Information capacity of Wyner's cellular network with LMMSE receivers

Boon Loong Ng; Jamie S. Evans; Stephen Hanly; Alex J. Grant

doi:10.1109/ICC.2004.1312556

Information capacity of Wyner's cellular network with LMMSE receivers

Boon Loong Ng^*, Jamie S. Evans, Stephen Hanly, Alex J. Grant

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

We derive the Linear Minimum Mean Square Error (LMMSE) receiver for Wyner's model of a linear cellular array. By exploiting the special structure of the channel model, we obtain explicit Mean Square Error (MSE) expressions and information capacity formulae for both finite-sized as well as infinite-sized linear cellular arrays. We show that the performance of an individual user becomes insensitive to the array size for large array sizes and that the proportion of users achieving almost the same performance converges to one, as the array size tends to infinity. The effects of intercell interference and noise on the performance of each user are also investigated.

Original language	English
Title of host publication	2004 IEEE International Conference on Communications
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	583-587
Number of pages	5
Volume	1
ISBN (Print)	0780385330, 0780385330
DOIs	https://doi.org/10.1109/ICC.2004.1312556
Publication status	Published - 2004
Externally published	Yes

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10.1109/ICC.2004.1312556

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title = "Information capacity of Wyner's cellular network with LMMSE receivers",

abstract = "We derive the Linear Minimum Mean Square Error (LMMSE) receiver for Wyner's model of a linear cellular array. By exploiting the special structure of the channel model, we obtain explicit Mean Square Error (MSE) expressions and information capacity formulae for both finite-sized as well as infinite-sized linear cellular arrays. We show that the performance of an individual user becomes insensitive to the array size for large array sizes and that the proportion of users achieving almost the same performance converges to one, as the array size tends to infinity. The effects of intercell interference and noise on the performance of each user are also investigated.",

author = "Ng, {Boon Loong} and Evans, {Jamie S.} and Stephen Hanly and Grant, {Alex J.}",

year = "2004",

doi = "10.1109/ICC.2004.1312556",

language = "English",

isbn = "0780385330",

volume = "1",

pages = "583--587",

booktitle = "2004 IEEE International Conference on Communications",

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Information capacity of Wyner's cellular network with LMMSE receivers. / Ng, Boon Loong; Evans, Jamie S.; Hanly, Stephen et al.
2004 IEEE International Conference on Communications. Vol. 1 Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2004. p. 583-587.

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

TY - GEN

T1 - Information capacity of Wyner's cellular network with LMMSE receivers

AU - Ng, Boon Loong

AU - Evans, Jamie S.

AU - Hanly, Stephen

AU - Grant, Alex J.

PY - 2004

Y1 - 2004

N2 - We derive the Linear Minimum Mean Square Error (LMMSE) receiver for Wyner's model of a linear cellular array. By exploiting the special structure of the channel model, we obtain explicit Mean Square Error (MSE) expressions and information capacity formulae for both finite-sized as well as infinite-sized linear cellular arrays. We show that the performance of an individual user becomes insensitive to the array size for large array sizes and that the proportion of users achieving almost the same performance converges to one, as the array size tends to infinity. The effects of intercell interference and noise on the performance of each user are also investigated.

AB - We derive the Linear Minimum Mean Square Error (LMMSE) receiver for Wyner's model of a linear cellular array. By exploiting the special structure of the channel model, we obtain explicit Mean Square Error (MSE) expressions and information capacity formulae for both finite-sized as well as infinite-sized linear cellular arrays. We show that the performance of an individual user becomes insensitive to the array size for large array sizes and that the proportion of users achieving almost the same performance converges to one, as the array size tends to infinity. The effects of intercell interference and noise on the performance of each user are also investigated.

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U2 - 10.1109/ICC.2004.1312556

DO - 10.1109/ICC.2004.1312556

M3 - Conference proceeding contribution

AN - SCOPUS:4143051404

SN - 0780385330

VL - 1

SP - 583

EP - 587

BT - 2004 IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

ER -

Information capacity of Wyner's cellular network with LMMSE receivers

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