School of Natural Sciences and Engineering

5G Advanced and 6G V2X Environments require intelligence that is real-time, resource-light and robust across high-density vehicle mobility, non-stationary channels and hard ware constrained edge nodes. Existing AI-driven resource man agement approaches — including CNNs, LSTMs, GNNs, Deep Reinforcement Learning, Transformers, and Federated Learning — have limitations, such as high computational overhead, large data requirements, poor generalization under topology churn, and catastrophic forgetting under continuous retraining.

The paper examines the disappearance of Tulare Lake (California) and the Aral Sea (Central Asia) - where river diversions for irrigation destroyed millennia-old lakeshore societies - as emblematic cases of global lake desiccation due to over-exploitation, silting, and waste dumping. It is pointed out that lakes, ponds, and other waterbodies would play an increasingly important role in recharging underground aquifers and offering a relief on a planet under stress due to climate change.