Scheduling Algorithm for High-Mobility User in LTE Downlink System

Article Preview

Abstract:

Frequency diversity scheduling allocates whole system bandwidth to a user in order to conquer deep fading of the sub-band when user with high-mobility. Though OFDMA technology mitigates interference of users in same cell, it increases interference of cell edge user as base stations use same frequency. Thus, we developed a frequency diversity fairness scheduling algorithm to balance fairness of cell center user and cell edge user. It is demonstrated by computer simulation that the proposed algorithm increases user fairness of the system with same system throughput and fairness between cell edge user and cell center user. It also points out that the algorithm proposed has the same complexity with the frequency diversity scheduling algorithm.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2143-2146

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Tomi Johansson. 3GPP LTE Release 9 and 10 requirement analysis to physical layer testing[D]. Helsinki, University of Helsinki(2013).

Google Scholar

[2] Kshatriya S.N. S, Cewit, Chennai, et al. Performance evaluation of open loop multi-user MIMO systems2011[C]. Bangalore(2011).

Google Scholar

[3] Mohammad T. K., Hasib M.A.B.F., Abduhu r. H., et al. Performance Comparison between Round Robin and Proportional Fair Scheduling Methods for LTE[J]. International Journal of Information and Electronics Engineering(2012) 2( 5): 678-681.

DOI: 10.7763/ijiee.2012.v2.186

Google Scholar

[4] Ashley Mills., David Lister., Marina D. V., et al. The impact of MS velocity on the performance of frequency selective scheduling in IEEE 802. 16e Mobile WiMAX, 2010[C]. Las Vegas(2010).

DOI: 10.1109/ccnc.2010.5421844

Google Scholar

[5] Niu Jinping, Lee Daewon, Ren Xiaofeng, et al. Scheduling exploiting frequency and multi-user diversity in LTE downlink system, IEEE Trans. Wireless Commun. (2013)12 (4): 1843-1849.

DOI: 10.1109/twc.2013.022013.121020

Google Scholar

[6] Niu Jinping, Lee Daewon, Su Tao, et al. User Classification and Scheduling in LTE Downlink Systems with Heterogeneous User Mobilities, IEEE Trans. On Wireless Commun. (2013) 12(12): 6205-6213.

DOI: 10.1109/tw.2013.103113.130058

Google Scholar

[7] International Telecommunication Union, Guidelines for evaluation of radio interface technologies for IMT-Advanced, Report M. 2135-1 [R], ITU-R(2008).

Google Scholar