An Autoencoder-Aided Multi-Objective Optimization Framework for Energy-Latency-Reliability Trade-Offs in 6G Networks
The simultaneous optimization of energy efficiency, end-to-end latency, and communication reliability constitutes a defining challenge for sixth-generation (6G) wireless networks, where conventional designs that prioritize a single performance metric are no longer sufficient. This paper proposes an autoencoder-aided mu...