Fixed-complexity vector perturbation with block diagonalization for MU-MIMO systems

Block diagonalization (BD) is an attractive technique that transforms the multi-user multiple-input multiple-output (MU-MIMO) channel into parallel single-user MIMO (SU-MIMO) channels with zero inter-user interference (IUI). In this paper, we combine the BD technique with two deterministic vector perturbation (VP) algorithms that reduce the transmit power in MU-MIMO systems with linear precoding. These techniques are the fixed-complexity sphere encoder (FSE) and the QR-decomposition with M-algorithm encoder (QRDM-E). In contrast to the conventional BD VP technique, which is based on the sphere encoder (SE), the proposed techniques have fixed complexity and a tradeoff between performance and complexity can be achieved by controlling the size of the set of candidates for the perturbation vector. Simulation results and analysis demonstrate the properness of the proposed techniques for the next generation mobile communications systems which are latency and computational complexity limited. In MU-MIMO system with 4 users each equipped with 2 receive antennas, simulation results show that the proposed BD-FSE and BD-QRDM-E outperforms the conventional BD-THP (Tomlinson Harashima precoding) by 5.5 and 7.4dB, respectively, at a target BER of 10−4.

[1]  Björn E. Ottersten,et al.  On the complexity of sphere decoding in digital communications , 2005, IEEE Transactions on Signal Processing.

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

[3]  Robert F. H. Fischer,et al.  Precoding and Signal Shaping for Digital Transmission , 2002 .

[4]  M. Fuchs,et al.  Combination of block diagonalization and THP transmit filtering for downlink beamforming in multi-user MIMO systems , 2005, 7th European Conference on Wireless Technology, 2004..

[5]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization , 2005, IEEE Transactions on Communications.

[6]  Jialing Liu,et al.  Writing on Dirty Paper with Feedback , 2006, 2006 IEEE International Conference on Networking, Sensing and Control.

[7]  Henning Wiemann,et al.  The LTE link-layer design , 2009, IEEE Communications Magazine.

[8]  A. Lee Swindlehurst,et al.  A vector-perturbation technique for near-capacity multiantenna multiuser communication-part II: perturbation , 2005, IEEE Transactions on Communications.

[9]  Gerhard Fettweis,et al.  Multisite field trial for LTE and advanced concepts , 2009, IEEE Communications Magazine.

[10]  Jia Liu,et al.  Improved Tomlinson-Harashima precoding for the downlink of multi-user MIMO systems , 2007, Canadian Journal of Electrical and Computer Engineering.

[11]  K.-D. Kammeyer,et al.  MMSE extension of V-BLAST based on sorted QR decomposition , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

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

[13]  KyungHi Chang,et al.  Fixed-complexity sphere encoder for multi-user MIMO systems , 2011, Journal of Communications and Networks.

[14]  Kyeong Jin Kim,et al.  Near-Capacity MIMO Multiuser Precoding with QRD-M Algorithm , 2005, Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..

[15]  M. Tomlinson New automatic equaliser employing modulo arithmetic , 1971 .

[16]  Robert W. Heath,et al.  Block Diagonalized Vector Perturbation for Multiuser MIMO Systems , 2008, IEEE Transactions on Wireless Communications.

[17]  Robert W. Heath,et al.  WLC06-4: A Lattice-Based MIMO Broadcast Precoder with Block Diagonalization for Multi-Stream Transmission , 2006, IEEE Globecom 2006.

[18]  H. Miyakawa,et al.  Matched-Transmission Technique for Channels With Intersymbol Interference , 1972, IEEE Trans. Commun..

[19]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[20]  B. Hassibi,et al.  On the expected complexity of sphere decoding , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[21]  Wei Yu,et al.  Sum capacity of Gaussian vector broadcast channels , 2004, IEEE Transactions on Information Theory.