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

Author:

Mirza Muhammad AyzedORCID,Yu Junsheng,Ahmed ManzoorORCID,Raza SalmanORCID,Khan Wali Ullah,Xu FangORCID,Nauman AliORCID

Publisher

Elsevier BV

Subject

General Computer Science

Reference58 articles.

1. 3GPP TR 36.814: Further advancements for E-UTRA physical layer aspects;Abeta,2017

2. Joint optimization of UAV-IRS placement and resource allocation for wireless powered mobile edge computing networks;Ahmed;J. King Saud Univ. Comput. Inf. Sci.,2023

3. A survey on vehicular task offloading: Classification, issues, and challenges;Ahmed;J. King Saud Univ. Comput. Inf. Sci.,2022

4. A survey on STAR-RIS: Use cases, recent advances, and future research challenges;Ahmed;IEEE Internet Things J.,2023

5. Dynamic resource allocation for IRS assisted energy harvesting systems with statistical delay constraint;Ahmed;IEEE Trans. Veh. Technol.,2021

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