基于视频业务质量优化的认知无线电传输信道选择

doi:10.11772/j.issn.1001-9081.2015.06.1527

计算机应用 ›› 2015, Vol. 35 ›› Issue (6): 1527-1530.DOI: 10.11772/j.issn.1001-9081.2015.06.1527

基于视频业务质量优化的认知无线电传输信道选择

刘金霞¹, 陈莲娜², 刘延伟³, 王遵义¹, 彭光超³

1. 浙江万里学院基础学院, 浙江宁波315100;
2. 中国计量学院信息工程学院, 杭州 310018;
3. 中国科学院声学研究所, 北京 100190

收稿日期:2014-12-30 修回日期:2015-03-28 发布日期:2015-06-12
通讯作者: 陈莲娜(1965-),女,甘肃兰州人,副教授,主要研究方向:认知无线电网络;chenlianna@cjlu.edu.cn
作者简介:刘金霞(1969-),女,黑龙江克山人,副教授,硕士,主要研究方向:视频编码、无线通信;刘延伟(1976-),男,黑龙江齐齐哈尔人,副研究员,博士,CCF会员,主要研究方向:视频处理、无线通信;王遵义(1962-),男,浙江宁波人,教授,硕士,主要研究方向:物联网、视频通信。
基金资助:
国家自然科学基金资助项目(61102077);浙江省自然科学基金资助项目(LY12H29012,LY13F010012);浙江省公益技术研究工业项目(2014C31072);宁波市创新团队项目(2012B82006);浙江省高校访问学者教师专业发展项目(FX2013118)。

Transmission channel selection of cognitive radio networks based on quality optimization for video streaming

LIU Jinxia¹, CHEN Lianna², LIU Yanwei³, WANG Zunyi¹, PENG Guangchao³

1. Junior College, Zhejiang Wanli University, Ningbo Zhejiang 315100, China;
2. College of Information Engineering, China Jiliang University, Hangzhou Zhejiang 310018, China;
3. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

Received:2014-12-30 Revised:2015-03-28 Published:2015-06-12

摘要/Abstract

摘要：

认知无线电网络中,次级用户选择信道的传统技术基于信道特性对传输信道进行随机选择,忽略了应用层视频业务对信道质量的要求。针对该问题提出了一种基于视频业务质量优化的信道选择技术,优化视频业务端到端的传输质量。通过最小化端到端视频失真,跨层优化综合选择物理层传输信道、自适应调制与编码模式以及应用层的编码量化参数。该方法在多信道认知无线电网络下进行了大量的视频传输仿真模拟实验。实验结果表明该方法能够比不含信道选择的跨层优化方法提高认知无线电网络下次级用户的视频传输业务客观质量1.5 dB以上。

关键词: 认知无线电网络, 信道选择, 跨层优化, 视频传输业务

Abstract:

The conventional channel selection approach in cognitive radio network is random selection of the transmission channel based on the channel characteristics while neglecting the channel quality requirement of the video streaming at the application layer. Aiming at solving this problem, a cross-layer optimized channel selection method targeting on the video streaming quality optimization was presented. Via minimizing the end-to-end video distortion, the video encoding quantization parameter at the application layer and the adaptive modulation and channel coding as well as the specific transmission channel at the physical layer were jointly selected. A large number of video transmission simulation experiments were made for the proposed algorithm over the multi-channel cognitive radio networks. The experimental results show that this kind of cross-layer optimized channel selection approach can efficiently improve the objective quality of second user video streaming more than 1.5 dB over the cross-layer optimization without channel-selection method over cognitive radio networks.

Key words: cognitive radio network, channel selection, cross-layer optimization, video streaming

中图分类号:

TN926
TP393

刘金霞, 陈莲娜, 刘延伟, 王遵义, 彭光超. 基于视频业务质量优化的认知无线电传输信道选择[J]. 计算机应用, 2015, 35(6): 1527-1530.

LIU Jinxia, CHEN Lianna, LIU Yanwei, WANG Zunyi, PENG Guangchao. Transmission channel selection of cognitive radio networks based on quality optimization for video streaming[J]. Journal of Computer Applications, 2015, 35(6): 1527-1530.

参考文献

[1] TOBE Y, TAMURA Y, MOLANO A, et al.Achieving moderate fairness for UDP flows by path status classification [C]//LCN 2000: Proceedings of the 25th Annual IEEE Conference on Local Computer Networks. Piscataway: IEEE, 2000: 252-261.
[2] XING Y, MATHUR C, HALEEM M, et al. Dynamic spectrum access with QoS and interference temperature constraints [J]. IEEE Transactions on Mobile Computing, 2007, 6(4): 423-433.
[3] SANKARANARAYANAN S, PAPADIMITRATOS P, MISHRA A, et al. A bandwidth sharing approach to improve licensed spectrum utilization [C]//DySPAN 2005:Proceedings of the 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Piscataway: IEEE, 2005: 279-288.
[4] ZHENG X, GUO W, HUANG L. A novel topology-independent MAC protocol with on-demand channel assignment for multi-channel Ad-Hoc network [J]. Computer Science, 2005, 32(5): 34-40.(郑相全, 郭伟, 黄磊, 一种新的拓扑无关的按需分配多信道自组网MAC协议[J].计算机科学, 2005, 32(5):34-40.
[5] CORMIO C, CHOWDHURY K R. A survey on MAC protocols for cognitive radio networks [J]. Ad Hoc Networks, 2009, 7(7): 1315-1329.
[6] WANG H, QIN H, ZHU L. A survey on MAC protocols for opportunistic spectrum access in cognitive radio networks [C]//CSSE 2008: Proceedings of the 2008 International Conference on Computer Science and Software Engineering. Piscataway: IEEE, 2008, 1:214-218.
[7] BENNAI M, SYDOR J, RAHMAN M. Automatic channel selection for cognitive radio systems [C]//PIMRC 2010: Proceedings of the 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications. Piscataway: IEEE, 2010: 1831-1835.
[8] LEE G, NA W, PARK L, et al. Channel allocation scheme for cognitive radio systems [C]//ICUFN 2010: Proceedings of the Second International Conference on Ubiquitous and Future Networks. Piscataway: IEEE, 2010: 243-246.
[9] ZAPPATERRA L. QoS-driven channel selection for heterogeneous cognitive radio networks [C]//ACM CoNEXT 2012: Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies. New York: ACM, 2012: 7-8.
[10] DRAVES R, PADHYE J, ZILL B. Routing in multi-radio, multi-hop wireless mesh networks [C]//ACM MobiCom 2004: Proceedings of the Tenth Annual International Conference on Mobile Computing and Networking. New York: ACM, 2004: 114-128.
[11] LEE W, AKYILDIZ I. Optimal spectrum sensing framework for cognitive radio networks [J]. IEEE Transactions on Wireless Communications, 2008, 7(10): 3845-3857.
[12] PENG G, LIU Y, HU Y, et al. End-to-end distortion optimized error control for real-time wireless video streaming [C]//MMSP 2011: Proceedings of the 2011 IEEE 13th International Workshop on Multimedia Signal Processing. Piscataway: IEEE, 2011: 1-5.
[13] PENG G, LIU Y, HU Y, et al.Simulation framework for real-time video transmission in dynamic spectrum environment [J]. Computer Engineering and Applications, 2011, 47(16): 1-3. (彭光超, 刘延伟, 胡亚辉, 等. 一种动态频谱下的实时视频传输仿真框架[J]. 计算机工程与应用, 2011, 47(16):1-3.)
[14] WU D, CI S, WANG H. Cross-layer optimization for video summary transmission over wireless networks [J]. IEEE Journal on Selected Areas in Communications, 2007, 25(4): 841-850.
[15] LIU H. Dynamic spectrum management in cognitive radio network [D]. Beijing: Beijing University of Posts and Telecommunications, 2009. (刘红杰, 基于认知无线电的动态频谱管理理论及相关关键技术研究[D]. 北京: 北京邮电大学, 2009.)
[16] CHEN L, LIU J, ZHAO P, et al. SSIM-based low-complexity cross-layer optimization for wireless video streaming [J]. Application Research of Computers, 2014, 31(8): 2245-2249. (陈莲娜, 刘金霞, 赵平华, 等.基于SSIM的低复杂度跨层优化无线视频传输方法[J].计算机应用研究, 2014, 31(8):2245-2249.)

基于视频业务质量优化的认知无线电传输信道选择

Transmission channel selection of cognitive radio networks based on quality optimization for video streaming

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