DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks-Reference-Cited by-同舟云学术

DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks

Published:2023-12 Issue:10 Volume:35 Page:101837
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Mirza Muhammad Ayzed^ORCID,Yu Junsheng,Ahmed Manzoor^ORCID,Raza Salman^ORCID,Khan Wali Ullah,Xu Fang^ORCID,Nauman Ali^ORCID

Publisher

Elsevier BV

Subject

General Computer Science

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2. Towards Energy-Efficiency: Integrating DRL and ze-RIS for Task Offloading in UAV-MEC Environments;IEEE Access;2024

3. Toward Optimal Resource Allocation: A Multi-Agent DRL Based Task Offloading Approach in Multi-UAV-Assisted MEC Networks;IEEE Access;2024

4. Task Offloading and Resource Allocation in an RIS-Assisted NOMA-Based Vehicular Edge Computing;IEEE Access;2024