基于多终端协同的高清视频多流并发自适应传输控制方法

doi:10.11959/j.issn.1000-0801.2015244

摘要/Abstract

摘要：

摘要：针对高清视频在异构无线网络中以多流并发的方式进行传输，以提高传输速率，从而增强用户体验的问题，以最小化系统传输时延以及各路径间时延差为优化目标，联合考虑了视频发送端和接收端，自适应调整视频发送速率和接收端缓存大小以提高用户体验，建立了异构无线网络中视频多流并发传输的控制模型，并基于Pareto分布和P/P/1排队理论对具有自相似性和长相关性的视频流进行了研究，推导了并发传输系统的时延统计特性，并在此基础上提出了一种异构无线网络视频流自适应分流决策方法。仿真结果表明，与一般的负载均衡分流决策方法相比，提出的异构网络多流并发自适应传输控制方法在时延和分组丢失率方面都有一定的优越性。

关键词: 异构无线网络, 流量分配, 自相似流, Pareto分布, 传输时延

Abstract:

For the purpose of solving the problem of controlling video traffic concurrent transmission in heterogeneous wireless networks to improve quality of experience （QoE）, a video traffic concurrent transmission control model in heterogeneous wireless networks was built, which aimed at the minimization of the system transmission delay and the jitters. Then to solve the optimization problem, an explicit adaptive traffic allocation scheme was proposed. In order to closely simulate the network traffic, the video traffic with self-similarity and long-range dependence was modeled by using Pareto distribution and P/P/1 queue theory to obtain the delay of concurrent transmission system. At the same time, this model jointly considered the sender and receiver for adaptive adjusting buffer size and send rate in order to improve the user's experience. Simulation results show that, compared with commonly used traffic allocation scheme for load balancing, the proposed scheme has some advantages in aspects of delay and packet loss rate.

Key words: heterogeneous wireless network, traffic allocation, self-similar traffic, Pareto distribution, transmission delay

罗小琴,朱晓荣. 基于多终端协同的高清视频多流并发自适应传输控制方法[J]. 电信科学, 2015, 31(9): 35-43.

Xiaoqin Luo,Xiaorong Zhu. An Adaptive Concurrent Control Method for High Definition Video Transmission Based on Multi-Terminal Cooperation[J]. Telecommunications Science, 2015, 31(9): 35-43.

图/表 6

图1

表1

图2

图3

图4

图5

参考文献 16

1	De Cicco L , Mascolo S . An adaptive video streaming control system: modeling, validation, and performance evaluation. IEEE/ACM Transactions on Networking, 2014,22（2）:526～539
2	Zanforlin M , Munaretto D , Zanella A , et al. SSIM-based video admission control and resource allocation algorithms. Proceedings of 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Hammamet, Tunisia, 2014: 656～661
3	Sun L , Tian H , Sun Q Y , et al. Traffic allocation scheme with cooperation of WWAN and WPAN. IEEE Communications Letters, 2010,14（6）:551～553
4	Singhai R , Joshi S D , Bhatt R . A novel discrete distribution and process to model self-similar traffic. Proceedings of the 9th International Conference on Telecommunications, Zagreb, Croatia, 2007: 167～172
5	Fisher M J , Gross D , Masi D , et al. Analyzing the waiting time process in internet queuing systems with the transform approximation method. The Telecommunication Review, 2001:21～32
6	Bhandari B N , Raja Kumar R V , Maskara S L . Performance of IEEE 802.16 MAC layer protocol under conditions of self-similar traffic. Proceedings of IEEE Region 10 Conference TENCON 2008, Hong Kong, China, 2008:1～4
7	Ghani S , Iradat F . Loss probability in networks with pareto distributed traffic. Proceedings of IEEE 2011 Second International Conference on Intelligent Systems, Modeling and Simulation（ISMS）, Kuala Lumpur, Malaysia, 2011: 355～360
8	陈志刚，曾峰，李庆华．无线 mesh 网中时延约束抖动优化的多路径流量分配算法．通信学报， 2011,32（1）:1～8 Chen Z G , Zeng F , Li Q H . Delay-constrained and jitter-optimized traffic allocation for multipath routing in wireless mesh networks. Journal of Communications, 2011,32（1）:1～8
9	Wang C R , Tian H , Miao J . Dynamic traffic allocation scheme for optimum distribution in heterogeneous networks. IEEE Vehicular Technology Conference （VTC Fall）, San Francisco, CA, USA, 2011:1～5
10	马骁，盛敏，张琰．异构多接入网并发传输的时延界分析及分流策略．西安电子科技大学学报， 2013,40（2）:5～12 Ma Y , Shen M , Zhang Y . Delay bound analysis and splitting strategies of concurrent transmission in heterogeneous networks. Journal of Xidian University（Natural Science）, 2013,40（2）:5～12
11	Ghani S . Analysis of Pareto distribution on delay performance in network. Proceedings of the 1st International Conference on Wireless Communications Frontiers （WCF 2010）, Chongqing, China, 2010
12	3GPP 2C.R1002-0 V1.0.cdma2000 Evaluation Methodology, 2004
13	Xu S , Xu B G , Peng D Z . The waiting time distribution of a pareto service self-similar queuing model for wireless network nodes. Proceedings of International Conference on W ireless Communications, Networking and Mobile Computing, Wuhan, China, 2006:1～3
14	Galkin A M , Simonina O A , Yanovsky G G . Multiservice IP network QoS parameters estimation in presence of self-similar traffic. Proceedings of 6th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking, St. Petersburg, Russia, 2006:235～245
15	Ghani S . The impact of self similar traffic on wireless LAN. Proceedings of International Wireless Communications and Mobile Computing Conference（IWCMC 2010）, Caen, France, 2010
16	杨艳，周永权，罗林等．人工萤火虫群优化算法求解约束优化问题．小型微型计算机系统， 2014,1（35）:185～188 Yang Y , Zhou Y Q , Luo L , et al. Artificial glowworm swarm optimization algorithm for solving constrained optimization problems. Journal of Chinese Computer Systems, 2014,1（35）:185～188

参数	数值
总的数据速率R	2～6 Mbit/s
R_a,1	4 Mbit/s
R_a,2	2 Mbit/s
R_a,3	3 Mbit/s
种群大小N	20
最大迭代次数M	300
荧光素挥发因子rho	0.4
适应度提取比r	0.6
邻域变化率β	0.08
邻域阈值（邻域荧火虫数）nt	5
步长s	0.03
荧光素浓度iot0	5
决策半径ro	2.048
数据分组长度M_s	512 byte
L_s	18 900 byte
k_s	189 byte
a_s	1.5

[1]	缪德山, 柴丽, 孙建成, 柯颋, 刘玉真, 徐晓东, 胡南, 陈山枝. 5G NTN关键技术研究与演进展望[J]. 电信科学, 2022, 38(3): 10-21.
[2]	王一蓉,王艳茹,贺艳华,王永惠,唐良瑞. 基于成本与网络负载最优的智能配电通信网络规划策略[J]. 电信科学, 2017, 33(8): 173-179.
[3]	李渝舟,江涛,曹洋,李赞. 5G绿色超密集无线异构网络：理念、技术及挑战[J]. 电信科学, 2017, 33(6): 34-40.
[4]	李建东,刘磊,盛敏,徐超. 面向5G无线网络的智能干扰管理技术[J]. 电信科学, 2016, 32(6): 3-14.
[5]	冯陈伟,袁江南. 基于强化学习的异构无线网络资源管理算法[J]. 电信科学, 2015, 31(8): 99-106.
[6]	郭敬元,杨涛,冯辉,胡波. 多类型异构无线网络连通性研究[J]. 电信科学, 2014, 30(3): 60-66.
[7]	陈友荣,周骏华,王章权,任条娟. 基于最小费用最大流的无线多媒体传感网多路径路由算法[J]. 电信科学, 2014, 30(12): 55-63.
[8]	刘鸿雁,胡春静,李远. 分层异构无线网络的协议架构和关键技术[J]. 电信科学, 2013, 29(6): 17-24.
[9]	任品毅,杜清河,孙黎,徐大同. 分层异构无线网络中基于预编码的干扰抑制技术[J]. 电信科学, 2013, 29(6): 39-45.
[10]	何明,陈秋丽,叶旭光,权冀川,陈希亮. 水下声学传感器网络研究[J]. 电信科学, 2013, 29(11): 72-76.
[11]	李玥,彭木根. 基于虚拟小区的分层异构无线组网方案[J]. 电信科学, 2013, 29(1): 8-14.