MMSE receiver spatial sensing technique for cognitive radio networks

Keonkook Lee, Chan-Byoung Chae, Joonhyuk Kang, Tae Kyung Sung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose transceiver algorithms to manage interference in cognitive radio networks where cognitive users are equipped with multiple antennas, which is referred to as spatial sensing technique. This work considers designs of precoding and decoding matrices for spatial sensing to protect a primary network from interference of the secondary network and to remove interference by primary transmissions at the secondary receiver. As an extensive work of [1], which studied a case of a zero-forcing (ZF) receiver, in this paper, we investigate a transceiver design with a minimum mean square error (MMSE) receiver. In the design with a ZF receiver, we assumed that the interference by primary transmission is perfectly removed at the secondary receiver. In this work, to further improve the performance of secondary networks, we propose using an MMSE receiver. We show that an iterative algorithm is necessary. Numerical results confirm that the design with an MMSE receiver outperforms the design with a ZF receiver.

Original languageEnglish
Title of host publication2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Pages377-381
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
Duration: 2012 Oct 22012 Oct 5

Publication series

Name2012 International Symposium on Communications and Information Technologies, ISCIT 2012

Other

Other2012 International Symposium on Communications and Information Technologies, ISCIT 2012
CountryAustralia
CityGold Coast, QLD
Period12/10/212/10/5

Fingerprint

Cognitive radio
Mean square error
Transceivers
Decoding
Antennas

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Lee, K., Chae, C-B., Kang, J., & Sung, T. K. (2012). MMSE receiver spatial sensing technique for cognitive radio networks. In 2012 International Symposium on Communications and Information Technologies, ISCIT 2012 (pp. 377-381). [6380925] (2012 International Symposium on Communications and Information Technologies, ISCIT 2012). https://doi.org/10.1109/ISCIT.2012.6380925
Lee, Keonkook ; Chae, Chan-Byoung ; Kang, Joonhyuk ; Sung, Tae Kyung. / MMSE receiver spatial sensing technique for cognitive radio networks. 2012 International Symposium on Communications and Information Technologies, ISCIT 2012. 2012. pp. 377-381 (2012 International Symposium on Communications and Information Technologies, ISCIT 2012).
@inproceedings{61e0f41e98034a488edc2f80c94b1b7c,
title = "MMSE receiver spatial sensing technique for cognitive radio networks",
abstract = "We propose transceiver algorithms to manage interference in cognitive radio networks where cognitive users are equipped with multiple antennas, which is referred to as spatial sensing technique. This work considers designs of precoding and decoding matrices for spatial sensing to protect a primary network from interference of the secondary network and to remove interference by primary transmissions at the secondary receiver. As an extensive work of [1], which studied a case of a zero-forcing (ZF) receiver, in this paper, we investigate a transceiver design with a minimum mean square error (MMSE) receiver. In the design with a ZF receiver, we assumed that the interference by primary transmission is perfectly removed at the secondary receiver. In this work, to further improve the performance of secondary networks, we propose using an MMSE receiver. We show that an iterative algorithm is necessary. Numerical results confirm that the design with an MMSE receiver outperforms the design with a ZF receiver.",
author = "Keonkook Lee and Chan-Byoung Chae and Joonhyuk Kang and Sung, {Tae Kyung}",
year = "2012",
month = "12",
day = "1",
doi = "10.1109/ISCIT.2012.6380925",
language = "English",
isbn = "9781467311571",
series = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",
pages = "377--381",
booktitle = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",

}

Lee, K, Chae, C-B, Kang, J & Sung, TK 2012, MMSE receiver spatial sensing technique for cognitive radio networks. in 2012 International Symposium on Communications and Information Technologies, ISCIT 2012., 6380925, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, pp. 377-381, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, Australia, 12/10/2. https://doi.org/10.1109/ISCIT.2012.6380925

MMSE receiver spatial sensing technique for cognitive radio networks. / Lee, Keonkook; Chae, Chan-Byoung; Kang, Joonhyuk; Sung, Tae Kyung.

2012 International Symposium on Communications and Information Technologies, ISCIT 2012. 2012. p. 377-381 6380925 (2012 International Symposium on Communications and Information Technologies, ISCIT 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - MMSE receiver spatial sensing technique for cognitive radio networks

AU - Lee, Keonkook

AU - Chae, Chan-Byoung

AU - Kang, Joonhyuk

AU - Sung, Tae Kyung

PY - 2012/12/1

Y1 - 2012/12/1

N2 - We propose transceiver algorithms to manage interference in cognitive radio networks where cognitive users are equipped with multiple antennas, which is referred to as spatial sensing technique. This work considers designs of precoding and decoding matrices for spatial sensing to protect a primary network from interference of the secondary network and to remove interference by primary transmissions at the secondary receiver. As an extensive work of [1], which studied a case of a zero-forcing (ZF) receiver, in this paper, we investigate a transceiver design with a minimum mean square error (MMSE) receiver. In the design with a ZF receiver, we assumed that the interference by primary transmission is perfectly removed at the secondary receiver. In this work, to further improve the performance of secondary networks, we propose using an MMSE receiver. We show that an iterative algorithm is necessary. Numerical results confirm that the design with an MMSE receiver outperforms the design with a ZF receiver.

AB - We propose transceiver algorithms to manage interference in cognitive radio networks where cognitive users are equipped with multiple antennas, which is referred to as spatial sensing technique. This work considers designs of precoding and decoding matrices for spatial sensing to protect a primary network from interference of the secondary network and to remove interference by primary transmissions at the secondary receiver. As an extensive work of [1], which studied a case of a zero-forcing (ZF) receiver, in this paper, we investigate a transceiver design with a minimum mean square error (MMSE) receiver. In the design with a ZF receiver, we assumed that the interference by primary transmission is perfectly removed at the secondary receiver. In this work, to further improve the performance of secondary networks, we propose using an MMSE receiver. We show that an iterative algorithm is necessary. Numerical results confirm that the design with an MMSE receiver outperforms the design with a ZF receiver.

UR - http://www.scopus.com/inward/record.url?scp=84872150365&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872150365&partnerID=8YFLogxK

U2 - 10.1109/ISCIT.2012.6380925

DO - 10.1109/ISCIT.2012.6380925

M3 - Conference contribution

SN - 9781467311571

T3 - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

SP - 377

EP - 381

BT - 2012 International Symposium on Communications and Information Technologies, ISCIT 2012

ER -

Lee K, Chae C-B, Kang J, Sung TK. MMSE receiver spatial sensing technique for cognitive radio networks. In 2012 International Symposium on Communications and Information Technologies, ISCIT 2012. 2012. p. 377-381. 6380925. (2012 International Symposium on Communications and Information Technologies, ISCIT 2012). https://doi.org/10.1109/ISCIT.2012.6380925