Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems

Nikolaos I. Miridakis; Minghua Xia; Theodoros A. Tsiftsis

doi:10.1109/ICC.2017.7996472

Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems

Nikolaos I. Miridakis, Minghua Xia, Theodoros A. Tsiftsis

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. To mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7996472
Publication status	Published - 28 Jul 2017
Externally published	Yes
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Keywords

Cognitive radio (CR)
interference
multiple-input multiple-output (MIMO)
optimal power optimization
spatial multiplexing
zero-forcing (ZF) detection

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7996472

Cite this

Miridakis, N. I., Xia, M., & Tsiftsis, T. A. (2017). Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7996472 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996472

Miridakis, Nikolaos I. ; Xia, Minghua ; Tsiftsis, Theodoros A. / Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems. 2017 IEEE International Conference on Communications, ICC 2017. editor / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE International Conference on Communications).

@inproceedings{6a1b1acdb0b74cd6959800cc04a82c4e,

title = "Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems",

abstract = "In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. To mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.",

keywords = "Cognitive radio (CR), interference, multiple-input multiple-output (MIMO), optimal power optimization, spatial multiplexing, zero-forcing (ZF) detection",

author = "Miridakis, \{Nikolaos I.\} and Minghua Xia and Tsiftsis, \{Theodoros A.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

year = "2017",

month = jul,

day = "28",

doi = "10.1109/ICC.2017.7996472",

language = "English",

series = "IEEE International Conference on Communications",

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

editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",

booktitle = "2017 IEEE International Conference on Communications, ICC 2017",

address = "United States",

}

Miridakis, NI, Xia, M & Tsiftsis, TA 2017, Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996472, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7996472

Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems. / Miridakis, Nikolaos I.; Xia, Minghua; Tsiftsis, Theodoros A.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7996472 (IEEE International Conference on Communications).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems

AU - Miridakis, Nikolaos I.

AU - Xia, Minghua

AU - Tsiftsis, Theodoros A.

PY - 2017/7/28

Y1 - 2017/7/28

N2 - In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. To mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.

AB - In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. To mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.

KW - Cognitive radio (CR)

KW - interference

KW - multiple-input multiple-output (MIMO)

KW - optimal power optimization

KW - spatial multiplexing

KW - zero-forcing (ZF) detection

UR - https://www.scopus.com/pages/publications/85028347306

U2 - 10.1109/ICC.2017.7996472

DO - 10.1109/ICC.2017.7996472

M3 - Conference contribution

AN - SCOPUS:85028347306

T3 - IEEE International Conference on Communications

BT - 2017 IEEE International Conference on Communications, ICC 2017

A2 - Debbah, Merouane

A2 - Gesbert, David

A2 - Mellouk, Abdelhamid

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Communications, ICC 2017

Y2 - 21 May 2017 through 25 May 2017

ER -

Miridakis NI, Xia M, Tsiftsis TA. Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996472. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7996472

Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this