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Real-Time Neural Receiver for 5G NR by هبة محمد is a document available to read on EtoBox.
This document discusses the design and implementation of a real-time neural receiver (NRX) for 5G NR systems, focusing on a multi-user MIMO architecture that supports dynamic modulation and coding schemes without retraining. The NRX is optimized for low inference latency on NVIDIA A100 GPUs, achieving less than 1ms while maintaining minimal signal-to-noise ratio degradation. Additionally, the paper addresses the challenges of real-time inference, site-specific adaptation, and the training scheme for the NRX
- Author
- هبة محمد
- Language
- EN