Eco-Inspired load optimization for LTE EUTRAN

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Self-Organizing Network (SON) is a key feature of the Long Term Evolution (LTE) system. SON introduces several Self-Optimizing features for the LTE's Evolved Universal Terrestrial Radio Access Network (EUTRAN), thereby improving performance, flexibility and lowering costs through network intelligence, automation and network management. Mobility Load Balancing (MLB) is one such feature that has recently attracted much interest. According to the definition of the third Generation Partnership Project (3GPP), a successful MLB mechanism must be capable of optimizing the radio, hardware and transport network resource of an eNodeB. Thus far, the existing proposals have only addressed the radio resource aspect. Therefore, this paper proposes an MLB mechanism fully capable of optimizing both radio and transport network loads of an eNodeB. The proposed MLB mechanism is based on an ecologically inspired load optimization algorithm developed for equitable load distribution in a multi-resource environment. Optimal load conditions required for the stability of an eNodeB could be accurately estimated for both radio and transport interfaces by the proposed MLB algorithm. Analytical proof and simulation results are provided for supporting the above proposed model.
Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
EditorsMutlu Koca
Place of PublicationUSA
PublisherIEEE
Pages2085-2089
Number of pages5
ISBN (Electronic)9781479930838
ISBN (Print)9781479944491
DOIs
Publication statusPublished - 2014
Event2014 IEEE Wireless Communications and Networking Conference - Istanbul, Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2014 IEEE Wireless Communications and Networking Conference
CountryTurkey
CityIstanbul
Period6/04/149/04/14

Fingerprint

Long Term Evolution (LTE)
Resource allocation
Network management
Automation
Hardware
Costs

Cite this

MUNASINGHE, K., Jamalipour, A., & SHARMA, D. (2014). Eco-Inspired load optimization for LTE EUTRAN. In M. Koca (Ed.), IEEE Wireless Communications and Networking Conference, WCNC (pp. 2085-2089). [6952611] (IEEE Wireless Communications and Networking Conference, WCNC). USA: IEEE. https://doi.org/10.1109/WCNC.2014.6952611
MUNASINGHE, Kumudu ; Jamalipour, Abbas ; SHARMA, Dharmendra. / Eco-Inspired load optimization for LTE EUTRAN. IEEE Wireless Communications and Networking Conference, WCNC. editor / Mutlu Koca. USA : IEEE, 2014. pp. 2085-2089 (IEEE Wireless Communications and Networking Conference, WCNC).
@inproceedings{159470433f0d4020b2807144dde4ee70,
title = "Eco-Inspired load optimization for LTE EUTRAN",
abstract = "Self-Organizing Network (SON) is a key feature of the Long Term Evolution (LTE) system. SON introduces several Self-Optimizing features for the LTE's Evolved Universal Terrestrial Radio Access Network (EUTRAN), thereby improving performance, flexibility and lowering costs through network intelligence, automation and network management. Mobility Load Balancing (MLB) is one such feature that has recently attracted much interest. According to the definition of the third Generation Partnership Project (3GPP), a successful MLB mechanism must be capable of optimizing the radio, hardware and transport network resource of an eNodeB. Thus far, the existing proposals have only addressed the radio resource aspect. Therefore, this paper proposes an MLB mechanism fully capable of optimizing both radio and transport network loads of an eNodeB. The proposed MLB mechanism is based on an ecologically inspired load optimization algorithm developed for equitable load distribution in a multi-resource environment. Optimal load conditions required for the stability of an eNodeB could be accurately estimated for both radio and transport interfaces by the proposed MLB algorithm. Analytical proof and simulation results are provided for supporting the above proposed model.",
keywords = "Competition, Eco inspired networks, LTE, Load Balancing, Resource Management, SON",
author = "Kumudu MUNASINGHE and Abbas Jamalipour and Dharmendra SHARMA",
year = "2014",
doi = "10.1109/WCNC.2014.6952611",
language = "English",
isbn = "9781479944491",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "IEEE",
pages = "2085--2089",
editor = "Mutlu Koca",
booktitle = "IEEE Wireless Communications and Networking Conference, WCNC",

}

MUNASINGHE, K, Jamalipour, A & SHARMA, D 2014, Eco-Inspired load optimization for LTE EUTRAN. in M Koca (ed.), IEEE Wireless Communications and Networking Conference, WCNC., 6952611, IEEE Wireless Communications and Networking Conference, WCNC, IEEE, USA, pp. 2085-2089, 2014 IEEE Wireless Communications and Networking Conference, Istanbul, Turkey, 6/04/14. https://doi.org/10.1109/WCNC.2014.6952611

Eco-Inspired load optimization for LTE EUTRAN. / MUNASINGHE, Kumudu; Jamalipour, Abbas; SHARMA, Dharmendra.

IEEE Wireless Communications and Networking Conference, WCNC. ed. / Mutlu Koca. USA : IEEE, 2014. p. 2085-2089 6952611 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Eco-Inspired load optimization for LTE EUTRAN

AU - MUNASINGHE, Kumudu

AU - Jamalipour, Abbas

AU - SHARMA, Dharmendra

PY - 2014

Y1 - 2014

N2 - Self-Organizing Network (SON) is a key feature of the Long Term Evolution (LTE) system. SON introduces several Self-Optimizing features for the LTE's Evolved Universal Terrestrial Radio Access Network (EUTRAN), thereby improving performance, flexibility and lowering costs through network intelligence, automation and network management. Mobility Load Balancing (MLB) is one such feature that has recently attracted much interest. According to the definition of the third Generation Partnership Project (3GPP), a successful MLB mechanism must be capable of optimizing the radio, hardware and transport network resource of an eNodeB. Thus far, the existing proposals have only addressed the radio resource aspect. Therefore, this paper proposes an MLB mechanism fully capable of optimizing both radio and transport network loads of an eNodeB. The proposed MLB mechanism is based on an ecologically inspired load optimization algorithm developed for equitable load distribution in a multi-resource environment. Optimal load conditions required for the stability of an eNodeB could be accurately estimated for both radio and transport interfaces by the proposed MLB algorithm. Analytical proof and simulation results are provided for supporting the above proposed model.

AB - Self-Organizing Network (SON) is a key feature of the Long Term Evolution (LTE) system. SON introduces several Self-Optimizing features for the LTE's Evolved Universal Terrestrial Radio Access Network (EUTRAN), thereby improving performance, flexibility and lowering costs through network intelligence, automation and network management. Mobility Load Balancing (MLB) is one such feature that has recently attracted much interest. According to the definition of the third Generation Partnership Project (3GPP), a successful MLB mechanism must be capable of optimizing the radio, hardware and transport network resource of an eNodeB. Thus far, the existing proposals have only addressed the radio resource aspect. Therefore, this paper proposes an MLB mechanism fully capable of optimizing both radio and transport network loads of an eNodeB. The proposed MLB mechanism is based on an ecologically inspired load optimization algorithm developed for equitable load distribution in a multi-resource environment. Optimal load conditions required for the stability of an eNodeB could be accurately estimated for both radio and transport interfaces by the proposed MLB algorithm. Analytical proof and simulation results are provided for supporting the above proposed model.

KW - Competition

KW - Eco inspired networks

KW - LTE

KW - Load Balancing

KW - Resource Management

KW - SON

UR - http://www.scopus.com/inward/record.url?scp=84912058513&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2014.6952611

DO - 10.1109/WCNC.2014.6952611

M3 - Conference contribution

SN - 9781479944491

T3 - IEEE Wireless Communications and Networking Conference, WCNC

SP - 2085

EP - 2089

BT - IEEE Wireless Communications and Networking Conference, WCNC

A2 - Koca, Mutlu

PB - IEEE

CY - USA

ER -

MUNASINGHE K, Jamalipour A, SHARMA D. Eco-Inspired load optimization for LTE EUTRAN. In Koca M, editor, IEEE Wireless Communications and Networking Conference, WCNC. USA: IEEE. 2014. p. 2085-2089. 6952611. (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2014.6952611