摘要
利用Wireless Insite(WI)软件的功能开发了为典型的毫米波UDN场景建模。考虑精确的用户(UE)位置到沿用户轨迹的SNR值,同时考虑了定位仪器无法捕获的障碍物的影响。文章通过考虑在切换过程中关联的切换成本,提出了毫米波网络中的离线智能切换学习框架。最后,提出了最佳的基站(BS)选择策略,该策略可以通过离线DDRL算法最大化UE-BS的连接时间。该策略还考虑了瞬时接收的SNR和切换成本之间的折中,以减少由于频繁的短期LOS受障碍物阻塞而导致不必要的切换。
The capabilities of the Wireless Insite(WI)software is exploited to model a typical mm-wave UDN scenario.By mapping exact user location to SNR values along user trajectory—while considering the effect of obstacles that cannot be captured by localization devices.An offline intelligent HO learning framework is proposed in mm-wave networks by considering the HO cost(definition will be clear shortly)associated during the HO process.Finally,the optimal BS selection policy that maximizes UE-BS connection time from the offline DDRL algorithms is presented.The policy also considers the trade-off between instantaneous received SNR and HO cost to reduce unnecessary HOs due to the frequent short-term LOS blockage by obstacles.
作者
董春利
王莉
Dong Chunli;Wang Li(College of Electronic Information Engineering,Nanjing Vocational Technical Institute of Traffic,Nanjing 211188,China)
出处
《无线互联科技》
2021年第13期21-22,共2页
Wireless Internet Technology
基金
南京交通职业技术学院高层次人才科研基金项目
项目编号:440105001。
关键词
毫米波
超密集网络
切换
millimeter wave
ultra-dense network
handover