BandBlock: Bandwidth allocation in blockchain‐empowered UAV‐based heterogeneous networks
The 5G mobile network is promising to handle the dynamic traffic demands of user equipment (UE). Unmanned aerial vehicles (UAVs) equipped with wireless transceivers can act as flying base stations in heterogeneous networks to ensure the quality of service of UE. However, it is challenging to efficie...
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| Veröffentlicht in: | ETRI journal Jg. 44; H. 6; S. 945 - 954 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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한국전자통신연구원
01.12.2022
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| Abstract | The 5G mobile network is promising to handle the dynamic traffic demands of user equipment (UE). Unmanned aerial vehicles (UAVs) equipped with wireless transceivers can act as flying base stations in heterogeneous networks to ensure the quality of service of UE. However, it is challenging to efficiently allocate limited bandwidth to UE due to dynamic traffic demands and low network coverage. In this study, a blockchain‐enabled bandwidth allocation framework is proposed for secure bandwidth trading. Furthermore, the proposed framework is based on the Cournot oligopoly game theoretical model to provide the optimal solution; that is, bandwidth is allocated to different UE based on the available bandwidth at UAV‐assisted‐based stations (UBSs) with optimal profit. The Cournot oligopoly game is performed between UBSs and cellular base stations (CBSs). Utility functions for both UBSs and CBSs are introduced on the basis of the available bandwidth, total demand of CSBs, and cost of providing cellular services. The proposed framework prevents security attacks and maximizes the utility functions of UBSs and CBSs. |
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| AbstractList | The 5G mobile network is promising to handle the dynamic traffic demands of user equipment (UE). Unmanned aerial vehicles (UAVs) equipped with wireless transceivers can act as flying base stations in heterogeneous networks to ensure the quality of service of UE. However, it is challenging to efficiently allocate limited bandwidth to UE due to dynamic traffic demands and low network coverage. In this study, a blockchain‐enabled bandwidth allocation framework is proposed for secure bandwidth trading. Furthermore, the proposed framework is based on the Cournot oligopoly game theoretical model to provide the optimal solution; that is, bandwidth is allocated to different UE based on the available bandwidth at UAV‐assisted‐based stations (UBSs) with optimal profit. The Cournot oligopoly game is performed between UBSs and cellular base stations (CBSs). Utility functions for both UBSs and CBSs are introduced on the basis of the available bandwidth, total demand of CSBs, and cost of providing cellular services. The proposed framework prevents security attacks and maximizes the utility functions of UBSs and CBSs. The 5G mobile network is promising to handle the dynamic traffic demands of user equipment (UE). Unmanned aerial vehicles (UAVs) equipped with wireless transceivers can act as flying base stations in heterogeneous networks to ensure the quality of service of UE. However, it is challenging to efficiently allocate limited bandwidth to UE due to dynamic traffic demands and low network coverage. In this study, a blockchain-enabled bandwidth allocation framework is proposed for secure bandwidth trading. Furthermore, the proposed framework is based on the Cournot oligopoly game theoretical model to provide the optimal solution; that is, bandwidth is allocated to different UE based on the available bandwidth at UAV-assisted-based stations (UBSs) with optimal profit. The Cournot oligopoly game is performed between UBSs and cellular base stations (CBSs). Utility functions for both UBSs and CBSs are introduced on the basis of the available bandwidth, total demand of CSBs, and cost of providing cellular services. The proposed framework prevents security attacks and maximizes the utility functions of UBSs and CBSs. KCI Citation Count: 3 |
| Author | Venkateswarararao, Kuna Kumar, Pratik Solanki, Akash Swain, Pravati |
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| Cites_doi | 10.1109/MNET.2019.1800418 10.1109/WCNCW.2015.7122576 10.23919/APNOMS.2019.8892933 10.1016/j.jnca.2021.103074 10.4218/etrij.10.1409.0032 10.1016/j.adhoc.2020.102324 10.4218/etrij.2020-0210 10.1109/VTCFall.2018.8690860 10.1109/GLOBECOM38437.2019.9014076 10.1016/j.vehcom.2020.100249 10.1109/ICC42927.2021.9500927 10.1109/JIOT.2018.2882532 10.1109/INFOCOMWKSHPS50562.2020.9162991 10.3390/electronics10172171 10.1109/TWC.2017.2688328 10.1109/JIOT.2021.3113366 10.1002/9781119790839.ch2 10.1109/TWC.2018.2879940 10.1109/IVS.2018.8500557 10.1109/TNSE.2019.2897483 10.1002/ett.4464 10.1007/978-3-030-24907-6_32 10.1109/COMST.2021.3124512 10.1109/OJCOMS.2021.3057679 10.4218/etrij.15.2415.0022 10.1109/GLOCOM.2017.8254643 10.1109/COMST.2019.2906228 10.1109/MNET.2017.1600280 10.1016/j.eswa.2020.113385 10.1049/cmu2.12113 10.4218/etrij.2020-0156 10.1109/ICC.2018.8422513 |
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| Title | BandBlock: Bandwidth allocation in blockchain‐empowered UAV‐based heterogeneous networks |
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