The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-determinist...The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-deterministic polynomial hard(NP-hard)multi-objective optimization problem,instead of generating a Pareto solution,this work focuses on considering both objectives at the same level so as to achieve a balanced solution between them.Based on the property that agents connected to the same UAV are a cluster,two clustering-based algorithms,M-K-means(MKM)and modified fast search and find density of peaks(MFSFDP)methods,are first proposed.Since the former algorithm requires too much computational time and the latter one requires too many relays,an algorithm for the balanced network performance and relay number(BPN)is proposed by discretizing the area to avoid missing the optimal relay positions and defining a new local density function to reflect the network performance metric.Simulation results demonstrate that the proposed algorithms are feasible and effective.Comparisons between these algorithms show that the BPN algorithm uses fewer relay UAVs than the MFSFDP and classic set-covering based algorithm,and its computational time is far less than the MKM algorithm.展开更多
针对国内地铁的车-地无线通信技术,将LTE(long term evolution,长期演进)与WLAN(wireless local area networks,无线局域网)技术进行对比,提出一套LTE组网方案。针对该方案,分析下行链路预算,对LTE基站的覆盖能力进行评估,认为引入LTE后...针对国内地铁的车-地无线通信技术,将LTE(long term evolution,长期演进)与WLAN(wireless local area networks,无线局域网)技术进行对比,提出一套LTE组网方案。针对该方案,分析下行链路预算,对LTE基站的覆盖能力进行评估,认为引入LTE后,地铁中覆盖了多频段的无线通信系统;由于系统间频率相近,无线信号之间容易形成干扰。从干扰形成的角度分析干扰的成因,定量计算系统间的隔离度,从技术和工程建设角度给出减少干扰的措施。展开更多
基金the National Natural Science Foundation of China(61573285)。
文摘The network performance and the unmanned aerial vehicle(UAV)number are important objectives when UAVs are placed as communication relays to enhance the multi-agent information exchange.The problem is a non-deterministic polynomial hard(NP-hard)multi-objective optimization problem,instead of generating a Pareto solution,this work focuses on considering both objectives at the same level so as to achieve a balanced solution between them.Based on the property that agents connected to the same UAV are a cluster,two clustering-based algorithms,M-K-means(MKM)and modified fast search and find density of peaks(MFSFDP)methods,are first proposed.Since the former algorithm requires too much computational time and the latter one requires too many relays,an algorithm for the balanced network performance and relay number(BPN)is proposed by discretizing the area to avoid missing the optimal relay positions and defining a new local density function to reflect the network performance metric.Simulation results demonstrate that the proposed algorithms are feasible and effective.Comparisons between these algorithms show that the BPN algorithm uses fewer relay UAVs than the MFSFDP and classic set-covering based algorithm,and its computational time is far less than the MKM algorithm.
文摘针对国内地铁的车-地无线通信技术,将LTE(long term evolution,长期演进)与WLAN(wireless local area networks,无线局域网)技术进行对比,提出一套LTE组网方案。针对该方案,分析下行链路预算,对LTE基站的覆盖能力进行评估,认为引入LTE后,地铁中覆盖了多频段的无线通信系统;由于系统间频率相近,无线信号之间容易形成干扰。从干扰形成的角度分析干扰的成因,定量计算系统间的隔离度,从技术和工程建设角度给出减少干扰的措施。
