In-depth architectural analysis of Reinforcement Learning for Adaptive Probing Beam Allocation and Schedulers in 6G Integrated Sensing and Communication systems.
Comprehensive formulation of Reinforcement Learning for Adaptive Probing Beam Allocation and Schedulers 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 ISACControl environments.