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Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RAN
Nevertheless, the flexibility in the functional deployment comes at the cost of stringent fronthaul (FH) capacity and latency requirements.
Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization
In the Centralized-Radio Access Network (C-RAN) architecture, functions can be placed in the central or distributed locations.
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