Delay-Aware Dynamic Resource Allocation in High-Speed Railway Networks

被引：0

作者：

Lei, Yan ^{[1
,2
]}

Zhu, Gang ^{[1
]}

Shen, Chao ^{[1
,2
]}

Chen, Xia ^{[1
]}

Xu, Jingjing ^{[1
]}

Xu, Yanqing ^{[1
]}

Zhang, Xiaozhou ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China

[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Peoples R China

来源：

2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2016年

关键词：

High-speed railway; effective capacity; stochastic approximation; SYSTEMS; MODEL; OFDM;

D O I：

10.1109/VTCSpring.2016.7504186

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the rapid development of high-speed railway (HSR) system, there is an increasing demand on providing high quality multimedia services for HSR passengers. In this paper, we investigate the downlink resource allocation problem for multimedia services delivery in HSR orthogonal frequency division multiple access (OFDMA) system. Taking the statistical delay-QoS requirements into account, we formulate the problem as a mixed integer non-linear programming (MINLP), which aims at maximizing the system throughput over a trip of the train. With the help of integer constraint relaxation, this problem can be simplified into a convex optimization problem. To solve it, a stochastic approximation based dynamic resource allocation algorithm is developed. Finally, the numerical results are presented to show the effectiveness of the proposed resource allocation algorithm.

引用

页数：5

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