Large Language Models for Resource Block Assignment with QoS Constraints in OFDMA Multi-Cell Open RAN
Traditional approaches to resource block allocation in cellular networks rely on model-based optimization or deep reinforcement learning (DRL). Model-driven techniques lead to inefficient solutions in terms of sum-rate performance under strong interference and optimize slot-by-slot without considering historical user Q...