AI-driven dynamic spectrum access and sharing

Intelligent Spectrum Management

Traditional spectrum management relies on static frequency assignments and predefined sharing rules. 6G envisions AI-driven dynamic spectrum access where deep reinforcement learning agents continuously sense spectrum occupancy across all bands — sub-6 GHz, upper mid-band, mmWave, and sub-THz — and autonomously allocate resources in real time. Multi-agent reinforcement learning enables distributed base stations to cooperatively optimize spectrum usage without centralized coordination. This approach can increase spectrum utilization from the current 15-30% average occupancy to over 80% through…