Abstract
Carrier aggregation (CA) is one of the most distinct features for LTE-Advanced, which is being standardized in 3GPP as part of LTE Release 10. In this paper we study the performance of measurements for deactivated component carriers with the help of initial dynamic system simulations. The detailed simulation assumptions for the system level evaluations focusing on the measurements and the corresponding simulation results are listed. Based on these simulation results, the impact of different measurement intervals and measurement periods of SCell (the serving cell on the secondary carrier) on end-user and system mobility performance is analyzed. Furthermore, some proposals on how SCell measurement period could be relaxed at most are obtained.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lwamura, M., Etemad, K., Fong, M.-H., Nory, R., Love, R.: Carrier Aggregation Framework in 3GPP LTE-Advanced. IEEE Communications Magazine (August 2010)
R2-102671, Report of 3GPP TSG RAN WG2 meeting #69bis, ETSI MCC
R4-101387, Discussion on mobility evaluations for carrier aggregation, Nokia, Nokia Siemens Networks
R4-102114, Simulation assumptions for Mobility performance in Carrier Aggregation, NTT DOCOMO
R4-102041, Simulation assumptions for Mobility performance in Carrier Aggregation, Nokia, Nokia Siemens Networks
R4-102730, Baseline simulations assumptions for measurements of deactivated carriers, Nokia, Nokia Siemens Networks, Mediatek, NTT DOCOMO, Huawei
R4-100380, Way forward on carrier aggregation deployment scenarios and multiple timing advance
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Du, Y.F., Yang, D., Xiao, D. (2012). The Impact of SCell Measurement Period on Mobility Performance in LTE-A with Carrier Aggregation. In: Zhang, W. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29455-6_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-29455-6_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29454-9
Online ISBN: 978-3-642-29455-6
eBook Packages: EngineeringEngineering (R0)