Massive MIMO Precoding Method based on GaBP Algorithm 

Xiuwen Wang 

College of Literature and Media, Dongguan University of Technology, Dongguan, 523429, China 

Abstract: Massive multiple input multiple output (MIMO) is one of the key technologies of the fifth genera-tion (5thGeneration, 5G) mobile communication network. In a massive MIMO system, precoding processing technology can not only effectively eliminate multi-user interference, greatly increasing the system capacity, but also simplify the receiver design and solve the problem of power consumption and volume at the user-side [1].Minimum mean square error (MMSE) precoding requires matrix inversion, which leads to high computa-tional complexity [2-4].This paper analyzes the biased MMSE precoding that pre-processes the transmission signal through a simplified iterative way, including jacobi method (JM)[5], conjugate gradient (CG)[6], neu-mann series expansion (NS) method, this paper proposes a precoding algorithm based on gaussian belief propagation (GaBP). Simulation results and complexity analysis show that with low computational complexi-ty, the bit error rate (BER) performance of the GaBP precoding algorithm is significantly better than the tradi-tional JM, CG, and NS method, and faster convergence rate. This shows that MMSE precoding based on GaBP algorithm can have lower total hardware implementation complexity and latency. 

Keywords: Massive MIMO; Precoding; MMSE; GaBP