In-depth architectural analysis of Cooperative Beam Allocation and Multi-Agent Reinforcement Learning for ISAC Fleets in 6G Integrated Sensing and Communication systems.
Comprehensive formulation of Cooperative Beam Allocation and Multi-Agent Reinforcement Learning for ISAC Fleets addressing propagation models, transceiver limits, and coexistence trade-offs under 3GPP standards.
Hardware acceleration, phased array architectures, and edge DSP pipelines required to achieve real-time performance in ISACOrchestration environments.