MapNetAI

Elevator Pitch: MapNetAI revolutionizes the way 6G networks are managed by providing telecom operators with advanced AI-powered radio maps that improve coverage and performance, saving time and money without the need for additional transmitter data.

Concept

Real-time Radio Map Estimation Analytics for 6G Networks

Objective

To provide fast and accurate radio map estimations for the 6G wireless networks using AI.

Solution

Utilizing GAN-CRME technology to generate high-quality radio maps based on RSS measurements to enhance network resource management.

Revenue Model

Subscription-based for telecom operators, pay-per-use for temporary network deployments, and tiered pricing for analytics services.

Target Market

Telecommunications providers, Network infrastructure companies, Event organizers requiring temporary network setups, and Smart city planners.

Expansion Plan

Start with major telecom operators, expand to emerging markets with burgeoning 6G deployments, and grow the platform’s capabilities to include predictive analytics.

Potential Challenges

Complexity in adapting to diverse geographical areas, ensuring data privacy, and scaling with the expansion of 6G networks.

Customer Problem

The need for enhancing the performance of 6G network deployments through better radio resource management without increasing costs.

Regulatory and Ethical Issues

Adherence to spectrum regulations, respecting user privacy in terms of location data handling, and compliance with international data transmission standards.

Disruptiveness

Delivers real-time, cost-effective, and accurate radio maps without the need for transmitter information, which could revolutionize network management.