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Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks
IEEE NETWORK ( IF 9.3 ) Pub Date : 2019-09-16 , DOI: 10.1109/mnet.001.1900231 Yabo Li , Haijun Zhang , Keping Long , Sunghyun Choi , Arumugam Nallanathan
IEEE NETWORK ( IF 9.3 ) Pub Date : 2019-09-16 , DOI: 10.1109/mnet.001.1900231 Yabo Li , Haijun Zhang , Keping Long , Sunghyun Choi , Arumugam Nallanathan
Due to their advantages in rapid deployment and miniaturization, UAVs have been widely used in various fields, especially for disaster scenarios which require emergency communications. This article considers a fog UAV wireless network and focuses on improving energy efficiency through subchannel assignment and power allocation. Specifically, in order to make better use of limited spectrum resources, this article considers integrating NOMA which is widely recognized as an emerging transmission technology into UAV wireless networks. On the basis of the proposed UAV network architecture, a two-sided matching and swapping algorithm is proposed to optimize subchannel assignment. We provide a power allocation method to maximize energy efficiency. Simulation results show that the proposed UAV system architecture, as well as the resource allocation method, can prominently improve the energy efficiency of fog UAV wireless networks.
中文翻译:
在基于NOMA的雾UAV无线网络中优化能源效率的资源分配
由于其在快速部署和小型化方面的优势,无人机已广泛用于各个领域,尤其是在需要紧急通信的灾难情况下。本文考虑的是雾UAV无线网络,重点在于通过子信道分配和功率分配提高能效。具体来说,为了更好地利用有限的频谱资源,本文考虑将被广泛认为是新兴传输技术的NOMA集成到UAV无线网络中。在所提出的无人机网络架构的基础上,提出了一种双向匹配和交换算法来优化子信道分配。我们提供一种功率分配方法,以最大程度地提高能源效率。仿真结果表明,所提出的无人机系统体系结构以及资源分配方法,
更新日期:2020-04-22
中文翻译:
在基于NOMA的雾UAV无线网络中优化能源效率的资源分配
由于其在快速部署和小型化方面的优势,无人机已广泛用于各个领域,尤其是在需要紧急通信的灾难情况下。本文考虑的是雾UAV无线网络,重点在于通过子信道分配和功率分配提高能效。具体来说,为了更好地利用有限的频谱资源,本文考虑将被广泛认为是新兴传输技术的NOMA集成到UAV无线网络中。在所提出的无人机网络架构的基础上,提出了一种双向匹配和交换算法来优化子信道分配。我们提供一种功率分配方法,以最大程度地提高能源效率。仿真结果表明,所提出的无人机系统体系结构以及资源分配方法,