The Experts below are selected from a list of 7185 Experts worldwide ranked by ideXlab platform
Robert W Heath - One of the best experts on this subject based on the ideXlab platform.
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hover or perch comparing capacity of airborne and landed millimeter wave uav cells
IEEE Wireless Communications Letters, 2020Co-Authors: Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W HeathAbstract:On-demand Deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the performance of 5G+ networks. The battery lifetime of modern UAVs, though, limits the flight times in such systems. In this letter, we evaluate a feasible Deployment alternative for temporary capacity boosting in the areas with highly fluctuating user demands. The approach is to land UAV-based mmWave APs on the nearby buildings instead of hovering over the area. Within the developed mathematical framework, we compare the system-level performance of airborne and landed Deployments by taking into account the full operation cycle of the employed drones. Our numerical results demonstrate that the choice of the UAV Deployment Option is determined by an interplay of the separation distance between the service area and the UAV charging station, drone battery lifetime, and the number of aerial APs in use. The presented methodology and results can support efficient on-demand Deployments of UAV-based mmWave APs in prospective 5G+ networks.
Vitaly Petrov - One of the best experts on this subject based on the ideXlab platform.
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hover or perch comparing capacity of airborne and landed millimeter wave uav cells
IEEE Wireless Communications Letters, 2020Co-Authors: Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W HeathAbstract:On-demand Deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the performance of 5G+ networks. The battery lifetime of modern UAVs, though, limits the flight times in such systems. In this letter, we evaluate a feasible Deployment alternative for temporary capacity boosting in the areas with highly fluctuating user demands. The approach is to land UAV-based mmWave APs on the nearby buildings instead of hovering over the area. Within the developed mathematical framework, we compare the system-level performance of airborne and landed Deployments by taking into account the full operation cycle of the employed drones. Our numerical results demonstrate that the choice of the UAV Deployment Option is determined by an interplay of the separation distance between the service area and the UAV charging station, drone battery lifetime, and the number of aerial APs in use. The presented methodology and results can support efficient on-demand Deployments of UAV-based mmWave APs in prospective 5G+ networks.
Margarita Gapeyenko - One of the best experts on this subject based on the ideXlab platform.
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hover or perch comparing capacity of airborne and landed millimeter wave uav cells
IEEE Wireless Communications Letters, 2020Co-Authors: Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W HeathAbstract:On-demand Deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the performance of 5G+ networks. The battery lifetime of modern UAVs, though, limits the flight times in such systems. In this letter, we evaluate a feasible Deployment alternative for temporary capacity boosting in the areas with highly fluctuating user demands. The approach is to land UAV-based mmWave APs on the nearby buildings instead of hovering over the area. Within the developed mathematical framework, we compare the system-level performance of airborne and landed Deployments by taking into account the full operation cycle of the employed drones. Our numerical results demonstrate that the choice of the UAV Deployment Option is determined by an interplay of the separation distance between the service area and the UAV charging station, drone battery lifetime, and the number of aerial APs in use. The presented methodology and results can support efficient on-demand Deployments of UAV-based mmWave APs in prospective 5G+ networks.
Dmitri Moltchanov - One of the best experts on this subject based on the ideXlab platform.
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hover or perch comparing capacity of airborne and landed millimeter wave uav cells
IEEE Wireless Communications Letters, 2020Co-Authors: Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W HeathAbstract:On-demand Deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the performance of 5G+ networks. The battery lifetime of modern UAVs, though, limits the flight times in such systems. In this letter, we evaluate a feasible Deployment alternative for temporary capacity boosting in the areas with highly fluctuating user demands. The approach is to land UAV-based mmWave APs on the nearby buildings instead of hovering over the area. Within the developed mathematical framework, we compare the system-level performance of airborne and landed Deployments by taking into account the full operation cycle of the employed drones. Our numerical results demonstrate that the choice of the UAV Deployment Option is determined by an interplay of the separation distance between the service area and the UAV charging station, drone battery lifetime, and the number of aerial APs in use. The presented methodology and results can support efficient on-demand Deployments of UAV-based mmWave APs in prospective 5G+ networks.
Sergey Andreev - One of the best experts on this subject based on the ideXlab platform.
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hover or perch comparing capacity of airborne and landed millimeter wave uav cells
IEEE Wireless Communications Letters, 2020Co-Authors: Vitaly Petrov, Margarita Gapeyenko, Dmitri Moltchanov, Sergey Andreev, Robert W HeathAbstract:On-demand Deployments of millimeter-wave (mmWave) access points (APs) carried by unmanned aerial vehicles (UAVs) are considered today as a potential solution to enhance the performance of 5G+ networks. The battery lifetime of modern UAVs, though, limits the flight times in such systems. In this letter, we evaluate a feasible Deployment alternative for temporary capacity boosting in the areas with highly fluctuating user demands. The approach is to land UAV-based mmWave APs on the nearby buildings instead of hovering over the area. Within the developed mathematical framework, we compare the system-level performance of airborne and landed Deployments by taking into account the full operation cycle of the employed drones. Our numerical results demonstrate that the choice of the UAV Deployment Option is determined by an interplay of the separation distance between the service area and the UAV charging station, drone battery lifetime, and the number of aerial APs in use. The presented methodology and results can support efficient on-demand Deployments of UAV-based mmWave APs in prospective 5G+ networks.