Error performance analysis of signal superposition coded cooperative diversity

Lei Xiao; Thomas E. Fuja; Jörg Kliewer; Daniel J. Costello

doi:10.1109/TCOMM.2009.10.080355

Error performance analysis of signal superposition coded cooperative diversity

Lei Xiao, Thomas E. Fuja, Jörg Kliewer, Daniel J. Costello

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

16 Scopus citations

Abstract

This paper analyzes the error performance of a coded cooperative diversity system employing the Euclidean superposition of two BPSK-modulated signals. For an example using a convolutional code on block fading channels, the results show excellent agreement with computer simulations. The analysis makes it possible to optimize the power allocation between the local and relay signals numerically, circumventing the need for time consuming Monte Carlo simulations. Similarly, the analysis demonstrates how the power allocation can be "tuned" to compensate for unbalanced uplink channels and/or to provide unequal error protection to the data from the two cooperating nodes.

Original language	English (US)
Pages (from-to)	3123-3131
Number of pages	9
Journal	IEEE Transactions on Communications
Volume	57
Issue number	10
DOIs	https://doi.org/10.1109/TCOMM.2009.10.080355
State	Published - 2009
Externally published	Yes

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Keywords

Cooperative communications
Diversity methods
Fading channels
Relay channels
Signal superposition

Access to Document

10.1109/TCOMM.2009.10.080355

Cite this

@article{d7daa3f20d294efa94be5a31dfe2f7c5,

title = "Error performance analysis of signal superposition coded cooperative diversity",

abstract = "This paper analyzes the error performance of a coded cooperative diversity system employing the Euclidean superposition of two BPSK-modulated signals. For an example using a convolutional code on block fading channels, the results show excellent agreement with computer simulations. The analysis makes it possible to optimize the power allocation between the local and relay signals numerically, circumventing the need for time consuming Monte Carlo simulations. Similarly, the analysis demonstrates how the power allocation can be {"}tuned{"} to compensate for unbalanced uplink channels and/or to provide unequal error protection to the data from the two cooperating nodes.",

keywords = "Cooperative communications, Diversity methods, Fading channels, Relay channels, Signal superposition",

author = "Lei Xiao and Fuja, {Thomas E.} and J{\"o}rg Kliewer and Costello, {Daniel J.}",

note = "Funding Information: This work was supported in part by Motorola Corporation{\textquoteright}s University Partnerships in Research (UPR) program as well by NASA grant NNX07AK53G, NSF grant CCF-0515012, German Research Foundation (DFG) grant KL 1080/3-1, and the University of Notre Dame Faculty Research Program. Parts of the paper were presented at the IEEE Information Theory Workshop (ITW), Lake Tahoe, CA, September 2007. Digital Object Identifier 10.1109/TCOMM.2009.10.080355",

year = "2009",

doi = "10.1109/TCOMM.2009.10.080355",

language = "English (US)",

volume = "57",

pages = "3123--3131",

journal = "IEEE Transactions on Communications",

issn = "0090-6778",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "10",

}

TY - JOUR

T1 - Error performance analysis of signal superposition coded cooperative diversity

AU - Xiao, Lei

AU - Fuja, Thomas E.

AU - Kliewer, Jörg

AU - Costello, Daniel J.

N1 - Funding Information: This work was supported in part by Motorola Corporation’s University Partnerships in Research (UPR) program as well by NASA grant NNX07AK53G, NSF grant CCF-0515012, German Research Foundation (DFG) grant KL 1080/3-1, and the University of Notre Dame Faculty Research Program. Parts of the paper were presented at the IEEE Information Theory Workshop (ITW), Lake Tahoe, CA, September 2007. Digital Object Identifier 10.1109/TCOMM.2009.10.080355

PY - 2009

Y1 - 2009

N2 - This paper analyzes the error performance of a coded cooperative diversity system employing the Euclidean superposition of two BPSK-modulated signals. For an example using a convolutional code on block fading channels, the results show excellent agreement with computer simulations. The analysis makes it possible to optimize the power allocation between the local and relay signals numerically, circumventing the need for time consuming Monte Carlo simulations. Similarly, the analysis demonstrates how the power allocation can be "tuned" to compensate for unbalanced uplink channels and/or to provide unequal error protection to the data from the two cooperating nodes.

AB - This paper analyzes the error performance of a coded cooperative diversity system employing the Euclidean superposition of two BPSK-modulated signals. For an example using a convolutional code on block fading channels, the results show excellent agreement with computer simulations. The analysis makes it possible to optimize the power allocation between the local and relay signals numerically, circumventing the need for time consuming Monte Carlo simulations. Similarly, the analysis demonstrates how the power allocation can be "tuned" to compensate for unbalanced uplink channels and/or to provide unequal error protection to the data from the two cooperating nodes.

KW - Cooperative communications

KW - Diversity methods

KW - Fading channels

KW - Relay channels

KW - Signal superposition

UR - http://www.scopus.com/inward/record.url?scp=70350578418&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350578418&partnerID=8YFLogxK

U2 - 10.1109/TCOMM.2009.10.080355

DO - 10.1109/TCOMM.2009.10.080355

M3 - Article

AN - SCOPUS:70350578418

SN - 0090-6778

VL - 57

SP - 3123

EP - 3131

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

IS - 10

ER -

Error performance analysis of signal superposition coded cooperative diversity

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this