This article addresses the problem of delay mitigation for video streaming applications in congested cellular macro-cells by using a mobile micro-cell mounted on an Unmanned Aerial Vehicle (UAV). Small-scale UAVs are at a mature stage of development and can carry lightweight commercial micro-cells with small form factor. The mobile micro-cell is used to offload users from a congested macro-cell to optimize the bandwidth usage of video streaming applications. The paper proposes algorithms and comprehensive design criteria for user offload selection (selecting what users need to be offloaded to the micro-cell) and drone positioning (selecting the position of the UAV that minimizes the network delay). The effectiveness of the proposed criteria is evaluated through extensive performance analysis. We show that the performance increases consistently in terms of bandwidth requests mitigation and average delay reduction under different system configurations.
Drone cellular networks: enhancing the quality of experience of video streaming applications / Ferranti, Ludovico; Cuomo, Francesca; Colonnese, Stefania; Melodia, Tommaso. - In: AD HOC NETWORKS. - ISSN 1570-8705. - ELETTRONICO. - 78:September 2018(2018), pp. 1-12. [10.1016/j.adhoc.2018.05.003]
Drone cellular networks: enhancing the quality of experience of video streaming applications
Ferranti, Ludovico;Cuomo, Francesca;Colonnese, Stefania;Melodia, Tommaso
2018
Abstract
This article addresses the problem of delay mitigation for video streaming applications in congested cellular macro-cells by using a mobile micro-cell mounted on an Unmanned Aerial Vehicle (UAV). Small-scale UAVs are at a mature stage of development and can carry lightweight commercial micro-cells with small form factor. The mobile micro-cell is used to offload users from a congested macro-cell to optimize the bandwidth usage of video streaming applications. The paper proposes algorithms and comprehensive design criteria for user offload selection (selecting what users need to be offloaded to the micro-cell) and drone positioning (selecting the position of the UAV that minimizes the network delay). The effectiveness of the proposed criteria is evaluated through extensive performance analysis. We show that the performance increases consistently in terms of bandwidth requests mitigation and average delay reduction under different system configurations.File | Dimensione | Formato | |
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