MIMO detection using a deep learning neural network in a mode division multiplexing optical transmission system
2019; Elsevier BV; Volume: 440; Linguagem: Inglês
10.1016/j.optcom.2019.02.016
ISSN1873-0310
AutoresBishal Poudel, Joji Oshima, H. Kobayashi, K. Iwashita,
Tópico(s)Advanced Wireless Communication Techniques
ResumoOptimum Multiple Input Multiple Output (MIMO) detector has always been a challenge in MIMO communication systems. In this paper, a novel MIMO detector has been designed using a supervised Deep Learning Neural Network (DLNN) and has been implemented successfully in a Mode Division Multiplexing (MDM) optical transmission system. A conventional Graded-Index Multi-Mode Fiber (GI-MMF) is used to design an MDM optical transmission system. We have used a DLNN for MIMO detection in MDM optical transmission system and have compared its performance with Zero Forcing (ZF) detector and Semi-Definite Relaxation Row-by-Row (SDR-RBR). The results confirm that our DLNN outruns the performance of traditional MIMO detectors.
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