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
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