FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks
FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks
In this work, we investigate the challenging problem of on-demand semantic communication over heterogeneous wireless networks. We propose a fidelity-adjustable semantic transmission framework (FAST) that empowers wireless devices to send data efficiently under different application scenarios and resource conditions. To this end, we first design a dynamic sub-model training scheme …