• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Wireless Communications and Networking Conference Workshops >Sum Rate Maximization for Multi-UAV Enabled Space-Air-Ground Wireless Powered Communication Networks
【24h】

Sum Rate Maximization for Multi-UAV Enabled Space-Air-Ground Wireless Powered Communication Networks

机译：用于多UAV的空间空中地无线通信网络的总和速率最大化

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Internet of remote things (IoRT) as a platform to support data connections in remote areas has an urgent need for high-throughput and sustainable communications. In this paper, we investigate a multi-unmanned aerial vehicle (UAV) enabled space-air-ground wireless powered communication network (SAG-WPCN) where UAVs are dispatched as decode-and-forward (DF) relays to assist the communication from the ground nodes (GNs) to the satellite, and equipped with wireless power transfer payload providing ubiquitous wireless energy for GNs. This paper aims to maximize the system sum rate by jointly optimizing the time slot division, subchannel allocation, power control and UAV relays deployment. However, the optimization problem is a non-convex problem which is difficult to be solved directly. Therefore, we apply the alternating optimization method and successive convex approximation (SCA) technique to transform the non-convex problem into a tractable form. Subsequently, a near optimal multi-variable alternating iterative algorithm is proposed to obtain a resource allocation scheme of the overall problem. It is revealed that the proposed algorithm significantly improves the performance in terms of the system sum rate compared with other benchmark schemes.
机译：遥控器互联网（IORT）作为支持偏远地区数据连接的平台，迫切需要高吞吐量和可持续的通信。在本文中，我们调查了一种多人空中车辆（UAV）的空间 - 空中地无线通信网络（SAG-WPCN），其中UAV被调度为解码和前进（DF）继电器，以协助通信地面节点（GNS）到卫星，并配备了无线电力传输有效载荷，为GNS提供无处不在的无线能量。本文旨在通过联合优化时隙分割，子信道分配，功率控制和UAV继电器部署来最大限度地提高系统和速率。然而，优化问题是难以直接解决的非凸面问题。因此，我们应用交替的优化方法和连续的凸近似（SCA）技术，以将非凸面问题转换为易诊形式。随后，提出了近最佳多变量交替迭代算法以获得整体问题的资源分配方案。据揭示，与其他基准方案相比，该算法在系统和速率方面显着提高了性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号