Lattice Reduction-Aided Successive Interference Cancelation for MIMO Interference Channels

• Published in: IEEE transactions on vehicular technology Vol. 63; no. 8; pp. 4131 - 4135
• Main Authors: Jaehyun Park, Clerckx, Bruno, Joohwan Chun, Byung Jang Jeong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-10-2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Alignment; Channels; Covariance matrices; Degrees of freedom; Error detection; Interference; Lattices; Mathematical analysis; Mean square values; MIMO; Receivers; Silicon carbide; Vectors; lattice reduction; Interference alignment; interference channel; interference cancelation
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2014.2302323

In multiple-input-multiple-ouput (MIMO) interference channels (IFCs), interference alignment (IA) with zero-forcing (ZF) linear detection can be used to achieve the maximum degrees of freedom (DoFs). However, ZF linear detection usually degrades the performance due to the noise enhancement in practical systems. In this paper, we propose lattice reduction (LR)-aided successive interference cancelation (SIC) in conjunction with IA over lattice for three-user (and extendable to K-user) MIMO IFCs in which the interfering signals aligned over the lattices are detected and canceled rather than nulled out. To complete the proposed LR-aided SIC method, the detection ordering and the precoding matrix that minimize the mean square error are also determined.