2021/10/05 by Erico S. P. Lopes, Lopes, Erico S. P., Lukas T. N. Landau +3
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #Telecommunications and Broadcasting Technologies #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2110.02379
openalex publication_date 2021/10/05 · openalex created_date 2021/10/11 · openalex updated_date 2026/07/28
We propose an optimal low-resolution precoding technique that minimizes the symbol error probability of the users. Unlike existing approaches that rely on QPSK modulation, for the derivation of the minimum symbol error probability objective function the current approach allows for any PSK modulation order. Moreover, the proposed method solves the corresponding discrete optimization problem optimally via a sophisticated branch-and-bound method. Moreover, we propose different approaches based on the greedy search method to compute practical solutions. Numerical simulations confirm the superiority of the proposed minimum symbol error probability criteria in terms of symbol error rate when compared with the established MMDDT and MMSE approaches.