MIMO Precoding Using Rotating Codebooks

Next-generation wireless communications rely on multiple-input-multiple-output (MIMO) techniques to achieve high data rates. Feedback of channel information can be used in MIMO precoding to fully activate the strongest channel modes and improve MIMO performance. Unfortunately, the bandwidth of the control channel by which the feedback is conveyed is severely limited. An important issue is how to improve the MIMO precoding performance with minimal feedback. In this paper, we present a method that uses a rotating codebook technique to effectively improve the precoding performance without the need to increase feedback overhead. The basic idea of the rotating codebook precoding is to expend the effective precoding codebook size via rotating multiple codebooks so that the number of feedback bits remains unchanged. Simulation results are presented to show the performance gain of the proposed rotating codebook precoding over conventional precoding.

[1]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

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

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

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

[5]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[6]  H. Bölcskei,et al.  MIMO-OFDM wireless systems: basics, perspectives, and challenges , 2006, IEEE Wireless Communications.

[7]  Robert W. Heath,et al.  Limited feedback unitary precoding for orthogonal space-time block codes , 2005, IEEE Transactions on Signal Processing.

[8]  Michael Mao Wang,et al.  Multi-Antenna Techniques for Evolved 3G Wireless Communication Networks: An Overview , 2009, J. Commun..

[9]  Radhakrishna Canchi,et al.  IEEE 802.20: Mobile Broadband Wireless Access for the Twenty-First Century , 2008, IEEE Communications Magazine.

[10]  Farooq Khan,et al.  LTE for 4G Mobile Broadband: Air Interface Technologies and Performance , 2009 .

[11]  James Sungjin Kim,et al.  On the Performance of Multiuser MIMO Systems in WCDMA/HSDPA: Beamforming, Feedback and User Diversity , 2006, IEICE Trans. Commun..

[12]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[13]  R. Heath,et al.  Limited feedback unitary precoding for spatial multiplexing systems , 2005, IEEE Transactions on Information Theory.

[14]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

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

[16]  Xiaodong Wang,et al.  Design of Multiuser Downlink Linear MIMO Precoding Systems With Quantized Feedback , 2009, IEEE Transactions on Vehicular Technology.

[17]  David James Love,et al.  Improved multiuser MIMO unitary precoding using partial channel state information and insights from the riemannian manifold , 2009, IEEE Transactions on Wireless Communications.

[18]  Helmut Bölcskei,et al.  MIMO-OFDM wireless systems: basics, perspectives, and challenges , 2006, IEEE Wirel. Commun..

[19]  Anna Scaglione,et al.  Optimal designs for space-time linear precoders and decoders , 2002, IEEE Trans. Signal Process..

[20]  Max Riegel,et al.  Deploying Mobile WiMAX , 2010 .