Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3620
Title: | Traffic-aware UAV placement strategies for load balancing in 5G cellular hotspots |
Authors: | Mahapatra, Byomakesh Verma, Anuradha Gupta, Deepika Sharma, Pankaj K. Turuk, Ashok Kumar |
Keywords: | 5G Cellular Hotspots Load Balancing traffic-aware proactive load balancing (TPLBA) UAV |
Issue Date: | 2021 |
Citation: | 2nd International Conference on Advanced Communication Technologies and Signal Processing. (IEEE ACTS 2021), NIT Rourkela, Odisha, 15-17 December 2021 |
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 |
Description: | Copyright of this paper is with proceedings publisher |
URI: | http://hdl.handle.net/2080/3620 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2021_IEEE-ACTS _BMahapatra_Traffic-Aware.pdf | 388.88 kB | Adobe PDF | View/Open |
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