摘要
在路侧基础设施密集部署的车联网场景中,针对车载终端时延受限内容的下载需求,提出了一种调度算法.该算法基于李雅普诺夫优化方法,利用分组的等待时延建立李雅普诺夫方程,通过传输和丢包决策可以保证用户的时延需求,并保证系统稳定.仿真结果表明,相比于最早过期优先算法,提出的方法在满足用户时延需求的同时,进一步提升了系统的吞吐量.
A scheduling algorithm for the latency-constrained content dissemination in vehicular networks with dense deployment of Roadside Units was proposed based on Lyapunov optimization, which uses the explicit delay information from the head-of-line packet at each vehicle to stabilize the network. By proper scheduling and dropping packet, the network throughput is maximized while ensuring the delay require- ment. Simulations show that the proposed algorithm can guarantee the demand of delay and improve the system throughput compared with the earliest expiration priority algorithm.
作者
侯蓉晖
郭素霞
HOU Rong-hui GUO Su-xia(Institute of Communication Engineering, Xidian University, Xi' an 710071, China)
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2017年第3期85-90,共6页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金面上项目(61571351)
陕西省自然科学基础研究计划项目(2016JM6028)
国家科技重大专项项目(2015ZX03002006-003)
关键词
时延受限
调度
车联网
李雅普诺夫优化方法
latency-constrained
scheduling
vehicular network
Lyapunov optimization