认知无线网络中视频传输的资源分配方案

doi:10.3969/j.issn.1001-2400.2016.02.002

西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (2): 6-12.doi: 10.3969/j.issn.1001-2400.2016.02.002

认知无线网络中视频传输的资源分配方案

龙彦;李红艳

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2014-12-10 出版日期:2016-04-20 发布日期:2016-05-27
通讯作者: 龙彦
作者简介:龙彦(1988-)，女，西安电子科技大学博士研究生，E-mail：ylong@stu.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(91338115，61231008)；国家科技重大专项资助项目(2011ZX03005-004, 2011ZX03004-003, 2013ZX03004007-003)；陕西省"13115"科技创新工程资助项目(2010ZDKG-26)；国家重点基础研究发展计划(973计划)资助项目(2009CB320404)；长江学者和创新团队发展计划资助项目(IRT0852)

Resource allocation scheme for video transmissions in cognitive radio networks

LONG Yan;LI Hongyan

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China)

Received:2014-12-10 Online:2016-04-20 Published:2016-05-27
Contact: LONG Yan

摘要/Abstract

摘要：

讨论了多网卡场景下，次用户在认知无线网络中视频传输的跨层资源分配问题．考虑到网卡与信道的耦合关系，提出了基于链路-网卡-信道的冲突干扰图，并对资源分配问题进行优化建模．模型的约束条件保证了无干扰无冲突的视频传输，且能够根据可伸缩编码视频业务的特点，为各业务提供路由选择及速率分配，模型的目标函数实现了基于公平考虑的网络吞吐量最大化．仿真结果表明，多网卡传输能够为视频业务提供更高的吞吐量，所提方案能够在保证公平性的同时，根据视频业务特点有效地利用网络资源，实现业务间的按需合理分配．

关键词: 认知无线网络, 跨层资源分配, 多网卡传输, 视频传输

Abstract:

Considering SUs with multiple radios, this paper discusses the cross-layer resource allocation problem for video transmissions in cognitive radio networks. Because of the coupling relationship between radio and channel, this paper proposes a new conflict graph based on the link-radio-channel, and models the resource allocation problem into an optimization problem. The constraints ensure the conflict-free and interference-free video transmissions, and provide flow routing and rate allocation for video services based on the feature of scalable video coding streams. The objective function achieves the network-level throughput maximization with fairness consideration. Simulation results show that the multi-radio transmission could gain a higher throughput. Also, the proposed scheme could provide fairness resource allocation, and use resource efficiently based on the feature of video services.

Key words: cognitive radio network, cross-layer resource allocation, multi-radio transmission, video transmissions

中图分类号:

TN929.5

龙彦;李红艳. 认知无线网络中视频传输的资源分配方案[J]. 西安电子科技大学学报, 2016, 43(2): 6-12.

LONG Yan;LI Hongyan. Resource allocation scheme for video transmissions in cognitive radio networks[J]. Journal of Xidian University, 2016, 43(2): 6-12.

参考文献

［1］韩维佳, 李建东, 姚俊良, 等. 认知无线中接入机会的建模与优化［J］. 西安电子科技大学学报, 2012, 39(1): 1-6.
HAN Weijia, LI Jiandong, YAO Junliang, et al. Modeling and Optimization of Access Opportunity in Cognitive Radio ［J］. Journal of Xidian University, 2012, 39(1): 1-6.
［2］李钊, 赵林靖, 刘勤. 多天线认知无线网络联合资源管理方法［J］. 西安电子科技大学学报, 2011, 38(4): 20-25.
LI Zhao, ZHAO Linjing, LIU Qin. Joint Resource Management in Multi-antenna Cognitive Radio Networks ［J］. Journal of Xidian University, 2011, 38(4): 20-25.
［3］ CHAOUB A, ELHAJ E, EL A J. Multimedia Traffic Transmission over Cognitive Radio Networks Using Multiple Description Coding ［C］//Communications in Computer and Information Science: 190CCIS. Berlin: Springer Verlag, 2011: 529-543.
［4］ MAO S. Video over Cognitive Radio Networks: When Quality of Service Meets Spectrum ［M］. Berlin: Springer, 2014: 1-6.
［5］ PAN M, ZHANG C, LI P, et al. Spectrum Harvesting and Sharing in Multi-hop CRNs under Uncertain Spectrum Supply ［J］. IEEE Journal on Selected Areas in Communications, 2012, 2(30): 369-378.
［6］ SHI Y, HOU Y, ZHOU H, et al. Distributed Cross-layer Optimization for Cognitive Radio Networks ［J］. IEEE Transactions on Vehicular Technology, 2010, 59(8): 4058-4069.
［7］ MUMEY B, ZHAO X, TANG J, et al. Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks ［C］//7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. Piscataway: IEEE, 2010: 5508242.
［8］ HU D, MAO S. Streaming Scalable Videos over Multi-hop Cognitive Radio Networks ［J］. IEEE Transactions on Wireless Communications, 2010, 9(11): 3501-3511.
［9］ KIM W, KASSLER A J, DI F M, et al. Urban-X: towards Distributed Channel Assignment in Cognitive Multi-radio Mesh Networks ［C］//2010 IFIP Wireless Days. Piscataway: IEEE Computer Society, 2010: 5657733.
［10］ CHAKARESKI J, HAN S, GIROD B. Layered Coding vs Multiple Descriptions for Video Streaming over Multiple Paths ［J］. Multimedia Systems, 2005, 10(4): 275-285.
［11］ SCHWARZ H, MARPE D, WIEGAND T. Overview of the Scalable Video Coding Extension Of the H.264/AVC Standard ［J］. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(9): 1103-1120.
［12］卢冀, 肖嵩, 吴成柯. 基于网络编码的可伸缩编码视频业务高效传输系统［J］. 西安电子科技大学学报, 2010, 37(3): 405-411.
LU Ji, XIAO Song, WU Chengke. Efficient SVC Transmission System Based on Network Coding ［J］. Journal of Xidian University, 2010, 37(3): 405-411.
［13］ ALICHERRY M, BHATIA R, LI L. Joint Channel Assignment and Routing for throughput Optimization in Multi-radio Wireless Mesh Networks ［C］ //2005 International Conference on Mobile Computing and Networking. New York: ACM, 2005: 58-72.
［14］ LONG Y, LI H, PAN M, et al. A Fair QoS-aware Resource-allocation Scheme for Multiradio Multichannel Networks ［J］. IEEE Transactions on Vehicular Technology, 2013, 62(7): 3349-3358.

[1]	李红宁;裴庆祺;李子. 认知无线网络中收敛感知算法安全性检测[J]. J4, 2014, 41(3): 157-161.
[2]	肖嵩;刘婷;杜建超;卢冀. 分级视频码流的三维精细粒度排序方法[J]. J4, 2012, 39(2): 73-79.
[3]	李鹏；卢朝阳；常义林；冯妮娜；李志斌. 利用分级正交幅度调制的无线视频传输方法[J]. J4, 2011, 38(3): 42-47.
[4]	冯妮娜；常义林；李鹏；杨付正；卢朝阳. 利用H.264/AVC 数据分割实现GOP级视频传输的方法[J]. J4, 2011, 38(3): 29-36+113.
[5]	张文柱;曾业;孙晓艳. IEEE 1900.4框架下一种有效的终端重构策略[J]. J4, 2010, 37(4): 594-601.
[6]	卢冀;肖嵩;吴成柯. 基于网络编码的SVC高效传输系统[J]. J4, 2010, 37(3): 405-411.
[7]	马彦卓1;常义林1;姚峻2. 一种新颖的无线OFDM信道H.264／AVC视频传输技术 [J]. J4, 2008, 35(3): 395-402.

认知无线网络中视频传输的资源分配方案

Resource allocation scheme for video transmissions in cognitive radio networks

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

Metrics

本文评价

推荐阅读 10