An Efficient User Scheduling Scheme for MU-MIMO Systems with Limited Feedback

On the MU-MIMO broadcast channel, Per-User Unitary and Rate Control (PU2RC) as a practical design is proposed for emerging cellular standards in 3GPP LTE. Unfortunately, when the number of users is small, the performance of PU2RC would be degraded with the increase of codebook size. In this paper, we propose an efficient user scheduling scheme to overcome this defect in PU2RC by enlargement of user scheduling space. The key feature of the proposed scheme is that at the BS each user is associated with at least one codebook vectors with the help of a predetermined threshold value. Simulation results show that the proposed scheme can be efficient to solute the problem of conventional scheme in PU2RC at the small number of users.

[1]  R. Heath,et al.  Limited feedback unitary precoding for spatial multiplexing systems , 2005, IEEE Transactions on Information Theory.

[2]  Michael D. Zoltowski,et al.  User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate , 2008, IEEE Transactions on Signal Processing.

[3]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[4]  Andrea J. Goldsmith,et al.  Multi-Antenna Downlink Channels with Limited Feedback and User Selection , 2007, IEEE Journal on Selected Areas in Communications.

[5]  Wei Zhang,et al.  MIMO Broadcast Scheduling with Limited Feedback , 2007, IEEE Journal on Selected Areas in Communications.

[6]  Youngju Kim,et al.  A CQI Feedback Reduction Scheme for Multi-User MIMO/OFDMA Systems , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Jeffrey G. Andrews,et al.  Performance of Orthogonal Beamforming for SDMA With Limited Feedback , 2006, IEEE Transactions on Vehicular Technology.

[8]  David Gesbert,et al.  Orthogonal Linear Beamforming in MIMO Broadcast Channels , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[9]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.