Channel Correlation Matrix Based Tomlinson-Harashima Precoding for Downlink Multi-User Transmission

Tomlinson-Harashima precoding (THP) is a kind of nonlinear precoding schemes, which shows impressive transmission performance gain than the linear precoding schemes. However, conventional THP precoding requires accurate channel information at the transmitter to maintain satisfactory performance, such as the multiple input multiple output (MIMO) downlink channel matrix, thus doing nonlinear precoding with precoding granularity of one sub-carrier under frequency selective channel will lead to a limitation of its performance and application. In this paper, for enhancing the performance of conventional THP, we consider to do THP precoding based on channel correlation matrix R for multi-user MIMO systems, which makes better use of the statistical property of the fading channel. We propose a class of novel channel correlation matrix based THP schemes, termed as THP-R and THP-R(E). We also consider the practical case of increasing the precoding granularity under frequency selective channel. Furthermore, we present the analytical analysis of how the proposed THP-R and THP- R(E) schemes are working based on the channel correlation matrix R. Simulation results exhibit that the proposed THP- R and THP-R(E) schemes provide significant performance gain than conventional THP as the precoding granularity increases. THP-R and THP-R(E) show robust performance not only with different precoding granularity, but also with the latency of the channel.

[1]  David W. Lin,et al.  LTE-Advanced Downlink Channel Estimation under Minimum Resource Allocation with DM-RS , 2018, 2018 IEEE 87th Vehicular Technology Conference (VTC Spring).

[2]  Tho Le-Ngoc,et al.  Vector Perturbation Precoding Under Quantized CSI , 2016, IEEE Transactions on Vehicular Technology.

[3]  Robert F. H. Fischer,et al.  Precoding in multiantenna and multiuser communications , 2004, IEEE Transactions on Wireless Communications.

[4]  Yongwan Park,et al.  Efficient user selection algorithms for multiuser MIMO systems with zero-forcing dirty paper coding , 2011, Journal of Communications and Networks.

[5]  Biljana Badic,et al.  On the Equivalence of MMSE and IRC Receiver in MU-MIMO Systems , 2011, IEEE Communications Letters.

[6]  N. Blaunstein,et al.  Capacity and spectral efficiency of MIMO wireless systems in multipath urban environments with fading , 2006, 2006 First European Conference on Antennas and Propagation.

[7]  Lorenzo Rubio,et al.  Computing the Closest Positive Definite Correlation Matrix for Experimental MIMO Channel Analysis , 2011, IEEE Communications Letters.

[8]  Ion Marghescu,et al.  Enhanced IRC-SIC algorithm with beamforming for MU-MIMO systems , 2015, 2015 International Symposium on Signals, Circuits and Systems (ISSCS).

[9]  Tomoki Yoshimura,et al.  Efficient combination of multi-user MIMO THP and user selection based on spatial orthogonality , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[10]  Seong Keun Oh,et al.  A Simplified Iterative Water-Filling Algorithm for Per-User Power Allocation in Multiuser MMSE-Precoded MIMO Systems , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[11]  Baoming Bai,et al.  ZF-THP Combined with Receive Beamforming for Multi-User MIMO Downlinks , 2009, 2009 First International Conference on Information Science and Engineering.

[12]  Tharmalingam Ratnarajah,et al.  Complex interference optimization for power loss reduction in MIMO-THP transmission , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[13]  Peng Liu,et al.  Multi-user MIMO linear precoding schemes in OFDM systems , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[14]  Satoshi Konishi,et al.  Experimental Results between Non-Linear and Linear Precoding Using Multiuser MIMO Testbed , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[15]  Andrew Thangaraj,et al.  Dirty paper coding versus beamforming in multi-user MIMO under OFDM , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

[16]  Taek Keun Lyu Capacity of multi-user MIMO systems with MMSE and ZF precoding , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[17]  Shen Dongya,et al.  The simple channel capacity estimation for MIMO wireless channels , 2005, 2005 IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications.