基于MRR调度的认知LTE-R基站和服务类型值优先队列管理

doi:10.11959/j.issn.1000-0801.2018165

摘要/Abstract

摘要：

利用认知无线电技术在长期演进铁路（LTE-R）通信系统中构建认知无线网络，提出认知 LTE-R 基站网络架构和MRR调度算法，用以提高铁路专网频谱利用率。特别针对单一车载网关中认知LTE-R基站的先入先出队列策略造成次用户的实时业务的时延过大问题，提出基于服务类型值优先的认知LTE-R基站队列管理策略。该策略优先将服务类型值大的分组送出队列，从而达到优先服务实时业务的目的。仿真结果表明，在保障车地正常通信的前提下，构建的认知LTE-R基站能为旅客提供额外互联网接入链路，提高了长期演进铁路通信系统频谱的利用率。此外，基于服务类型值优先的队列管理策略可以有效地减少旅客实时业务的时延。

关键词: 长期演进铁路通信系统, 认知无线电网络, 认知LTE-R基站, 车载网关, 服务类型

Abstract:

Cognitive radio technology was used to build cognitive radio networks in long-term evolution railway communication systems,and cognitive base station network architecture and MRR scheduling algorithms were proposed to improve the spectrum utilization of railway dedicated networks.In particular,the FIFO policy for cognitive LTE-R base stations in a single vehicle gateway causes excessive delay in real-time services of secondary users,and a cognitive LTE-R base station queue management strategy based on priority of service types was proposed.This strategy gave priority to sending packets with large service type values to the queue,so as to achieve the purpose of prioritizing real-time services.Simulation results show that under the premise of ensuring the normal communication of vehicles,the constructed cognitive base station can provide passengers with additional internet access links,and at the same time,improve the spectrum utilization rate of the LTE-R communication system.In addition,the cognitive base station queue management strategy based on service type value priority can effectively reduce the delay of passenger real-time services.

Key words: LTE-R communication system, cognitive radio network, cognitive LTE-R eNode B, vehicle gateway,type of service

中图分类号:

TN929

邓宏宇,汪一鸣,吴澄. 基于MRR调度的认知LTE-R基站和服务类型值优先队列管理[J]. 电信科学, 2018, 34(6): 80-90.

Hongyu DENG,Yiming WANG,Cheng WU. MRR scheduling based cognitive LTE-R eNode B and type of service value priority queue management strategy[J]. Telecommunications Science, 2018, 34(6): 80-90.

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参数	取值
基站功率	46 dBm
带宽/资源块数量	5 MHz/25个
频段	700 MHz
基站覆盖半径	1.5 km
列车速度	30 m/s
调度算法	MRR
PU/SU数量	12/（10~100，每步增加10个）
仿真时间	100 s
流量模型	无限大buffer
	30% VoIP—G.729 语音流
	20% video—H.264 编码方式
	50% BE

需要被调度PU的数量n_PU(t)	0	1	2	3	4	5	6	7	8	9	10	11	12
RR调度算法频谱利用率	0	0.96%	0.96%	0.96%	0.96%	0.8%	0.96%	0.56%	0.64%	0.72%	0.8%	0.88%	0.96%
MRR调度算法频谱利用率	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%	0.96%