Orthogonal Beamforming for SDMA Downlink with Limited Feedback

On a multi-antenna downlink channel, separation of multiple users by transmit beamforming enables simultaneous transmission from the base station to the users, resulting in high sum throughput. This paper proposes and analyzes a practical algorithm for joint scheduling and orthogonal beamforming, which is enabled by feedback of quantized channel state information (CSI). In this approach, each user quantizes CSI using a codebook comprised of multiple orthonormal vector sets and sends back quantized CSI. Using feedback CSI, the base station jointly selects a set of orthogonal beamforming vectors and schedules a subset of feedback users for downlink transmission such that the throughput is maximized. For moderate to large numbers of users, the proposed algorithm achieves higher sum capacities than the conventional ones.

[1]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[2]  D. Love,et al.  Performance Analysis of Random Vector Quantization Limited Feedback Beamforming , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[3]  David Tse,et al.  Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality , 2003, IEEE Trans. Inf. Theory.

[4]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[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]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[7]  Jeffrey G. Andrews,et al.  Space Division Multiple Access With a Sum Feedback Rate Constraint , 2007, IEEE Transactions on Signal Processing.

[8]  S OSDMA.  Joint Beamforming and Scheduling for SDMA Systems with Limited Feedback , 2008 .

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

[10]  Nihar Jindal,et al.  Multi-Antenna Broadcast Channels with Limited Feedback and User Selection , 2006 .

[11]  Michael D. Zoltowski,et al.  On the sum rate of channel subspace feedback for multi-antenna broadcast channels , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[12]  Nikos D. Sidiropoulos,et al.  Low-complexity downlink beamforming for maximum sum capacity , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

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

[15]  Holger Boche,et al.  Solution of the multiuser downlink beamforming problem with individual SINR constraints , 2004, IEEE Transactions on Vehicular Technology.

[16]  B.L. Evans,et al.  Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization , 2005, IEEE Transactions on Signal Processing.

[17]  G. Wornell,et al.  MIMO Broadcast Scheduling with Limited Channel State Information , 2005 .

[18]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[19]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channels with partial side information , 2005, IEEE Transactions on Information Theory.

[20]  Andrea J. Goldsmith,et al.  Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users , 2006, 2006 IEEE International Symposium on Information Theory.

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

[22]  Jeffrey G. Andrews,et al.  Opportunistic Space-Division Multiple Access With Beam Selection , 2006, IEEE Trans. Commun..

[23]  G. Wornell,et al.  Finding NEMO: near mutually orthogonal sets and applications to MIMO broadcast scheduling , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[24]  Khaled Ben Letaief,et al.  A joint-channel diagonalization for multiuser MIMO antenna systems , 2003, IEEE Trans. Wirel. Commun..

[25]  Aylin Yener,et al.  Transceiver optimization for multiuser MIMO systems , 2004, IEEE Transactions on Signal Processing.

[26]  Ashutosh Sabharwal,et al.  Generalized beamforming for MIMO systems with limited transmitter information , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[27]  Gregory W. Wornell,et al.  MIMO Broadcast Scheduling with Quantized Channel State Information , 2006, 2006 IEEE International Symposium on Information Theory.