Limited Feedback Multi-Antenna Quantization Codebook Design-Part I: Single-User Channels

In this two-part paper, we study the design and optimization of limited feedback single-user and multiuser systems with a multiple-antenna base station and single-antenna us ers. The design problem is cast in form of minimizing the average transmission power at the base station subject to the outage probability constraints at the users’ side. The optimization is over the users’ channel quantization codebooks and the transmis sion power control function at the base station. Our approach is based on fixing the outage scenarios in advance and transform ing the design problem into a robust system design problem. The first part of the paper addresses the single-user system and the second part studies the multiuser case. For the single-u ser case, we start by showing that uniformly quantizing the chanel magnitude in dB scale is asymptotically optimal, regardles of the magnitude distribution function. We derive the optimal uniform (in dB) channel magnitude codebook and combine it with a spatially uniform channel direction codebook to achieve a p roduct channel quantization codebook. We then optimize such a prod uct structure in the asymptotic regime of B → ∞, where B is the total number of quantization feedback bits. The paper shows that for channels in the real space, the asymptotically opti mal number of direction quantization bits should be (M−1)/2 times the number of magnitude quantization bits, where M is the number of base station antennas. We also show that the design ed system approaches the performance of the perfect channel st ate information system as2− 2B M+1 .

[1]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[2]  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.

[3]  Ashutosh Sabharwal,et al.  On the asymptotic performance of multiple antenna channels with quantized feedback , 2008, IEEE Transactions on Wireless Communications.

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

[5]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[6]  Bhaskar D. Rao,et al.  Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach , 2006, IEEE Transactions on Information Theory.

[7]  Vincent K. N. Lau,et al.  On the design of MIMO block-fading channels with feedback-link capacity constraint , 2004, IEEE Transactions on Communications.

[8]  Jon Hamkins,et al.  Gaussian source coding with spherical codes , 2002, IEEE Trans. Inf. Theory.

[9]  Wei Yu,et al.  Joint Power Control and Beamforming Codebook Design for MISO Channels with Limited Feedback , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[10]  Alexander Barg,et al.  Bounds on packings of spheres in the Grassmann manifold , 2002, IEEE Trans. Inf. Theory.

[11]  Gregory W. Wornell,et al.  Efficient use of side information in multiple-antenna data transmission over fading channels , 1998, IEEE J. Sel. Areas Commun..

[12]  Mikael Skoglund,et al.  Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT , 2007, IEEE Transactions on Information Theory.

[13]  Wei Yu,et al.  High resolution quantization codebook design for multiple-antenna fading channels , 2010, 2010 25th Biennial Symposium on Communications.

[14]  Srikrishna Bhashyam,et al.  Feedback gain in multiple antenna systems , 2002, IEEE Trans. Commun..