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Distributed Constrained Resource Management in 6G Networks: A Scalable Hybrid Model-Learning Framework
Radio Resource Management (RRM) is a fundamental challenge in 6G wireless networks, particularly under dynamic user demands, inter-cell interference, and heterogeneous QoS constraints. Centralized optimization solutions are often infeasible in practice due to the lack of system-wide state informatio
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