Mehdi Mirzaeinia

Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz et al.

Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV -Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is not considered in UAV placement. We propose a new feature to apply to K-means clustering to find the optimum clusters. User required traffic is defined as a new feature to assign users to the UAVs. Our simulation results show that UAVs could be placed closer to the high traffic users to achieve higher performance.

Amir Mirzaeinnia, Mehdi Mirzaeinia, Abdelmounaam Rezgui

Modern applications are highly sensitive to communication delays and throughput. This paper surveys major attempts on reducing latency and increasing the throughput. These methods are surveyed on different networks and surroundings such as wired networks, wireless networks, application layer transport control, Remote Direct Memory Access, and machine learning based transport control.