High-throughput signal detection based on fast matrix inversion updates for uplink massive multiuser multiple-input multi-output systems - Deng, Qian; Guo, Li; Dong, Chao; Lin, Jiaru; Meng, Dedan; Chen, Xueyan (IET communications, 2017)
Keywords: approximation theory; base station antenna; BS antennas; channel estimates; channel estimation; convergence; convergence rate; detection performance; fast matrix inversion updates; high‐throughput signal detection; matrix approximation; matrix decomposition; matrix inversion; matrix inversion recomputations; MIMO communication; optimal coefficients; optimal iterative initial solution; optimal relaxation parameter; polynomial matrices; Research Article; signal detection; small perturbation; update detection algorithms; uplink massive multiuser multiple‐input multi‐output systems; user terminal antenna; zero‐forcing detector; zero‐forcing matrix decomposition polynomial expansion update; zero‐forcing successive over relaxation update; ZF‐MDPE‐update algorithm; ZF‐SOR‐update algorithms; optimal relaxation parameter; convergence; detection performance; ZF-MDPE-update algorithm; matrix decomposition; polynomial matrices; matrix inversion recomputations; high-throughput signal detection; fast matrix inversion updates; MIMO communication; zero-forcing detector; approximation theory; ZF-SOR-update algorithms; signal detection; small perturbation; matrix inversion; zero-forcing successive over relaxation update; optimal coefficients; matrix approximation; channel estimates; user terminal antenna; zero-forcing matrix decomposition polynomial expansion update; channel estimation; optimal iterative initial solution; BS antennas; uplink massive multiuser multiple-input multi-output systems; update detection algorithms; convergence rate; base station antenna