Multiuser MIMO Downlink Made Practical: Application to IEEE 802.16m

Multi-User (MU) Muliple Input-Multiple Output (MIMO) has become an essential technology to achieve IMT advanced requirements. Performance of limited feedback Multi-User MIMO in spatially and time correlated channels are investigated in this paper. A special attention is drawn to the case where users have the opportunity to adapt their codebooks as a function of their own channel statistics (i.e. transmit correlation, time correlation or channel imbalance in dual-polarized scenarios). New codebook designs are provided for various propagation conditions. We show by analytical derivations (e.g. sum-rate analysis) and confirm by simulations how those channel statistics can be efficiently exploited in the design of Multi-User MIMO schemes with very low feedback overhead and low complexity. Those approaches are currently strong candidates to boost performance of IEEE 802.16m way beyond IEEE 802.16e and 3GPP LTE.

[1]  Robert W. Heath,et al.  Limited feedback diversity techniques for correlated channels , 2006, IEEE Transactions on Vehicular Technology.

[2]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

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

[4]  James R. Zeidler,et al.  Feedback assisted transmission subspace tracking for MIMO systems , 2003, IEEE J. Sel. Areas Commun..

[5]  Nihar Jindal,et al.  Beamforming with Finite Rate Feedback for LOS MIMO Downlink Channels , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[6]  Jeffrey G. Andrews,et al.  WLC38-5: Multi-Antenna Limited Feedback for Temporally-Correlated Channels: Feedback Compression , 2006, IEEE Globecom 2006.

[7]  Kenneth W. Shum,et al.  Convergence of Iterative Waterfilling Algorithm for Gaussian Interference Channels , 2007, IEEE Journal on Selected Areas in Communications.

[8]  Nihar Jindal.  MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.

[9]  Robert W. Heath,et al.  Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels , 2007, IEEE Journal on Selected Areas in Communications.

[10]  Bruno Clerckx,et al.  Differential Rotation Feedback MIMO System for Temporally Correlated Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[11]  Bruno Clerckx,et al.  MU-MIMO with Channel Statistics-Based Codebooks in Spatially Correlated Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[12]  Bruno Clerckx,et al.  Allocation of Feedback Bits Among Users in Broadcast MIMO Channels , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[13]  Bhaskar D. Rao,et al.  Capacity Analysis of Correlated Multiple Antenna Systems With Finite Rate Feedback , 2006, 2006 IEEE International Conference on Communications.

[14]  G.B. Giannakis,et al.  Design and analysis of transmit-beamforming based on limited-rate feedback , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.