Power Allocation with Buffer Constraint for Distributed Antenna System in High-Speed Railway Scenarios

被引:0
作者
Yu, Mi [1 ]
Wang, Xiaoming [1 ]
Xu, Youyun [1 ]
Li, Dapeng [1 ,2 ]
Chen, Jianping [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Natl Engn Res Ctr Commun & Networking, Nanjing 210003, Jiangsu, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[3] Nanjing Ticom Tech Co Ltd, Nanjing 210039, Jiangsu, Peoples R China
来源
2019 28TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC) | 2019年
基金
中国国家自然科学基金;
关键词
Power allocation; buffer size; distributed antenna system; high-speed railway;
D O I
10.1109/wocc.2019.8770668
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
To meet the increasing demands of high data rate service in high-speed railway (HSR) scenarios, the two hop architecture with distributed antenna system (DAS) is a good choice. In this architecture, the transmit and receive sides of HSR system are both equipped with distributed antennas, then base stations (BSs) communicate with users via mobile relays (MRs) on the top of train. Thus, the data will be buffered when the wireless transmission rate can not satisfy the requirement of data arrival rate. In this paper, we focus on the efficient power allocation method with buffer and delay constraint on the basis of predicted path loss characteristic in downlink HSR communications. Firstly, the relationship between the data arrival rate and instantaneous wireless transmission rate is analyzed where BSs transmit with constant power. Secondly, the transmit power optimization problem with the requirement of buffer size and delay is formulated. The optimal power allocation scheme can be obtained through Lagrangian dual method. Simulation results demonstrate that the proposed power allocation scheme can achieve a lower consumed power and avoid data overflow and infinite delay as well.
引用
收藏
页码:261 / 265
页数:5
相关论文
共 19 条
[1]  
Abubaker AA, 2017, EXAMINING INFORMATION RETRIEVAL AND IMAGE PROCESSING PARADIGMS IN MULTIDISCIPLINARY CONTEXTS, P109, DOI 10.4018/978-1-5225-1884-6.ch006
[2]   High-Speed Railway Wireless Communications: Efficiency Versus Fairness [J].
Dong, Yunquan ;
Fan, Pingyi ;
Ben Letaief, Khaled .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (02) :925-930
[3]  
Hao W, 2018, IEEE INTERNET THINGS
[4]   High-Speed Railway Communications: From GSM-R to LTE-R [J].
He, Ruisi ;
Ai, Bo ;
Wang, Gongpu ;
Guan, Ke ;
Zhong, Zhangdui ;
Molisch, Andreas F. ;
Briso-Rodriguez, Cesar ;
Oestges, Claude .
IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2016, 11 (03) :49-58
[5]  
Kumar A, 2013, 2013 INTERNATIONAL CONFERENCE ON GREEN COMPUTING, COMMUNICATION AND CONSERVATION OF ENERGY (ICGCE), P49, DOI 10.1109/ICGCE.2013.6823398
[6]  
Kumar R., 2007, REPRODUCTION
[7]   Service-Oriented Power Allocation for High-Speed Railway Wireless Communications [J].
Li, Tao ;
Xiong, Ke ;
Fan, Pingyi ;
Ben Letaief, Khaled .
IEEE ACCESS, 2017, 5 :8343-8356
[8]   An Effective Handover Scheme Based on Antenna Selection in Ground-Train Distributed Antenna Systems [J].
Liu, Ziyue ;
Fan, Pingzhi .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (07) :3342-3350
[9]  
Lu J, 2014, P IEEE HMWC, P103
[10]  
Lu J, 2016, P IEEE EN CONV C EXP, P1, DOI DOI 10.1109/RADECS.2016.8093147