Matrix-Lifting Semi-Definite Programming for Decoding in Multiple Antenna Systems
This paper presents a computationally efficient decoder for multiple antenna systems. The proposed algorithm can be used for any constellation (QAM or PSK) and any labeling method. The decoder is based on matrix-lifting Semi-Definite Programming (SDP). The strength of the proposed method lies in a new relaxation algorithm applied to the method of Mobasher et al. This results in a reduction of the number of variables from $(NK+1)^2$ to $(2N+K)^2$, where $N$ is the number of antennas and $K$ is the number of constellation points in each real dimension. Since the computational complexity of solving SDP is a polynomial function of the number of variables, we have a significant complexity reduction. Moreover, the proposed method offers a better performance as compared to the best quasi-maximum likelihood decoding methods reported in the literature.