Double-Cap Differential Codebook Structure for MU MISO Systems in Correlated Channels

We propose a double-cap differential codebook (DCB) design for multiuser (MU) multiple-input-single-output systems. The MU transmission uses signal-to-leakage-and-noise ratio precoding. The double-cap DCB is designed for temporally/ spatially correlated channels and is based on a combined spherical and polar cap structure. We consider an inner spherical cap and an outer polar cap structure with different radii. The design allows us to systematically alter the radii of the caps over the feedback time depending on the previously selected codeword. The proposed double-cap DCB does not require knowledge of temporal or spatial channel correlation at the base-station, thus removing the overhead of additional feedback from the user. Simulation results show the effectiveness of the proposed double-cap DCB over a single polar cap DCB in terms of sum capacity gain and quantization errors.

[1]  Bruno Clerckx,et al.  MIMO Systems with Limited Rate Differential Feedback in Slowly Varying Channels , 2011, IEEE Transactions on Communications.

[2]  David James Love,et al.  On the performance of random vector quantization limited feedback beamforming in a MISO system , 2007, IEEE Transactions on Wireless Communications.

[3]  Gerhard Bauch,et al.  Differential Codebook MIMO Precoding Technique , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[4]  Mansoor Shafi,et al.  Limited feedback multiuser MISO systems with differential codebooks in correlated channels , 2013, 2013 IEEE International Conference on Communications (ICC).

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

[6]  D.J. Love,et al.  Utilizing temporal correlation in multiuser MIMO feedback , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[7]  Stephen V. Hanly,et al.  Statistical Beamforming on the Grassmann Manifold for the Two-User Broadcast Channel , 2011, IEEE Transactions on Information Theory.

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

[9]  Bruno Clerckx,et al.  A New Design of Polar-Cap Differential Codebook for Temporally/Spatially Correlated MISO Channels , 2012, IEEE Transactions on Wireless Communications.

[10]  Robert W. Heath,et al.  Geodesic prediction for limited feedback multiuser MIMO systems in temporally correlated channels , 2009, 2009 IEEE Radio and Wireless Symposium.

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

[12]  Ali H. Sayed,et al.  A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels , 2007, IEEE Transactions on Wireless Communications.

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

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

[15]  Mansoor Shafi,et al.  A Differential Codebook with Adaptive Scaling for Limited Feedback MU MISO Systems , 2014, IEEE Wireless Communications Letters.