MMSE-based filter designs for cognitive multiuser two-way relay networks

Haewook Park, Changick Song, Hoon Lee, Inkyu Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper considers cognitive multiuser two-way relay networks (MU-TRNs) where multiple secondary users (SUs) concurrently exchange their data with other SUs with an aid of a two-way relay in licensed primary networks. In this paper, we particularly focus on linear relay filter designs that effectively minimize the mean square error of SUs while providing a certain level of quality of service for the primary network. To this end, we first propose an iterative algorithm that identifies a solution based on an alternating optimization technique. Then, a closed-form relay filter design is presented, which employs a high signal-to-noise ratio approximation to reduce the computational complexity. Through the simulation results, we confirm that the proposed closed-form relay filter design outperforms conventional approaches and provides the performance close to the proposed iterative algorithm with much reduced complexity.

Original languageEnglish
Article number6837522
Pages (from-to)1638-1643
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume64
Issue number4
DOIs
Publication statusPublished - 2015 Apr 1

Fingerprint

Relay Networks
Filter Design
Minimum Mean Square Error
Relay
Iterative Algorithm
Closed-form
Electronic data interchange
Mean square error
Computational complexity
Signal to noise ratio
Data Exchange
Quality of service
Optimization Techniques
Quality of Service
Computational Complexity
Minimise
Approximation
Simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Computer Networks and Communications
  • Applied Mathematics

Cite this

MMSE-based filter designs for cognitive multiuser two-way relay networks. / Park, Haewook; Song, Changick; Lee, Hoon; Lee, Inkyu.

In: IEEE Transactions on Vehicular Technology, Vol. 64, No. 4, 6837522, 01.04.2015, p. 1638-1643.

Research output: Contribution to journalArticle

Park, Haewook ; Song, Changick ; Lee, Hoon ; Lee, Inkyu. / MMSE-based filter designs for cognitive multiuser two-way relay networks. In: IEEE Transactions on Vehicular Technology. 2015 ; Vol. 64, No. 4. pp. 1638-1643.
@article{a3f9a86ff48b42c4b39e143436f2ebcb,
title = "MMSE-based filter designs for cognitive multiuser two-way relay networks",
abstract = "This paper considers cognitive multiuser two-way relay networks (MU-TRNs) where multiple secondary users (SUs) concurrently exchange their data with other SUs with an aid of a two-way relay in licensed primary networks. In this paper, we particularly focus on linear relay filter designs that effectively minimize the mean square error of SUs while providing a certain level of quality of service for the primary network. To this end, we first propose an iterative algorithm that identifies a solution based on an alternating optimization technique. Then, a closed-form relay filter design is presented, which employs a high signal-to-noise ratio approximation to reduce the computational complexity. Through the simulation results, we confirm that the proposed closed-form relay filter design outperforms conventional approaches and provides the performance close to the proposed iterative algorithm with much reduced complexity.",
author = "Haewook Park and Changick Song and Hoon Lee and Inkyu Lee",
year = "2015",
month = "4",
day = "1",
doi = "10.1109/TVT.2014.2331245",
language = "English",
volume = "64",
pages = "1638--1643",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

TY - JOUR

T1 - MMSE-based filter designs for cognitive multiuser two-way relay networks

AU - Park, Haewook

AU - Song, Changick

AU - Lee, Hoon

AU - Lee, Inkyu

PY - 2015/4/1

Y1 - 2015/4/1

N2 - This paper considers cognitive multiuser two-way relay networks (MU-TRNs) where multiple secondary users (SUs) concurrently exchange their data with other SUs with an aid of a two-way relay in licensed primary networks. In this paper, we particularly focus on linear relay filter designs that effectively minimize the mean square error of SUs while providing a certain level of quality of service for the primary network. To this end, we first propose an iterative algorithm that identifies a solution based on an alternating optimization technique. Then, a closed-form relay filter design is presented, which employs a high signal-to-noise ratio approximation to reduce the computational complexity. Through the simulation results, we confirm that the proposed closed-form relay filter design outperforms conventional approaches and provides the performance close to the proposed iterative algorithm with much reduced complexity.

AB - This paper considers cognitive multiuser two-way relay networks (MU-TRNs) where multiple secondary users (SUs) concurrently exchange their data with other SUs with an aid of a two-way relay in licensed primary networks. In this paper, we particularly focus on linear relay filter designs that effectively minimize the mean square error of SUs while providing a certain level of quality of service for the primary network. To this end, we first propose an iterative algorithm that identifies a solution based on an alternating optimization technique. Then, a closed-form relay filter design is presented, which employs a high signal-to-noise ratio approximation to reduce the computational complexity. Through the simulation results, we confirm that the proposed closed-form relay filter design outperforms conventional approaches and provides the performance close to the proposed iterative algorithm with much reduced complexity.

UR - http://www.scopus.com/inward/record.url?scp=84928329759&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928329759&partnerID=8YFLogxK

U2 - 10.1109/TVT.2014.2331245

DO - 10.1109/TVT.2014.2331245

M3 - Article

AN - SCOPUS:84928329759

VL - 64

SP - 1638

EP - 1643

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 4

M1 - 6837522

ER -