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

Satoshi Denno, Takeshi Hattori

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages435-439
Number of pages5
Volume1
ISBN (Print)0780351061, 9780780351066
DOIs
Publication statusPublished - 1998
Externally publishedYes
EventIEEE International Conference on Universal Personal Communications, ICUPC 1998 - Florence, Italy
Duration: Oct 5 1998Oct 9 1998

Other

OtherIEEE International Conference on Universal Personal Communications, ICUPC 1998
CountryItaly
CityFlorence
Period10/5/9810/9/98

Fingerprint

Decision feedback equalizers
Antenna arrays
Probability density function
Antennas
Communication

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

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). [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 proceedingConference 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
Denno S, Hattori T. 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. Institute of Electrical and Electronics Engineers Inc. 1998. p. 435-439. 733016 https://doi.org/10.1109/ICUPC.1998.733016
Denno, Satoshi ; Hattori, Takeshi. / Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems. ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 1998. pp. 435-439
@inproceedings{235cbe0e3bf7403cb790df167001316e,
title = "Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems",
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",
author = "Satoshi Denno and Takeshi Hattori",
year = "1998",
doi = "10.1109/ICUPC.1998.733016",
language = "English",
isbn = "0780351061",
volume = "1",
pages = "435--439",
booktitle = "ICUPC 1998 - IEEE 1998 International Conference on Universal Personal Communications, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Semi-empirical performance estimation of adaptive arrays and decision feedback equalizers in micro-cellular systems

AU - Denno, Satoshi

AU - Hattori, Takeshi

PY - 1998

Y1 - 1998

N2 - 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.

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

KW - Bit error rate

KW - Decision feedback equalizers

KW - Delay

KW - Mobile communication

KW - Probability density function

KW - Signal to noise ratio

KW - Working environment noise

UR - http://www.scopus.com/inward/record.url?scp=84959261301&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959261301&partnerID=8YFLogxK

U2 - 10.1109/ICUPC.1998.733016

DO - 10.1109/ICUPC.1998.733016

M3 - Conference contribution

SN - 0780351061

SN - 9780780351066

VL - 1

SP - 435

EP - 439

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -