Measurement-based Double-Directional Polarimetric Characterization of Outdoor Massive MIMO Propagation Channels at 3.5GHz

Le Hao, Jose Rodriguez-Pineiro, Xuesong Cai, Xuefeng Yin, Jingxiang Hong, Gert Frolund Pedersen, Stefan Schwarz

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications since it can improve network throughput, capacity, spatial efficiency, etc. utilizing large-scale antenna arrays. In this paper, we study the direction of departure (DOD) and direction of arrival (DOA) power spectra and the angular spreads for suburban line-of-sight (LoS) environment. Our study is based on a measurement campaign conducted at a carrier frequency of 3.5GHz, with a bandwidth of 160MHz and ±45° dual-polarized 4×8 planar and cylindrical antenna arrays at the transmitter and the receiver, respectively. The space-Alternating generalized expectation-maximization (SAGE) algorithm is applied to jointly estimate the DOA, DOD, delay and complex amplitude of the propagation channel measured by the massive MIMO system. Results show that the double-directional channel characteristics exhibit dependence with the employed polarization combination. The obtained characterization results are of great value for the analysis of polarization-dependent design and antenna selection strategies for MIMO systems.

Original languageEnglish
Title of host publication2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154787
ISBN (Print)9781728154794
DOIs
Publication statusPublished - 2020 May
Externally publishedYes
Event21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020 - Atlanta, United States
Duration: 2020 May 262020 May 29

Conference

Conference21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
Country/TerritoryUnited States
CityAtlanta
Period2020/05/262020/05/29

Bibliographical note

Funding Information:
This work was partially supported by the National Natural Science Foundation of China (Grants No. 61850410529 and 61971313).

Publisher Copyright:
© 2020 IEEE.

Subject classification (UKÄ)

  • Telecommunications
  • Communication Systems

Free keywords

  • channel characteristics and polarization
  • large-scale antenna array
  • Massive MIMO

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