Enabling Combined Relay Selection in Stochastic Wireless Networks by Recurrent Neural Computing-Reference-Cited by-同舟云学术

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Enabling Combined Relay Selection in Stochastic Wireless Networks by Recurrent Neural Computing

Published:2022 Issue: Volume: Page:1-17
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Tang Jiashen¹^ORCID,Dang Shuping²^ORCID,Abdullah Salwani¹^ORCID,Nazri Mohd Zakree Ahmad¹^ORCID,Sabar Nasser R.³^ORCID

Affiliation:

1. Center for Artificial Intelligence, Faculty of Information Science and Technology, The National University of Malaysia, Bangi, Selangor, Malaysia

2. Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK

3. Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

Funder

Universiti Kebangsaan Malaysia Research

Publication Incentive Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09847036.pdf?arnumber=9847036

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DRAMS: Double-RIS assisted multihop routing scheme for device-to-device communication;Computer Communications;2024-04

2. Adaptive Incentivize for Cross-Silo Federated Learning in IIoT: A Multi-agent Reinforcement Learning Approach;IEEE Internet of Things Journal;2023

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