wireless networks
ABSTRACT This paper provides a study scenario of mobility control for the unmanned aerial vehicles that mount base stations, which are called UAVBSs. Mobility control of UAVBSs is considered a solution to serious problems such as interference and physical collisions between these UAVBSs. Thus, we formulated the problem of UAVBSs mobility control as an exact potential game, and we proposed three algorithms in this work to find the solution for that problem.
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The increasing complexity of cellular networks has resulted in dynamic network performance optimization (NPO) playing a critical role in streamlining network operations. While the success of NPO techniques primarily depends upon the quality and quantity of telemetry data available from the underlying network, up until now, third-party access to such data has been largely limited due to the prevalence of proprietary interfaces throughout the access network. However, the upcoming open radio access network (RAN) architecture is set to change this trend.
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This dataset is a collection of phase samples retrieved from an in-house design for a Bluetooth Low Energy (BLE) 5.1 based receiver, using an 8-element Uniform Circular Array (UCA). The purpose of the dataset was the implementation of localization techniques based on the use of Angle-of-Arrival data, possible due to the BLE 5.1 Direction Finding (DF) features. Specifically, the phase differences of a Constant Tone Extension (CTE) read from the different antenna elements can be used to retrieve the AoA of a received packet.
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