Lattice-Reduction-Aided Symbol-Wise Intra-Iterative Interference Cancellation Detector for Massive MIMO System

Abstract

Massive multiple-input multiple-output (MIMO) system plays an important role of increasing spectral efficiency in the fifth-generation (5G) cellular communication. The MIMO detection complexity increases significantly along with the number of antennas. Thus, the design of high-performance low-complexity detector for massive MIMO is a challenging design issue for the 5G system. This paper proposes a lattice-reduction-aided (LRA) symbol-wise (SW) detection technique to enhance the performance of the intra-iterative interference cancellation (IIC) detector based on Newton’s method. The proposed SW IIC detector has near minimum-mean-square-error performance with faster convergence speed and lower computational complexity than the original IIC detector. In a 64-QAM $128 \times 8$ up-link MIMO system, the proposed LRA SW IIC detector reduces about 95.35% computational complexity of the original IIC detector under the same BER performance. Considering the preprocessing complexity of the LR in the time-varying channel, the proposed LRA SW IIC detector still has lower complexity when the coherent frame size is larger than 12 MIMO symbols.