Items where Author / Artist / Editor is "Zhang, Sijing"

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Number of items: 5.

Article

Comsa, Ioan-Sorin ORCID: https://orcid.org/0000-0002-9121-0286, Zhang, Sijing, Aydin, Mehmet ORCID: https://orcid.org/0000-0002-4890-5648, Kuonen, Pierre, Trestian, Ramona and Ghinea, Gheorghita ORCID: https://orcid.org/0000-0003-2578-5580 (2019) A comparison of reinforcement learning algorithms in fairness-oriented OFDMA schedulers. Information, 10 (10) , e315. ISSN 2078-2489 (doi:10.3390/info10100315)

Comsa, Ioan-Sorin, Zhang, Sijing, Aydin, Mehmet Emin, Kuonen, Pierre, Trestian, Ramona and Ghinea, Gheorghita (2018) Towards 5G: A reinforcement learning-based scheduling solution for data traffic management. IEEE Transactions on Network and Service Management, 15 (4) . pp. 1661-1675. ISSN 1932-4537 (doi:10.1109/TNSM.2018.2863563)

Book Section

Comsa, Ioan-Sorin, Zhang, Sijing, Aydin, Mehmet Emin, Kuonen, Pierre, Trestian, Ramona and Ghinea, Gheorghita (2019) Guaranteeing user rates with reinforcement learning in 5G Radio access networks. In: Next-generation wireless networks meet advanced machine learning applications. Comsa, Ioan-Sorin and Trestian, Ramona, eds. IGI Global, pp. 163-198. ISBN 9781522574583. (doi:10.4018/978-1-5225-7458-3.ch008)

Comsa, Ioan-Sorin, Zhang, Sijing, Aydin, Mehmet Emin, Kuonen, Pierre, Trestian, Ramona and Ghinea, Gheorghita (2019) Machine learning in Radio resource scheduling. In: Next-generation wireless networks meet advanced machine learning applications. Comsa, Ioan-Sorin and Trestian, Ramona, eds. IGI Global, pp. 24-56. ISBN 9781522574583. (doi:10.4018/978-1-5225-7458-3.ch002)

Conference or Workshop Item

Comsa, Ioan-Sorin, Zhang, Sijing, Aydin, Mehmet, Kuonen, Pierre, Trestian, Ramona and Ghinea, Gheorghita (2019) Enhancing user fairness in OFDMA radio access networks through machine learning. 2019 Wireless Days (WD). In: Wireless Days (WD), 24-26 April, 2019, Manchester, UK. ISBN 9781728101170. ISSN 2156-972X (doi:10.1109/WD.2019.8734262)

This list was generated on Sat Dec 14 05:28:45 2019 GMT.