Traffic-aware UAV placement strategies for load balancing in 5G cellular hotspots

Abstract

In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability