Work

Energy Efficiency Optimization for IoT Systems With Reconfigurable Intelligent Surfaces: A Self-Supervised Reinforcement Learning Approach

Year: 2025

Type: article

Source: IEEE Transactions on Wireless Communications

DOI: 10.1109/twc.2025.3562900

Authors: Haoran Peng, Yen-Ting Lin, Cheng-Yuan Ho, Li-Chun Wang

Institutions: Wenzhou University, National Yang Ming Chiao Tung University

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, National Science and Technology Council, Natural Science Foundation of Zhejiang Province

Awards: G1056167192, G2071016343, G2364686695, 基于数字孪生的无人机集群控制与协同组网关键技术研究, G4469282379, G4493257420, G4718691791, G4877779450, G81807870, G8843148941

OpenAlex ID: W4409917241

FWCI: 0.225

Cites: 44

Cited by: 1

Related to: 10