Multi-State Parameter Self-Optimization Using Deep Reinforcement Learning for Energy-Efficient Low-Latency Massive MIMO Systems
Massive MIMO systems require simultaneous optimization of energy efficiency, latency, and handover performance, yet existing approaches address these objectives in isolation across disparate parameter spaces. This paper proposes a multi-state parameter self-optimization framework that jointly optimizes across five inte...