Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach

Social networks have continuously been expanding and trying to be innovative. The recent advances of computing, caching, and communication (3C) can have significant impacts on mobile social networks (MSNs). MSNs can leverage these new paradigms to provide a new mechanism for users to share resources...

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Veröffentlicht in:	IEEE transactions on network science and engineering 2020-01, Vol.7 (1), p.66-79
Hauptverfasser:	He, Ying, Liang, Chengchao, Yu, F. Richard, Han, Zhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Caching Computational modeling Computer simulation deep reinforcement learning Device-to-device communication Edge computing Machine learning Mobile computing mobile edge computing Mobile social networks Optimization Resource management Social network services Social networks Trustworthiness Wireless communication Wireless networks
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