TY - GEN
T1 - Eco-Inspired load optimization for LTE EUTRAN
AU - MUNASINGHE, Kumudu
AU - Jamalipour, Abbas
AU - SHARMA, Dharmendra
PY - 2016/4/3
Y1 - 2016/4/3
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
T2 - IEEE Wireless Communications and Networking Conference 2014
Y2 - 6 April 2014 through 9 April 2014
ER -