论文标题
簇头驱动的无人机继电器与递归最小距离使用crans
Cluster-Head-Driven UAV Relaying with Recursive Maximum Minimum Distance using CRANs
论文作者
论文摘要
在这封信中，针对多人无人机的C-RAN型集群驱动的上行链路型型号（UAV）中继方案，该方案可在无人机集群头中进行联合最大最大可能性（ML）符号检测，并且UAV源可以选择基于UAV基于无人机的相关源，均可及其基于UAV的相关性。在这种情况下，}一种继电器选择技术，称为集群驱动的最佳链接（CHD-best-link），该技术采用群集头缓冲区和物理层网络编码，{设计}。然后，开发了一个递归最大最小距离继电器选择策略，该策略开发了与时间相关的通道并为CHD-最佳链路方案开发。模拟表明，CHD-最佳链路的平均延迟和位错误率性能高于先前方案。
In this letter, a C-RAN-type cluster-head-driven uplink model for multiple-antenna Unmanned Aerial Vehicles (UAV) relaying schemes, which enables joint Maximum Likelihood (ML) symbol detection in the UAV cluster-head and the selection of UAV sources to communicate with each other aided by UAV-based relays, {is presented. In this context,} a relay selection technique, named Cluster-Head-Driven Best-Link (CHD-Best-Link), that employs cluster-head buffers and physical-layer network coding, {is devised}. Then, a recursive maximum minimum distance relay selection strategy that exploits time-correlated channels and equips the CHD-Best-Link scheme is developed. Simulations illustrate that CHD-Best-Link has superior average delay and bit error rate performances to that of previous schemes.
