%0 Journal Article %T A Fast Machine Learning for 5G Beam Selection for Unmanned Aerial Vehicle Applications %J Journal of Information Systems and Telecommunication (JIST) %I Iranian Academic Center for Education,Culture and Research %Z 2322-1437 %A Wasswa Shafik %A Mohammad Ghasemzadeh %A S.Mojtaba Matinkhah %D 2020 %\ 2020/06/06 %V 28 %N 7 %P 262-277 %! A Fast Machine Learning for 5G Beam Selection for Unmanned Aerial Vehicle Applications %K Unmanned Ariel Vehicle %K %K Multi-Armed Bandit %K %K Reinforcement Learning Algorithms %K %K Beam selection %K %R 10.7508/jist.2019.04.003 %X Unmanned Aerial vehicles (UAVs) emerged into a promising research trend applied in several disciplines based on the benefits, including efficient communication, on-time search, and rescue operations, appreciate customer deliveries among more. The current technologies are using fixed base stations (BS) to operate onsite and off-site in the fixed position with its associated problems like poor connectivity. These open gates for the UAVs technology to be used as a mobile alternative to increase accessibility in beam selection with a fifth-generation (5G) connectivity that focuses on increased availability and connectivity. This paper presents a first fast semi-online 3-Dimensional machine learning algorithm suitable for proper beam selection as is emitted from UAVs. Secondly, it presents a detailed step by step approach that is involved in the multi-armed bandit approach in solving UAV solving selection exploration to exploitation dilemmas. The obtained results depicted that a multi-armed bandit problem approach can be applied in optimizing the performance of any mobile networked devices issue based on bandit samples like Thompson sampling, Bayesian algorithm, and ε-Greedy Algorithm. The results further illustrated that the 3-Dimensional algorithm optimizes utilization of technological resources compared to the existing single and the 2-Dimensional algorithms thus close optimal performance on the average period through machine learning of realistic UAV communication situations. %U http://rimag.ir/fa/Article/15432