Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors

Ralf R. Muller; Giuseppe Giuseppe Caire; Toshiyuki Tanaka

Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors

Ralf R. Muller, Giuseppe Giuseppe Caire, Toshiyuki Tanaka

Aston University

Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

Abstract

Iterative multiuser joint decoding based on exact Belief Propagation (BP) is analyzed in the large system limit by means of the replica method. It is shown that performance can be improved by appropriate power assignment to the users. The optimum power assignment can be found by linear programming in most technically relevant cases. The performance of BP iterative multiuser joint decoding is compared to suboptimum approximations based on Interference Cancellation (IC). While IC receivers show a significant loss for equal-power users, they yield performance close to BP under optimum power assignment.

Original language	English
Pages	1-10
Number of pages	10
Publication status	Published - 4 Oct 2002
Event	40th Annual Allerton Conference on Communications, Control and Computing - Urbana, United States Duration: 2 Oct 2002 → 4 Oct 2002

Conference

Conference	40th Annual Allerton Conference on Communications, Control and Computing
Country/Territory	United States
City	Urbana
Period	2/10/02 → 4/10/02

Keywords

Belief Propagation
Iterative multiuser joint decoding
replica method
optimum power assignment
Interference Cancellation

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NCRG_2002_021.pdfAccepted author manuscript, 168 KB

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title = "Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors",

abstract = "Iterative multiuser joint decoding based on exact Belief Propagation (BP) is analyzed in the large system limit by means of the replica method. It is shown that performance can be improved by appropriate power assignment to the users. The optimum power assignment can be found by linear programming in most technically relevant cases. The performance of BP iterative multiuser joint decoding is compared to suboptimum approximations based on Interference Cancellation (IC). While IC receivers show a significant loss for equal-power users, they yield performance close to BP under optimum power assignment.",

keywords = "Belief Propagation, Iterative multiuser joint decoding, replica method, optimum power assignment, Interference Cancellation",

author = "Muller, {Ralf R.} and {Giuseppe Caire}, Giuseppe and Toshiyuki Tanaka",

year = "2002",

month = oct,

day = "4",

language = "English",

pages = "1--10",

note = "40th Annual Allerton Conference on Communications, Control and Computing ; Conference date: 02-10-2002 Through 04-10-2002",

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Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors. / Muller, Ralf R.; Giuseppe Caire, Giuseppe; Tanaka, Toshiyuki.
2002. 1-10 Paper presented at 40th Annual Allerton Conference on Communications, Control and Computing, Urbana, United States.

Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

TY - CONF

T1 - Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors

AU - Muller, Ralf R.

AU - Giuseppe Caire, Giuseppe

AU - Tanaka, Toshiyuki

PY - 2002/10/4

Y1 - 2002/10/4

N2 - Iterative multiuser joint decoding based on exact Belief Propagation (BP) is analyzed in the large system limit by means of the replica method. It is shown that performance can be improved by appropriate power assignment to the users. The optimum power assignment can be found by linear programming in most technically relevant cases. The performance of BP iterative multiuser joint decoding is compared to suboptimum approximations based on Interference Cancellation (IC). While IC receivers show a significant loss for equal-power users, they yield performance close to BP under optimum power assignment.

AB - Iterative multiuser joint decoding based on exact Belief Propagation (BP) is analyzed in the large system limit by means of the replica method. It is shown that performance can be improved by appropriate power assignment to the users. The optimum power assignment can be found by linear programming in most technically relevant cases. The performance of BP iterative multiuser joint decoding is compared to suboptimum approximations based on Interference Cancellation (IC). While IC receivers show a significant loss for equal-power users, they yield performance close to BP under optimum power assignment.

KW - Belief Propagation

KW - Iterative multiuser joint decoding

KW - replica method

KW - optimum power assignment

KW - Interference Cancellation

UR - http://www.eurecom.fr/util/popuppubli.en.htm?page=detail&id=1200

M3 - Unpublished Conference Paper

SP - 1

EP - 10

T2 - 40th Annual Allerton Conference on Communications, Control and Computing

Y2 - 2 October 2002 through 4 October 2002

ER -

Density evolution and power profile optimization for iterative multiuser decoders based on individually optimum multiuser detectors

Abstract

Conference

Keywords

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