Bidirectional Multi-tier Cognitive Swarm Drone 5G Network

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2020-07-01 DOI:10.1109/INFOCOMWKSHPS50562.2020.9162676

Sunil Jacob, Varun G. Menon, Shynu Gopalan Padinjappurathu, KS FathimaShemim, B. Mahapatra, Saira Joseph

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引用次数: 14

Abstract

The use of unmanned aerial vehicle (UAV) as a dynamic node in point to point communication of 5G and beyond 5G cellular networks is an emerging technology. It provides a reliable and efficient mode of wireless communication network in the sky. Existing architectures include single tier and multi-tier drone architecture. Major challenges in multi-tier architecture is in establishing an air traffic control system and in efficient resource sharing between the drones. To overcome the challenges associated with the multitier drone and cellular drone networks, a bidirectional multitier cognitive swarm drone network (BMCSDN) is proposed and investigated in terms of spectrum efficiency and allocation of optimized altitude and power for down link transmission. The proposed method uses the cognitive swarm drone (CSD) concept and provides enhancement of capacity and coverage with optimized transmission efficiency. The work also analyses the effect of interference when all CSDs transmit and receive with static and dynamic frequency allocations.

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双向多层认知蜂群无人机5G网络

利用无人机(UAV)作为5G及5G以上蜂窝网络点对点通信的动态节点是一项新兴技术。它提供了一种可靠、高效的空中无线通信网络模式。现有架构包括单层和多层无人机架构。多层架构的主要挑战是建立空中交通管制系统和无人机之间的有效资源共享。为了克服多层无人机和蜂窝无人机网络的相关挑战，提出了一种双向多层认知蜂群无人机网络(BMCSDN)，并从频谱效率和优化高度和功率分配的角度进行了研究。该方法采用认知蜂群无人机(CSD)的概念，在优化传输效率的同时增强容量和覆盖范围。本文还分析了所有csd以静态和动态频率分配发射和接收时的干扰影响。

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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IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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