On-demand cellular coverage using drone-mounted base stations

IF 4.8 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc Networks Pub Date : 2025-08-09 DOI:10.1016/j.adhoc.2025.103988

Neeraj Naurange , Avirup Das , Dibakar Saha

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引用次数: 0

Abstract

This paper proposes a novel technique for on-demand cellular coverage in areas where traditional network infrastructure has been destroyed or is unavailable. Due to the unavailability of terrestrial communication networks, drone-mounted base stations (drone-BS) can be essential to establish temporary communications infrastructure by placing them at higher altitudes. Using such drone-BS to provide cellular coverage in disaster-stricken regions or regions where the network infrastructure is unavailable, we focus on the affected users and deploy drone-BSs accordingly based on the data rate requirements of the affected users. We propose an efficient algorithm that finds users in the affected region and determines the minimum number of drone-BSs required to provide coverage for all the identified users while satisfying their data-rate requirements. The algorithm is capable of restoring cellular coverage using backup drone-BSs and is also robust with respect to the real-time addition of new drone-BSs. The performance of our proposed algorithm demonstrates its potential and efficiency in determining the number of drone-BSs needed to provide cellular coverage to users based on the altitude and energy consumption of the drone-BS. In comparison with existing work, our proposed technique can reduce approximately 20% of the extra displacement of drone-BS during the user discovery process. Furthermore, it minimizes the number of drone-BSs required to cover all the affected users.

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使用无人机安装的基站进行按需蜂窝覆盖

本文提出了一种在传统网络基础设施被破坏或不可用的地区实现按需蜂窝覆盖的新技术。由于地面通信网络不可用，无人机安装的基站（无人机- bs）可以通过将其放置在更高的高度来建立临时通信基础设施。利用无人机- bs在受灾地区或网络基础设施不可用的地区提供蜂窝覆盖，我们针对受影响的用户，根据受影响用户的数据速率需求，相应地部署无人机- bs。我们提出了一种有效的算法，该算法可以找到受影响区域的用户，并确定为所有识别的用户提供覆盖所需的最小无人机bss数量，同时满足他们的数据速率要求。该算法能够使用备用无人机信号恢复蜂窝覆盖，并且对于实时添加新的无人机信号也具有鲁棒性。我们提出的算法的性能证明了它的潜力和效率，可以根据无人机基站的高度和能量消耗来确定为用户提供蜂窝覆盖所需的无人机基站数量。与现有工作相比，我们提出的技术可以在用户发现过程中减少大约20%的无人机- bs额外位移。此外，它最大限度地减少了覆盖所有受影响用户所需的无人机bss数量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.