Generative neural network based spectrum sharing using linear sum assignment problems

Spectrum management and resource allocation (RA) problems are challenging and critical in a vast number of research areas such as wireless communications and computer networks. The traditional approaches for solving such problems usually consume time and memory, especially for large-size problems. R...

Full description

Bibliographic Details

Published in:	China communications Vol. 17; no. 2; pp. 14 - 29
Main Authors:	Zaky, Ahmed B., Huang, Joshua Zhexue, Wu, Kaishun, ElHalawany, Basem M.
Format:	Journal Article
Language:	English
Published:	China Institute of Communications 01.02.2020 Benha University,Benha,13511,Egypt Big Data Institute,Shenzhen University,518060,China Benha University,Benha,13511,Egypt%Big Data Institute,Shenzhen University,518060,China%Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen University,Shenzhen 518060,China PCL Research Center of Networks and Communications,Peng Cheng Laboratory,Shenzhen 518060,China%Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen University,Shenzhen 518060,China
Subjects:	autoencoder Computer architecture Device-to-device communication generative models linear sum assignment problems Machine learning Neural networks Optimization resource allocation Resource management Wireless communication generative models autoencoder resource allocation linear sum assignment problems
ISSN:	1673-5447
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!