【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks

文章目录

      • 文章名
      • 文章贡献
      • 架构
      • 算法
      • 其他因素
      • 挑战、可提升的地方

文章名

Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks
链接
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缩写速查
cloud radio access networks (CRANs)
fog radio access networks (FRANs)
collaboration radio signal processing (CRSP)
cooperative radio resource management (CRRM)

文章贡献

  • In this article, we study resource allocation in a fog UAV wireless network, where the UAV serves as a temporary mobile base station(BS) to achieve movement of the wireless network coverage area and the fog can bring gain in data rate or network traffic.
  • Fog computing aims to reduce response time through processing units located in the edge of the network
  • We propose a novel UAV system architecture where FRAN and NOMA coexist. In the presented UAV wireless networks, this article considers a NOMA-based UAV to relieve limited spectrum resources, and introduces fog-based caching technology to release link and traffic burden. Accordingly, these together form a network with high energy efficiency.*

架构

【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第1张图片

  • Multiple adjacent UAVs can interact to form various kinds of topologies
  • UAVs are connected to the BBU pool which processes the signal transmitted by fronthaul links which can use millimeter wave technology, while backhaul links are used to connect the macro BS and BBU pool.
  • content with high popularity is stored at the edge of the network preferentially and users do not need to obtain it from traditional remote data centers.a caching strategy such as first-in and first-out can be very beneficial in improving overall network capacity

算法

【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第2张图片

  • NOMA technology based UAV Wireless Networks
    考虑4个用户uplink的情况,信道质量好的可以消除信道质量不好的用户对自己的影响。(其实就是SIC解调,不明白可以查阅NOMA)
  • subchannel Assignment in UAV Wireless networks
    The assignment of subchannel can be considered a two-sided matching procedure according to the preference lists of both subchannels and users

【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第3张图片
swapping algorithm交换算法
The purpose of this swapping is for better gains, so the energy efficiency of all participating players cannot be reduced after each successful swapping.
【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第4张图片
In the swapping process, matched users search users on the other subchannels to form a swap-blocking pair if they can meet the above conditions as shown in Fig. 3
【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第5张图片

其他因素

As society’ s attention to energy increases, the total energy efficiency is a problem that needs to be considered.
we mainly pay attention to maximizing the total energy efficiency considering the limited transmitted power in this section.

  • UAV placement
    【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第6张图片
  • Caching Model
    【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第7张图片
  • Energy Efficiency
    在这里插入图片描述

挑战、可提升的地方

【NOMA】Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks_第8张图片

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