DocumentCode :
2078166
Title :
Energy-efficient and interference-aware handover decision for the LTE-Advanced femtocell network
Author :
Xenakis, D. ; Passas, Nikos ; Merakos, Lazaros ; Verikoukis, Christos
Author_Institution :
Dept. of Inf. & Telecommun., Univ. of Athens, Athens, Greece
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
2464
Lastpage :
2468
Abstract :
Femtocells will play a key role for the wide adoption of the LTE-Advanced system, as they bring the access network closer to the end user in a cost-effective manner. This disruptive communication paradigm, however, dictates the use of advanced interference and mobility management algorithms to cope with the dense yet unplanned network layout. In this paper, we present an interference-aware handover decision algorithm for the LTE-Advanced femtocell network, which utilizes standard signal measurements to select the candidate cell that a) attains the minimum required channel gain for sustaining service continuity and b) minimizes the mean UE transmit power for a prescribed mean SINR target. The proposed algorithm attains backwards compatibility with the LTE-Advanced system, as it is deployed by using the private mechanism for non-standard use. Based on the evaluation methodology of the Small Cell forum, we validate the performance of the proposed algorithm and compare it against that of other state-of-the-art algorithms.
Keywords :
Long Term Evolution; femtocellular radio; interference suppression; mobility management (mobile radio); LTE-advanced femtocell network; access network; channel gain; disruptive communication paradigm; energy-efficient handover decision; interference management algorithm; interference-aware handover decision algorithm; mean SINR target; mean UE transmit power; mobility management algorithm; small cell forum; standard signal measurement; Algorithm design and analysis; Context; Handover; Interference; Long Term Evolution; Signal to noise ratio; LTE-Advanced; energy efficiency; femtocells; handover decision; interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6654902
Filename :
6654902
Link To Document :
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