ETHOS: ML-enabled RAN Testing & Validation Framework

Overview

ETHOS (Evaluation and Testing for Heterogeneous Open-Source RAN) is an NTIA (National Telecommunications and Information Administration) public wireless supply chain innovation project developing advanced testing and validation frameworks for ML-enabled radio access networks (RAN). The project creates standardized methodologies for evaluating real-world performance of 5G/6G software-defined RAN deployments.

Funding & Timeline

Funder: NTIA Public Wireless Supply Chain Innovation Fund
Award Amount: Multi-million dollar investment
Project Duration: Through 2028
Focus: RAN software validation and testing
Status: Active development

Project Objectives

1. Testing Framework Development

Standardized test methodologies for RAN software
Interoperability testing protocols
Performance benchmarking standards
Repeatability and reproducibility framework

2. Multi-dimensional Evaluation

Software Stability: Robustness and reliability assessment
Interoperability: Cross-vendor compatibility validation
Energy Efficiency: Power consumption optimization
Communication Performance: Throughput, latency, quality metrics

3. ML-enabled RAN Testing

AI/ML algorithm validation
Model robustness evaluation
Adversarial scenario testing
Online learning safety

Key Research Areas

RAN Testing Methodology

Controlled test environments
Reproducible test scenarios
Baseline performance metrics
Regression testing protocols

Open RAN Validation

O-RAN compliant testing
Vendor interoperability
Software modularity validation
Integration testing

ML Model Evaluation

Training data quality assessment
Model generalization testing
Failure mode analysis
Performance prediction accuracy

Field Performance Validation

Real-world deployment testing
Network measurement campaigns
User experience evaluation
Operational insights

Technology Stack

Testing Infrastructure

Programmable testbeds (RENEW, Houdini integration)
Controlled propagation environments
Real-time monitoring systems
Data logging and analysis

Analysis Tools

Machine learning evaluation frameworks
Performance analytics pipeline
Visualization and reporting
Anomaly detection systems

Rice Wireless Connection

Faculty Lead: Rahman Doost-Mohammady (Research Assistant Professor)

Key contributions from Rice Wireless:

RAN software testing expertise
ML algorithm evaluation methods
Testbed integration and operation
Open RAN protocol validation

Impact & Significance

ETHOS addresses critical challenges in 5G/6G deployment:

Supply Chain Security: Validated software provenance
Quality Assurance: Standardized testing methodologies
Innovation Acceleration: Faster vendor integration
Interoperability: True O-RAN realization

Industry Collaboration

Stakeholders

Network equipment vendors
Software developers
Wireless operators
Open RAN alliance members

Adoption Pathways

Testing as industry standard
Certification program potential
Technology transfer to vendors
Community feedback integration

Learn More: ETHOS Project Website | NTIA Public Wireless Fund