An Efficient Load-Balancing Scheme for UAVs in 5G Infrastructure
Deploying caches at the macro base station (MBS), unmanned aerial vehicle (UAV), and mobile user caches can effectively reduce the retransmission of duplicate content in the 5G cellular wireless hotspot network. As the storage capacity of MBS is much higher than UAVs and other hotspot cache nodes, t...
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Veröffentlicht in: | IEEE systems journal 2023-03, Vol.17 (1), p.780-791 |
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creator | Furqan, Muhammad Ali, Zakir Jan, Qasim Nazir, Shah Iqbal, Shahid Huang, Yongming |
description | Deploying caches at the macro base station (MBS), unmanned aerial vehicle (UAV), and mobile user caches can effectively reduce the retransmission of duplicate content in the 5G cellular wireless hotspot network. As the storage capacity of MBS is much higher than UAVs and other hotspot cache nodes, the MBS advertises its vacant storage space so that the participating nodes can rent it. In this article, we proposed an efficient load-balancing scheme by using the Stackelberg equilibrium game model. The proposed scheme sets a unit price (\xi) based on constraints to avoid data traffic uncertainty caused by participation nodes and rent vacant space of MBS. Furthermore, we proposed an efficient scheme for the placement and delivery of hotspot content by using Knapsack and Zipf. Moreover, ensuring the device-to-device link support also minimizes transportation costs. The results validate that considering the above-mentioned techniques significantly improves the overall hotspot network performance. |
doi_str_mv | 10.1109/JSYST.2022.3184838 |
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As the storage capacity of MBS is much higher than UAVs and other hotspot cache nodes, the MBS advertises its vacant storage space so that the participating nodes can rent it. In this article, we proposed an efficient load-balancing scheme by using the Stackelberg equilibrium game model. The proposed scheme sets a unit price (<inline-formula><tex-math notation="LaTeX">\xi</tex-math></inline-formula>) based on constraints to avoid data traffic uncertainty caused by participation nodes and rent vacant space of MBS. Furthermore, we proposed an efficient scheme for the placement and delivery of hotspot content by using Knapsack and Zipf. Moreover, ensuring the device-to-device link support also minimizes transportation costs. The results validate that considering the above-mentioned techniques significantly improves the overall hotspot network performance.</description><identifier>ISSN: 1932-8184</identifier><identifier>EISSN: 1937-9234</identifier><identifier>DOI: 10.1109/JSYST.2022.3184838</identifier><identifier>CODEN: ISJEB2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>5G mobile communication ; Autonomous aerial vehicles ; Cellular communication ; Costs ; Device-to-device communication ; Game theory ; in-network caching ; Internet of Things (IoT) ; Load balancing ; Markov processes ; Nodes ; Peer-to-peer computing ; Radio equipment ; resource allocation ; Resource management ; Storage capacity ; unmanned aerial vehicle (UAV) ; Unmanned aerial vehicles</subject><ispartof>IEEE systems journal, 2023-03, Vol.17 (1), p.780-791</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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subjects | 5G mobile communication Autonomous aerial vehicles Cellular communication Costs Device-to-device communication Game theory in-network caching Internet of Things (IoT) Load balancing Markov processes Nodes Peer-to-peer computing Radio equipment resource allocation Resource management Storage capacity unmanned aerial vehicle (UAV) Unmanned aerial vehicles |
title | An Efficient Load-Balancing Scheme for UAVs in 5G Infrastructure |
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