Optimizing Task Offloading in NOMA-Enhanced MEC Systems via Large Model-Assisted Reinforcement Learning
Mobile edge computing effectively reduces delay and improves the system efficiency by offloading computing tasks. However, the standard communication channel, Orthogonal Frequency Division Multiple Access (OFDMA), is difficult to support large-scale connections in dense networks. Meanwhile, existing task offloading met...