Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3620
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dc.contributor.authorMahapatra, Byomakesh-
dc.contributor.authorVerma, Anuradha-
dc.contributor.authorGupta, Deepika-
dc.contributor.authorSharma, Pankaj K.-
dc.contributor.authorTuruk, Ashok Kumar-
dc.date.accessioned2022-01-28T12:05:18Z-
dc.date.available2022-01-28T12:05:18Z-
dc.date.issued2021-
dc.identifier.citation2nd International Conference on Advanced Communication Technologies and Signal Processing. (IEEE ACTS 2021), NIT Rourkela, Odisha, 15-17 December 2021en_US
dc.identifier.urihttp://hdl.handle.net/2080/3620-
dc.descriptionCopyright of this paper is with proceedings publisheren_US
dc.description.abstractIn 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 probabilityen_US
dc.subject5G Cellular Hotspotsen_US
dc.subjectLoad Balancingen_US
dc.subjecttraffic-aware proactive load balancing (TPLBA)en_US
dc.subjectUAVen_US
dc.titleTraffic-aware UAV placement strategies for load balancing in 5G cellular hotspotsen_US
dc.typeArticleen_US
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