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

• Published in: IEEE transactions on network science and engineering Vol. 7; no. 1; pp. 66 - 79
• Main Authors: He, Ying, Liang, Chengchao, Yu, F. Richard, Han, Zhu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2018.2865183

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...