📡 MAC and Community Layers: ML’s Actual Playground
Above the PHY layer, ML turns into a transformative device. The medium entry management (MAC), community, and utility layers are formed not simply by indicators, however by human habits, visitors dynamics, and service range.
These layers are:
- Wealthy in information
- Sparse in analytical fashions
- Steadily altering and onerous to foretell
That’s precisely the place machine studying thrives.
🔍 ML Use Circumstances Above PHY:
- Mobility prediction: Enhance handover choices in dense city deployments.
- Load balancing: Distribute customers intelligently throughout base stations or community slices.
- QoS-aware scheduling: Allocate bandwidth in response to person wants and app priorities.
- Power-aware useful resource administration: Deactivate underutilized base stations throughout off-peak hours primarily based on predictive fashions.
These eventualities resist clear mathematical modeling — however lend themselves naturally to statistical studying and real-time inference.
