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Superimposed or time-division multiplexed pilots in time-varying channels: an informative consideration

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IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 770 - 774

https://doi.org/10.1145/1582379.1582546

Published: 21 June 2009 Publication History

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Abstract

Two major techniques are used to embed pilots into data, time-division multiplexed (TDM) and superimposed (SIP). In this paper, we compare these two techniques in an informative consideration under time varying fading channels. Besides the ordinary SIP without dealing with the interference, we also study two different kinds of performance improved iterative SIP: interference subtraction (IS) and interference exploitation (IE). Using Wiener filtering and accounting estimation error, the capacity lower bounds and BER expressions are derived. Numerical results show that great potential benefits are brought by SIP if the interference is utilized properly. With this potential exploited, SIP shows great superior to PSAM, especially in high speed environments.

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Zhang KWang WYin H(2020)Simultaneous Channel Estimation and Data Detection Based on Superimposed Training for Many Access MIMO System in UplinkIEEE Access10.1109/ACCESS.2020.30060878(123799-123812)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3006087
Talvitie JLe vanen TRenfors M(2010)Channel estimation in time-varying flat-fading channel using superimposed pilots with interference avoidance2010 7th International Symposium on Wireless Communication Systems10.1109/ISWCS.2010.5624397(209-213)Online publication date: Sep-2010
https://doi.org/10.1109/ISWCS.2010.5624397

Index Terms

Superimposed or time-division multiplexed pilots in time-varying channels: an informative consideration
1. Mathematics of computing
  1. Information theory

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Published In

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

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Published: 21 June 2009

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Ministry of Science and Technology of the People's Republic of China

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IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Zhang KWang WYin H(2020)Simultaneous Channel Estimation and Data Detection Based on Superimposed Training for Many Access MIMO System in UplinkIEEE Access10.1109/ACCESS.2020.30060878(123799-123812)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3006087
Talvitie JLe vanen TRenfors M(2010)Channel estimation in time-varying flat-fading channel using superimposed pilots with interference avoidance2010 7th International Symposium on Wireless Communication Systems10.1109/ISWCS.2010.5624397(209-213)Online publication date: Sep-2010
https://doi.org/10.1109/ISWCS.2010.5624397

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Time-varying channel estimation for MIMO/OFDM systems using superimposed training and basis expansion models

Linearly time-varying channel estimation for MIMO/OFDM systems using superimposed training

Optimal Superimposed Training Design for Spatially Correlated Fading MIMO Channels

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Time-varying channel estimation for MIMO/OFDM systems using superimposed training and basis expansion models

Linearly time-varying channel estimation for MIMO/OFDM systems using superimposed training

Optimal Superimposed Training Design for Spatially Correlated Fading MIMO Channels

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