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A Hybrid Optimization and Deep RL Approach for Resource Allocation in Semi-GF NOMA Networks
In this design, a multi-agent deep Q network (MADQN) approach is employed to conduct the subchannel assignment (SA) among users.
GEO Payload Power Minimization: Joint Precoding and Beam Hopping Design
Regarding constraint on the maximum number of illuminated beams per time slot, the technical requirement is formulated as a sparse optimization problem in which the hardware-related beam illumination energy is modeled in a sparsity form of the LP vectors.
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