 GHz to 100 GHz, and this document describes an initial 3D channel model which includes: 1) typical deployment scenarios for urban microcells (UMi) and urban macrocells (UMa), and 2) a baseline model for incorporating path loss, shadow fading, line of sight probability, penetration and blockage models for the typical scenarios. Various processing methodologies such as clustering and antenna decoupling algorithms are also presented.

AlkuperäiskieliEnglanti
Otsikko2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
KustantajaIEEE
Vuosikerta2016-July
ISBN (elektroninen)9781509016983
DOI - pysyväislinkit
TilaJulkaistu - 5 heinäk. 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE Vehicular Technology Conference - Nanjing, Kiina
Kesto: 15 toukok. 201618 toukok. 2016
Konferenssinumero: 83

Conference

ConferenceIEEE Vehicular Technology Conference
LyhennettäVTC Spring
Maa/AlueKiina
KaupunkiNanjing
Ajanjakso15/05/201618/05/2016

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