Blockchain and Multi-Agent Learning Empowered Incentive IRS Resource Scheduling for Intelligent Reconfigurable Networks-Reference-Cited by-同舟云学术

Blockchain and Multi-Agent Learning Empowered Incentive IRS Resource Scheduling for Intelligent Reconfigurable Networks

Author:

Pan Qianqian¹^ORCID,Wu Jun²^ORCID,Li Jianhua³,Yang Wu⁴^ORCID,Guizani Mohsen⁵^ORCID

Affiliation:

1. School of Engineering, The University of Tokyo, Tokyo, Japan

2. Production and System, Graduate School of Information, Waseda University, Kitakyushu, Japan

3. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

4. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

5. Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

Funder

National Natural Science Foundation of China

Program of Shanghai Academic Young Research Leader

National Social Science Foundation Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

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