Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies

Jeonghun Park; Namyoon Lee; Robert W. Heath

doi:10.1109/EUSIPCO.2015.7362823

Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies

Jeonghun Park, Namyoon Lee, Robert W. Heath

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a clustering strategy for semi-static mul-ticell cooperation. Semi-static multicell cooperation exploits multiple predefined base station (BS) cluster patterns for improving cell-edge user throughput. The proposed clustering guarantees that every user communicates with their two closest BSs, so that users are protected from the dominant interferer. The key idea of the proposed clustering is to use the 2nd-order Voronoi region to form BS clusters. Each of the formed BS clusters is mapped into a particular cluster pattern by exploiting the edge-coloring in graph theory. Through simulations, the performance is compared to that of other conventional strategies. Our major finding is that the proposed clustering provides performance gains for cell-edge users compared to that of the conventional strategies.

Original language	English
Title of host publication	2015 23rd European Signal Processing Conference, EUSIPCO 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2441-2445
Number of pages	5
ISBN (Electronic)	9780992862633
DOIs	https://doi.org/10.1109/EUSIPCO.2015.7362823
Publication status	Published - 2015 Dec 22
Event	23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France Duration: 2015 Aug 31 → 2015 Sept 4

Publication series

Name	2015 23rd European Signal Processing Conference, EUSIPCO 2015

Conference

Conference	23rd European Signal Processing Conference, EUSIPCO 2015
Country/Territory	France
City	Nice
Period	15/8/31 → 15/9/4

Bibliographical note

Publisher Copyright:
© 2015 EURASIP.

All Science Journal Classification (ASJC) codes

Media Technology
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/EUSIPCO.2015.7362823

Cite this

Park, J., Lee, N., & Heath, R. W. (2015). Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies. In 2015 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 2441-2445). [7362823] (2015 23rd European Signal Processing Conference, EUSIPCO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUSIPCO.2015.7362823

@inproceedings{f2573c6ac6b149dc98494ca71a4a297b,

title = "Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies",

abstract = "This paper proposes a clustering strategy for semi-static mul-ticell cooperation. Semi-static multicell cooperation exploits multiple predefined base station (BS) cluster patterns for improving cell-edge user throughput. The proposed clustering guarantees that every user communicates with their two closest BSs, so that users are protected from the dominant interferer. The key idea of the proposed clustering is to use the 2nd-order Voronoi region to form BS clusters. Each of the formed BS clusters is mapped into a particular cluster pattern by exploiting the edge-coloring in graph theory. Through simulations, the performance is compared to that of other conventional strategies. Our major finding is that the proposed clustering provides performance gains for cell-edge users compared to that of the conventional strategies.",

author = "Jeonghun Park and Namyoon Lee and Heath, {Robert W.}",

note = "Publisher Copyright: {\textcopyright} 2015 EURASIP.; 23rd European Signal Processing Conference, EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",

year = "2015",

month = dec,

day = "22",

doi = "10.1109/EUSIPCO.2015.7362823",

language = "English",

series = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",

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

pages = "2441--2445",

booktitle = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",

address = "United States",

}

Park, J, Lee, N & Heath, RW 2015, Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies. in 2015 23rd European Signal Processing Conference, EUSIPCO 2015., 7362823, 2015 23rd European Signal Processing Conference, EUSIPCO 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2441-2445, 23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, 15/8/31. https://doi.org/10.1109/EUSIPCO.2015.7362823

Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies. / Park, Jeonghun; Lee, Namyoon; Heath, Robert W.

2015 23rd European Signal Processing Conference, EUSIPCO 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2441-2445 7362823 (2015 23rd European Signal Processing Conference, EUSIPCO 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies

AU - Park, Jeonghun

AU - Lee, Namyoon

AU - Heath, Robert W.

PY - 2015/12/22

Y1 - 2015/12/22

N2 - This paper proposes a clustering strategy for semi-static mul-ticell cooperation. Semi-static multicell cooperation exploits multiple predefined base station (BS) cluster patterns for improving cell-edge user throughput. The proposed clustering guarantees that every user communicates with their two closest BSs, so that users are protected from the dominant interferer. The key idea of the proposed clustering is to use the 2nd-order Voronoi region to form BS clusters. Each of the formed BS clusters is mapped into a particular cluster pattern by exploiting the edge-coloring in graph theory. Through simulations, the performance is compared to that of other conventional strategies. Our major finding is that the proposed clustering provides performance gains for cell-edge users compared to that of the conventional strategies.

AB - This paper proposes a clustering strategy for semi-static mul-ticell cooperation. Semi-static multicell cooperation exploits multiple predefined base station (BS) cluster patterns for improving cell-edge user throughput. The proposed clustering guarantees that every user communicates with their two closest BSs, so that users are protected from the dominant interferer. The key idea of the proposed clustering is to use the 2nd-order Voronoi region to form BS clusters. Each of the formed BS clusters is mapped into a particular cluster pattern by exploiting the edge-coloring in graph theory. Through simulations, the performance is compared to that of other conventional strategies. Our major finding is that the proposed clustering provides performance gains for cell-edge users compared to that of the conventional strategies.

UR - http://www.scopus.com/inward/record.url?scp=84963988180&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963988180&partnerID=8YFLogxK

U2 - 10.1109/EUSIPCO.2015.7362823

DO - 10.1109/EUSIPCO.2015.7362823

M3 - Conference contribution

AN - SCOPUS:84963988180

T3 - 2015 23rd European Signal Processing Conference, EUSIPCO 2015

SP - 2441

EP - 2445

BT - 2015 23rd European Signal Processing Conference, EUSIPCO 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd European Signal Processing Conference, EUSIPCO 2015

Y2 - 31 August 2015 through 4 September 2015

ER -

Park J, Lee N, Heath RW. Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies. In 2015 23rd European Signal Processing Conference, EUSIPCO 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2441-2445. 7362823. (2015 23rd European Signal Processing Conference, EUSIPCO 2015). doi: 10.1109/EUSIPCO.2015.7362823

Base station cluster patterns for semi-static multi-cell cooperation in irregular network topologies

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this