Multi-user SISO precoding based on generalized multi-unitary decomposition for single-carrier transmission in frequency selective channel
2009 IEEE Wireless Communications and Networking Conference, 2009•ieeexplore.ieee.org
In this paper, we propose to exploit the richly scattered multi-path nature of a frequency
selective channel to provide additional degrees of freedom for designing effective precoding
schemes for multi-user communications. We design the precoding matrix for multi-user
communications based on the generalized multi-unitary decomposition (GMUD), where the
channel matrix H is transformed into P i R r Q i H. An advantage of GMUD is that multiple
pairs of unitary matrices P i and Q i can be obtained with one single R r, Since the column of …
selective channel to provide additional degrees of freedom for designing effective precoding
schemes for multi-user communications. We design the precoding matrix for multi-user
communications based on the generalized multi-unitary decomposition (GMUD), where the
channel matrix H is transformed into P i R r Q i H. An advantage of GMUD is that multiple
pairs of unitary matrices P i and Q i can be obtained with one single R r, Since the column of …
In this paper, we propose to exploit the richly scattered multi-path nature of a frequency selective channel to provide additional degrees of freedom for designing effective precoding schemes for multi-user communications. We design the precoding matrix for multi-user communications based on the generalized multi-unitary decomposition (GMUD), where the channel matrix H is transformed into PiRrQi H. An advantage of GMUD is that multiple pairs of unitary matrices Pi and Qi can be obtained with one single Rr, Since the column of Qi can be used as the transmission beam of a particular user, multiple solutions of Qi provide a large selection of transmission beams, which can be exploited to achieve high degrees of orthogonality between the multipaths, as well as between the interfering users. Hence the proposed precoding technique based on GMUD achieves better performance than precoding based on singular value decomposition.
ieeexplore.ieee.org