基于进化生成对抗网络的多输入多输出分子通信端到端学习

IF 2.9 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Nano Communication Networks Pub Date : 2023-05-01 DOI:10.1016/j.nancom.2023.100456

Jiarui Zhu, Chenyao Bai, Yunlong Zhu, Xiwen Lu, Kezhi Wang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolutionary generative adversarial network based end-to-end learning for MIMO molecular communication with drift system

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来源期刊

Nano Communication Networks Mathematics-Applied Mathematics

CiteScore

6.00

自引率

6.90%

发文量

期刊介绍： The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published. Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal.