Doppler Frequency Estimation using Overlap Frequency Domain Equalization

Kohei Hashimoto, Satoshi Denno, Kazuoki Ichikawa, Takashi Okada, Yuji Aburakawa

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

Abstract

Heterogeneous network concept is going to be utilized in the fifth generation mobile communication systems in order to enhance both network throughput and user throughput. Many techniques have been investigated to increase the throughput. However, the techniques are easily degraded with many causes. Performance degradation could be avoided with assistance of some side information such as location of a terminal and Doppler frequency. If Doppler frequency is known before the signal transmission, throughput reduction can be alleviated by selecting modulation schemes with lower cardinality. This paper proposes Doppler frequency estimation technique using overlap frequency domain equalization and the optimum FDE weight which is derived for the proposed estimation technique. The proposed estimation technique with the proposed FDE weight attains better estimation performance than that with the conventional MMSE weight.

Original languageEnglish
Title of host publication2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
PublisherIEEE Computer Society
Pages256-261
Number of pages6
ISBN (Electronic)9781538657577
DOIs
Publication statusPublished - May 10 2019
Event21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 - Chiang Rai, Thailand
Duration: Nov 25 2018Nov 28 2018

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2018-November
ISSN (Print)1347-6890

Conference

Conference21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
Country/TerritoryThailand
CityChiang Rai
Period11/25/1811/28/18

Keywords

  • Block Signal Processing
  • Doppler frequency Overlap FDE

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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