  Lenstra-Lenstra-Lovasz (LLL) algorithm, which is one of the lattice reduction
(LR) techniques, has been extensively used to obtain better basis of the
channel matrix. In this paper, we jointly apply Seysen's lattice reduction
algorithm (SA), instead of LLL, with the conventional linear precoding
algorithms. Since SA obtains more orthogonal lattice basis compared to that
obtained by LLL, lattice reduction aided (LRA) precoding based on SA algorithm
outperforms the LRA precoding with LLL. Simulation results demonstrate that a
gain of 0.5dB at target BER of 10^-5 is achieved when SA is used instead of LLL
for the LR stage.
