Performance analysis and optimal power allocation for linear receivers based on superimposed training

Abla Kammoun; Karim Abed-Meraim

doi:10.1186/1687-1499-2013-227

Performance analysis and optimal power allocation for linear receivers based on superimposed training

Abla Kammoun^*, Karim Abed-Meraim

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this paper, we derive a performance comparison between two training-based schemes for multiple-input multiple-output systems. The two schemes are the time-division multiplexing scheme and the recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form expression for the bit error rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.

Original language	English (US)
Article number	227
Journal	EURASIP Journal on Wireless Communications and Networking
Volume	2013
Issue number	1
DOIs	https://doi.org/10.1186/1687-1499-2013-227
State	Published - Dec 2013
Externally published	Yes

Keywords

Linear receiver
MIMO systems performance
Superimposed training sequence

ASJC Scopus subject areas

Signal Processing
Computer Science Applications
Computer Networks and Communications

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10.1186/1687-1499-2013-227

Cite this

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title = "Performance analysis and optimal power allocation for linear receivers based on superimposed training",

abstract = "In this paper, we derive a performance comparison between two training-based schemes for multiple-input multiple-output systems. The two schemes are the time-division multiplexing scheme and the recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form expression for the bit error rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.",

keywords = "Linear receiver, MIMO systems performance, Superimposed training sequence",

author = "Abla Kammoun and Karim Abed-Meraim",

note = "Funding Information: This research has been supported by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering). ",

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AU - Abed-Meraim, Karim

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PY - 2013/12

Y1 - 2013/12

N2 - In this paper, we derive a performance comparison between two training-based schemes for multiple-input multiple-output systems. The two schemes are the time-division multiplexing scheme and the recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form expression for the bit error rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.

AB - In this paper, we derive a performance comparison between two training-based schemes for multiple-input multiple-output systems. The two schemes are the time-division multiplexing scheme and the recently proposed data-dependent superimposed pilot scheme. For both schemes, a closed-form expression for the bit error rate (BER) is provided. We also determine, for both schemes, the optimal allocation of power between the pilot and data that minimizes the BER.

KW - Linear receiver

KW - MIMO systems performance

KW - Superimposed training sequence

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DO - 10.1186/1687-1499-2013-227

M3 - Article

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ER -

Performance analysis and optimal power allocation for linear receivers based on superimposed training

Abstract

Keywords

ASJC Scopus subject areas

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