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User Scheduling for Large-Scale MIMO Downlink System Over Correlated Rician Fading Channels

  • Tingting SunEmail author
  • Xiao Li
  • Xiqi Gao
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)

Abstract

In this paper, we investigate the downlink transmission, especially the user scheduling algorithm for single-cell multiple-input multiple-output (MIMO) system under correlated Rician fading channels. Under the assumption of only statistical channel state information (CSI) at the base station (BS), the statistical beamforming transmission is derived by maximizing the lower bound of the average signal-to-leakage-plus-noise ratio (\(\text {SLNR}\)). Based on this beamforming transmission algorithm, three user scheduling algorithms are proposed exploiting only statistical CSI: (1) maximum SLNR: schedule the user with the maximum SLNR; (2) most dissimilar: schedule the user that is most dissimilar to the already selected users; (3) modified-treating interference as noise (TIN): treat the inter-user interference as uncorrelated noise to each user’s useful signal and schedule the user with the largest signal-to-noise factor. Simulation results show that the proposed user scheduling algorithms perform well in achieving considerable sum rate.

Keywords

User scheduling Rician fading Downlink 

Notes

Acknowledgements

The work of X. Li was supported in part by the National Natural Science Foundation of China under Grants 61571112 and 61831013, and in part by A Foundation for the Author of National Excellent Doctoral Dissertation of PR China (FANEDD) under Grant 201446. The work of X. Gao was supported by the National Natural Science Foundation of China under Grants 61320106003 and 61521061.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina

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