# ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

Repository: https://github.com/ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
Canonical: https://ross.abutalabs.com/products/paper-with-code-of-wireless-communication-based-on-dl
License Family: other
Topics: wireless-communication, deep-learning, channel-estimation, mimo, machine-learning, power-control, communication-systems, mimo-systems
Last push: 2023-07-26T05:03:28+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2750, "days_push": 1134, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2264, forks 676 (observed 2026-08-28T04:06:32.062594+00:00)

## What it is
A curated list of research papers applying deep learning to wireless communication, organized by subfield (physical layer, resource optimization, distributed learning, etc.), with links to open-source code implementations. It is maintained with daily automated updates of new arXiv papers with code.

## Use cases
- find open-source code for deep learning wireless communication papers
- get started with deep learning for channel estimation research
- find MIMO deep learning paper implementations
- track new arXiv papers on machine learning for communications
- find power control deep learning code examples
- reproduce research in communication systems with deep learning

## When to choose
- you are a graduate student entering deep learning for wireless communications
- you need to find reproducible implementations of communication papers
- you want a categorized, regularly updated list of DL+communication papers with code

## When to avoid
- you need working software rather than a paper index
- you want traditional (non-DL) communication paper code, which is still a TODO
- you need a complete exhaustive list, as coverage is limited by maintainer focus

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, documentation
- domain: machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: wireless-communication, paper-with-code, channel-estimation, mimo, power-control, curated-list, physical-layer, academic-research, telecommunications, research

## Member repositories
- ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:32.062594+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:42:25.757719+00:00, confidence not recorded.
  - readme: https://github.com/ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL (fetched 2026-08-28T04:06:32.062594+00:00, sha 3ba09c6caa7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.