Joint optimal threshold-based relaying and ML detection in cooperative networks

Xiang Nian Zeng, Ali Ghrayeb, Mazen Hasna

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper proposes two detection schemes for cooperative networks comprising a source, a relay and a destination. The relay is assumed to operate in a half-duplex mode and it employs decode-and-forward (DF) relaying. The proposed schemes involve combining threshold-based relaying and maximum likelihood (ML) detection at the destination. We consider both signal-to-noise ratio (SNR)-based and log-likelihood (LLR)-based thresholding. Assuming binary phase shift keying (BPSK), we first derive the ML detector as a function of the threshold used at the relay node. Then, we obtain the optimal thresholds by minimizing the end-to-end bit error rate performance. In deriving the ML performance, we follow an approach that is different from existing approaches and is more straightforward. We compare the performance of the proposed schemes and show that they significantly outperform all existing counterpart detection methods.

Original languageEnglish
Article number6177194
Pages (from-to)773-776
Number of pages4
JournalIEEE Communications Letters
Volume16
Issue number6
DOIs
Publication statusPublished - Jun 2012

Fingerprint

Maximum Likelihood Detection
Cooperative Networks
Maximum likelihood
Relay
Maximum Likelihood
Binary phase shift keying
Decode-and-forward
Thresholding
Phase Shift
Bit error rate
Error Rate
Likelihood
Signal to noise ratio
Detector
Binary
Detectors
Vertex of a graph

Keywords

  • Cooperative networks
  • error propagation
  • ML detection
  • threshold-based relaying

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Joint optimal threshold-based relaying and ML detection in cooperative networks. / Zeng, Xiang Nian; Ghrayeb, Ali; Hasna, Mazen.

In: IEEE Communications Letters, Vol. 16, No. 6, 6177194, 06.2012, p. 773-776.

Research output: Contribution to journalArticle

@article{080b2e4e65684dd99a14a5c47a41b873,
title = "Joint optimal threshold-based relaying and ML detection in cooperative networks",
abstract = "This paper proposes two detection schemes for cooperative networks comprising a source, a relay and a destination. The relay is assumed to operate in a half-duplex mode and it employs decode-and-forward (DF) relaying. The proposed schemes involve combining threshold-based relaying and maximum likelihood (ML) detection at the destination. We consider both signal-to-noise ratio (SNR)-based and log-likelihood (LLR)-based thresholding. Assuming binary phase shift keying (BPSK), we first derive the ML detector as a function of the threshold used at the relay node. Then, we obtain the optimal thresholds by minimizing the end-to-end bit error rate performance. In deriving the ML performance, we follow an approach that is different from existing approaches and is more straightforward. We compare the performance of the proposed schemes and show that they significantly outperform all existing counterpart detection methods.",
keywords = "Cooperative networks, error propagation, ML detection, threshold-based relaying",
author = "Zeng, {Xiang Nian} and Ali Ghrayeb and Mazen Hasna",
year = "2012",
month = "6",
doi = "10.1109/LCOMM.2012.032612.112408",
language = "English",
volume = "16",
pages = "773--776",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

TY - JOUR

T1 - Joint optimal threshold-based relaying and ML detection in cooperative networks

AU - Zeng, Xiang Nian

AU - Ghrayeb, Ali

AU - Hasna, Mazen

PY - 2012/6

Y1 - 2012/6

N2 - This paper proposes two detection schemes for cooperative networks comprising a source, a relay and a destination. The relay is assumed to operate in a half-duplex mode and it employs decode-and-forward (DF) relaying. The proposed schemes involve combining threshold-based relaying and maximum likelihood (ML) detection at the destination. We consider both signal-to-noise ratio (SNR)-based and log-likelihood (LLR)-based thresholding. Assuming binary phase shift keying (BPSK), we first derive the ML detector as a function of the threshold used at the relay node. Then, we obtain the optimal thresholds by minimizing the end-to-end bit error rate performance. In deriving the ML performance, we follow an approach that is different from existing approaches and is more straightforward. We compare the performance of the proposed schemes and show that they significantly outperform all existing counterpart detection methods.

AB - This paper proposes two detection schemes for cooperative networks comprising a source, a relay and a destination. The relay is assumed to operate in a half-duplex mode and it employs decode-and-forward (DF) relaying. The proposed schemes involve combining threshold-based relaying and maximum likelihood (ML) detection at the destination. We consider both signal-to-noise ratio (SNR)-based and log-likelihood (LLR)-based thresholding. Assuming binary phase shift keying (BPSK), we first derive the ML detector as a function of the threshold used at the relay node. Then, we obtain the optimal thresholds by minimizing the end-to-end bit error rate performance. In deriving the ML performance, we follow an approach that is different from existing approaches and is more straightforward. We compare the performance of the proposed schemes and show that they significantly outperform all existing counterpart detection methods.

KW - Cooperative networks

KW - error propagation

KW - ML detection

KW - threshold-based relaying

UR - http://www.scopus.com/inward/record.url?scp=84862554410&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862554410&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2012.032612.112408

DO - 10.1109/LCOMM.2012.032612.112408

M3 - Article

AN - SCOPUS:84862554410

VL - 16

SP - 773

EP - 776

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 6

M1 - 6177194

ER -