Equalization of multiuser MIMO high speed downlink packet access

We present a model for multiuser multi-input multi-output (MIMO) high speed downlink packet access (HSDPA) with covariance based linear precoders. The linear procoders, which are designed for single stream detection with rake receivers, are independent of the equalizers employed in multiple antenna receivers to support multistream detection. These symbol based equalizers are designed to minimize the mean square error (MSE) of the signal estimates. Both theoretical analysis and numerical results show the applicability of the proposed approach in HSDPA. There is no limitation on the number of users as long as enough code channels are available. Also, all the users have free choice on how many antennas they can deploy. This approach extends the covariance based precoding concept from MISO to MIMO systems.

[1]  Max H. M. Costa,et al.  Writing on dirty paper , 1983, IEEE Trans. Inf. Theory.

[2]  Giuseppe Caire,et al.  Limiting performance of block-fading channels with multiple antennas , 2001, IEEE Trans. Inf. Theory.

[3]  Shlomo Shamai,et al.  On channels with partial channel state information at the transmitter , 2005, IEEE Transactions on Information Theory.

[4]  Jeffrey G. Andrews,et al.  Multiuser Space-Time Block Coded MIMO System with Unitary Downlink Precoding , 2004 .

[5]  Ross D. Murch,et al.  A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach , 2004, IEEE Transactions on Wireless Communications.

[6]  A.S. Dakdouki,et al.  On the eigenvalue distribution of smart-antenna arrays in wireless communication systems , 2004, IEEE Antennas and Propagation Magazine.

[7]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[8]  Bhaskar D. Rao,et al.  Multiple antenna channels with partial channel state information at the transmitter , 2004, IEEE Transactions on Wireless Communications.

[9]  Holger Boche,et al.  Iterative multiuser uplink and downlink beamforming under SINR constraints , 2005, IEEE Transactions on Signal Processing.

[10]  Josef A. Nossek,et al.  Linear transmit processing in MIMO communications systems , 2005, IEEE Transactions on Signal Processing.

[11]  Jeffrey G. Andrews,et al.  Multiuser space-time block coded MIMO system with downlink precoding , 2004 .

[12]  Josef A. Nossek,et al.  Covariance-based linear precoding , 2006, IEEE Journal on Selected Areas in Communications.

[13]  J. Nossek,et al.  Covariance Based Linear Precoding for Full Rank Channels , 2005 .

[14]  Gregory W. Wornell,et al.  Performance limits of coded diversity methods for transmitter antenna arrays , 1999, IEEE Trans. Inf. Theory.

[15]  Shidong Zhou,et al.  Multiuser MIMO downlink precoder design based on the maximal SJNR criterion , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[16]  Jeffrey G. Andrews,et al.  Multiuser space-time block coded MIMO with downlink precoding , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[17]  E. Biglieri,et al.  Limiting performance of block-fading channels with multiple antennas , 1999, Proceedings of the 1999 IEEE Information Theory and Communications Workshop (Cat. No. 99EX253).

[18]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..