Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems

Satoshi Denno; Takeshi Hattori

doi:10.1109/ICUPC.1998.733016

Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A semi-empirical BER function with two variables of carrier to noise ratio (CNR) and delay spread is proposed and the performance of the above techniques are compared using the BER function with a channel model that simulates existing mobile communication environments. The BER function is derived by introducing the concept of "efficient number of antenna elements" into the probability density function (PDF) of the array antenna output signals. For adaptive arrays with an equalization scheme, an array-combining decision feedback equalizer (DFE) is applied.

Original language	English
Title of host publication	ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	435-439
Number of pages	5
Volume	1
ISBN (Print)	0780351061, 9780780351066
DOIs	https://doi.org/10.1109/ICUPC.1998.733016
Publication status	Published - 1998
Externally published	Yes
Event	IEEE International Conference on Universal Personal Communications, ICUPC 1998 - Florence, Italy Duration: Oct 5 1998 → Oct 9 1998

Other

Other	IEEE International Conference on Universal Personal Communications, ICUPC 1998
Country/Territory	Italy
City	Florence
Period	10/5/98 → 10/9/98

Keywords

Adaptive arrays
Adaptive equalizers
Antenna arrays
Bit error rate
Decision feedback equalizers
Delay
Mobile communication
Probability density function
Signal to noise ratio
Working environment noise

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/ICUPC.1998.733016

Cite this

Denno, S., & Hattori, T. (1998). Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems. In ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings (Vol. 1, pp. 435-439). Article 733016 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUPC.1998.733016

Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems. / Denno, Satoshi; Hattori, Takeshi.
ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 1998. p. 435-439 733016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Denno, S & Hattori, T 1998, Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems. in ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings. vol. 1, 733016, Institute of Electrical and Electronics Engineers Inc., pp. 435-439, IEEE International Conference on Universal Personal Communications, ICUPC 1998, Florence, Italy, 10/5/98. https://doi.org/10.1109/ICUPC.1998.733016

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abstract = "A semi-empirical BER function with two variables of carrier to noise ratio (CNR) and delay spread is proposed and the performance of the above techniques are compared using the BER function with a channel model that simulates existing mobile communication environments. The BER function is derived by introducing the concept of {"}efficient number of antenna elements{"} into the probability density function (PDF) of the array antenna output signals. For adaptive arrays with an equalization scheme, an array-combining decision feedback equalizer (DFE) is applied.",

keywords = "Adaptive arrays, Adaptive equalizers, Antenna arrays, Bit error rate, Decision feedback equalizers, Delay, Mobile communication, Probability density function, Signal to noise ratio, Working environment noise",

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AB - A semi-empirical BER function with two variables of carrier to noise ratio (CNR) and delay spread is proposed and the performance of the above techniques are compared using the BER function with a channel model that simulates existing mobile communication environments. The BER function is derived by introducing the concept of "efficient number of antenna elements" into the probability density function (PDF) of the array antenna output signals. For adaptive arrays with an equalization scheme, an array-combining decision feedback equalizer (DFE) is applied.

KW - Adaptive arrays

KW - Adaptive equalizers

KW - Antenna arrays

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KW - Probability density function

KW - Signal to noise ratio

KW - Working environment noise

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BT - ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings

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ER -

Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems

Abstract

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Keywords

ASJC Scopus subject areas

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