What is NeoRadium?
NeoRadium is a Python library designed to simplify the simulation of physical layer communication pipeline based on the latest 3GPP 5G NR standard. Its object-oriented architecture effectively hides the complexities involved in different stages of the communication pipeline, enabling you to swiftly develop and run end-to-end simulations on any standard computer.
Wireless communication research often is focused on one particular block or module of the end-to-end communication pipeline (e.g. equalization). However, implementing the entire 3GPP pipeline just to test one block can be time-consuming and cumbersome. This is where NeoRadium comes in. It provides the end-to-end communication pipeline functionality based on 3GPP standard while allowing the researchers to customize, study, and evaluate performance of their implementation. It achieves all these capabilities without high-end hardware, complex setup, or costly GPUs. As long as your computer runs Python 3.8+ with a basic setup, you’re good to go!
NeoRadium includes a comprehensive Playground, where you can experiment with numerous examples. These examples take the form of Jupyter Notebooks and explain API details and their usage in practical contexts.
Key features
NeoRadium offers a versatile suite of functionalities designed to streamline 5G NR physical layer research and development. Here is a summary of what is available in current version. More features are continually added to expand its capabilities.
Channel Coding: Efficient transport block encoding and decoding using Polar and LDPC coding algorithms based on TS 38.212 specifications.
Carriers and Bandwidth Parts: Precise timing calculations for Cyclic Prefix, OFDM symbols, slots, subframes, and frames.
Reference signal generation including DMRS, PT-RS, and CSI-RS as per TS 38.211, TS 38.212, and TS 38.214.
Resource Grid functionality including resource mapping, OFDM modulation/demodulation, and precoding, aligned with TS 38.101, TS 38.104, and TS 38.211.
Channel Estimation, Noise Estimation, Equalization
Resource Grid Visualization: Gain valuable insights through visualized resource grid contents.
PDSCH Communication Pipeline: Simulate the complete PDSCH end-to-end communication pipeline, including modulation/demodulation, mapping/de-mapping, interleaving/de-interleaving, scrambling/descrambling, and transport block size calculations, as specified in TS 38.211 and TS 38.214.
Antenna array implementation and simulation based on TR 38.901
Antenna Field Analysis: Calculate antenna field power and directivity and create 2D/3D visualization.
Channel modeling: Apply CDL or TDL channel models to time-domain or frequency-domain signals.