Rehenuma Tasnim Rodoshi - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks: A Comparative SurveyRehenuma Tasnim Rodoshi, Yujae Song, Wooyeol Choi 0002. access, 9:154578-154599, 2021. [doi]

A Survey on Applications of Deep Learning in Cloud Radio Access NetworkRehenuma Tasnim Rodoshi, Wooyeol Choi 0002. access, 9:61972-61997, 2021. [doi]

Fuzzy Logic and Accelerated Reinforcement Learning-Based User Association for Dense C-RANsRehenuma Tasnim Rodoshi, Taewoon Kim 0001, Wooyeol Choi 0002. access, 9:117910-117924, 2021. [doi]

2020

Resource Management in Cloud Radio Access Network: Conventional and New ApproachesRehenuma Tasnim Rodoshi, Taewoon Kim, Wooyeol Choi. sensors, 20(9):2708, 2020. [doi]

Deep Reinforcement Learning Based Dynamic Resource Allocation in Cloud Radio Access NetworksRehenuma Tasnim Rodoshi, Taewoon Kim, Wooyeol Choi 0002. ictc 2020: 618-623 [doi]

A Survey on Deep Learning for Cloud Radio Access NetworksRehenuma Tasnim Rodoshi, Seokjoo Shin, Wooyeol Choi 0002. sma2 2020: 4-9 [doi]

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