This paper proposed a knowledge-driven network access approach, where the communication knowledge is explicitly integrated into neural networks.

In SAGIN-based vehicular networks, resource scheduling is a research hotspot, which includes frequency, power, time, computing, sensing, storage resources and ...

A knowledge-driven network access approach, where the communication knowledge is explicitly integrated into neural networks, to deal with multiple tasks in ...

The ground network is mainly based on BSs, which provide local connectivity. SAGIN's resource diversity enables efficient communication, with resource ...

Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks ... IEEE Transactions on Network and Service Management.

Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks. WCNC 2023: 1-6. [c25]. view. electronic edition via DOI · unpaywalled ...

Aug 5, 2024 · Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks. WCNC 2023: 1-6. [c27]. view. electronic edition via DOI ...

Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks · Space-air-ground integrated networks (SAGIN) have been envisioned as ...

Feb 1, 2024 · Cheng, Y. Hui, and D. Liang, “Delay-oriented knowledge-driven resource allocation in SAGIN-based vehicular networks,” in Proc. IEEE Wireless ...

In this article, we present our developed SAGIN simulation platform which supports various mobility traces and protocols of space, aerial, and terrestrial ...