Joint Position and Resource Optimization for Multi-UAV-Aided Relaying Systems
Joint Position and Resource Optimization for Multi-UAV-Aided Relaying Systems
复制标题
多无人机辅助中继系统的联合位置和资源优化
DOI：
10.1109/access.2020.2965162
复制
发表时间：
2020-01-01
期刊：
影响因子：
3.9
通讯作者：
Chen, Qinbo
中科院分区：
文献类型：
--
作者：
Chen, Qinbo
无人机（UAV）可以提高地面通信系统的整体性能，因为它们的视线（LoS）链路和按需部署的可能性很高。无人机位置优化的优点吸引了研究人员的注意力，研究静态无人机中继之间的合作。在本文中，我们研究了一种中继系统，其中多个无人机建立一个合作的无人机中继网络，以帮助一些发射机（Tx）与其相应的接收机（Rx）通信，采用正交频分多址（OFDMA）。我们最大化成对的Tx-Rxs &x2019;最小速率，通过解决一个非凸的，信息因果关系约束所涉及的问题，通过优化无人机中继&x2019;位置，节点&x2019;功率和带宽分配在一起。利用块坐标下降法和逐次凸逼近法提出了一种迭代算法。此外，我们还提出了一个新的位置初始化方法，讨论了我们的问题的一些特殊情况下，显示未来的工作的一些见解，并证明了我们的算法的收敛性。仿真结果表明，我们提出的算法的有效性，一些有趣的权衡优化无人机的位置，和可用资源的影响。
Unmanned aerial vehicles (UAVs) can enhance the overall performance of terrestrial communication systems due to their high possibility of the line of sight (LoS) links and on-demand deployments. The advantages of the UAV position optimization now attract attentions from researchers to study the cooperation among static UAV relays. In this paper, we study a relaying system, where multiple UAVs establish a cooperative UAV relay network to help some transmitters (Txs) communicate with their corresponding receivers (Rxs) by employing orthogonal frequency division multiple access (OFDMA). We maximize the paired Tx-Rxs & x2019; minimum rate through solving a non-convex, information causality constraints involved problem by optimizing the UAV relays & x2019; locations, nodes & x2019; powers, and bandwidth allocations together. An iterative algorithm is proposed by using block coordinate descent (BCD) and successive convex approximation (SCA) methods. Moreover, we also propose a new position initialization method, discuss some special cases of our problem to show some insights for future works, and prove the convergence of our algorithm. Simulations show the effectiveness of our proposed algorithm, some interesting trade-offs about the optimized UAVs & x2019; locations, and the influence of available resources.