Skip to content

Add channel-aware model implementation and testing framework #18

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: dev
Choose a base branch
from

Conversation

selimfirat
Copy link
Member

@selimfirat selimfirat commented Apr 20, 2025

  • Introduced a new example for channel-aware model implementation in Kaira, demonstrating the use of Channel State Information (CSI).
  • Implemented various channel-aware models including SimpleChannelAwareModel, ChannelAwareEncoder, ChannelAwareDecoder, and CompositeChannelAwareModel.
  • Added functionality for sequential processing of CSI through multiple modules.
  • Created a comprehensive test suite for channel-aware models, covering initialization, validation, normalization, conversion utilities, and CSI extraction.

Description

Please include a summary of the changes and which issue is fixed. Also include relevant motivation and context.

Fixes # (issue)

Type of Change

Please mark the relevant option:

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Documentation update
  • Performance improvement
  • Code refactoring (no functional changes)
  • CI/CD related changes

Checklist

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • Any dependent changes have been merged and published in downstream modules

Additional Information

Any additional information, screenshots, or context that would help reviewers understand the changes.

- Introduced a new example for channel-aware model implementation in Kaira, demonstrating the use of Channel State Information (CSI).
- Implemented various channel-aware models including SimpleChannelAwareModel, ChannelAwareEncoder, ChannelAwareDecoder, and CompositeChannelAwareModel.
- Added functionality for sequential processing of CSI through multiple modules.
- Created a comprehensive test suite for channel-aware models, covering initialization, validation, normalization, conversion utilities, and CSI extraction.
@selimfirat selimfirat self-assigned this Apr 20, 2025
@selimfirat selimfirat requested a review from Copilot April 20, 2025 20:46
Copy link

@Copilot Copilot AI left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Pull Request Overview

This pull request introduces a new channel‐aware model implementation along with a comprehensive testing framework and visualization example.

  • Implements several channel‐aware models and corresponding utility functions.
  • Adds robust testing for model initialization, CSI validation/normalization/conversion, sequential processing, and CSI extraction.
  • Provides an illustrative example that visualizes model outputs under various channel conditions.

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated no comments.

File Description
tests/models/test_models_channel_aware.py Implements unit tests covering different aspects of channel-aware models.
examples/models/plot_channel_aware_model.py Provides a detailed example demonstrating the usage and visualization of the new models.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant