Achieving low-complexity maximum-likelihood detection for the 3D MIMO code

作者：Liu Ming; Crussiere Matthieu^*; Helard Maryline; Helard Jean Francois

来源：EURASIP Journal on Wireless Communications and Networking, 2014, 2014(1): 20.

DOI：10.1186/1687-1499-2014-20

• MIMO
• Space-time codes
• Maximum-likelihood decoding
• Computational complexity

The 3D Multiple-input multiple-output (MIMO) code is a robust and efficient space-time block code (STBC) for the distributed MIMO broadcasting but suffers from high maximum-likelihood (ML) decoding complexity. In this paper, we first analyze some properties of the 3D MIMO code to show that the 3D MIMO code is fast decodable. It is proven that the ML decoding performance can be achieved with a complexity of O(M (4.5)) instead of O(M (8)) in quasi-static channel with M-ary square QAM modulations. Consequently, we propose a simplified ML decoder exploiting the unique properties of the 3D MIMO code. Simulation results show that the proposed simplified ML decoder can achieve much lower processing time latency compared to the classical sphere decoder with Schnorr-Euchner enumeration.

• 出版日期2014-2-1