后向散射多传感通信中断率

doi:10.3969/j.issn.0255-8297.2016.03.006

应用科学学报 ›› 2016, Vol. 34 ›› Issue (3): 293-301.doi: 10.3969/j.issn.0255-8297.2016.03.006

后向散射多传感通信中断率

鄢婷婷^1,2, 胡圣波^1,2, 施燕峰^1,2, 宋小伟^1,2

1. 贵州师范大学智能信息处理研究所, 贵阳 550001;
2. 贵州省教育厅射频识别与传感网络工程中心, 贵阳 550001

收稿日期:2015-08-27 修回日期:2016-01-24 出版日期:2016-05-30 发布日期:2016-05-30
通信作者: 胡圣波,博士,教授,研究方向:智能传感和无线通信技术,E-mail:hsb@nssc.ac.cn E-mail:hsb@nssc.ac.cn
基金资助:
国家自然科学基金(No.61362004)资助

Outage Probability Analysis for Multi-sensor Backscatter Communication

YAN Ting-ting^1,2, HU Sheng-bo^1,2, SHI Yan-feng^1,2, SONG Xiao-wei^1,2

1. Institute of Intelligent Information Processing, Guizhou Normal University, Guiyang 550001, China;
2. Radio Frequency Identification and Wireless Sensor Networks Engineering Center for the Education Department of Guizhou Province, Guiyang 550001, China

Received:2015-08-27 Revised:2016-01-24 Online:2016-05-30 Published:2016-05-30

摘要/Abstract

摘要：

中断率是分析无线多传感后向散射通信系统的重要指标.针对后向散射多传感系统中的中断问题,基于经典的后向散射多传感通信模型,给出了对数正态阴影信道下中断率的闭式解.应用蒙特卡罗(Monte Carlo)仿真和数值积分的方法,分析了影响后向散射多传感通信系统中断率的相关因子.结果表明,蒙特卡罗仿真与数值积分具有很好的一致性,中断率的数值分析误差小于1.481%.同时,随着信号干扰加噪声比SINR门限值的增加,中断率也增加;如果SINR门限值过大,传感器间相互干扰影响很大;反之,如果SINR门限值过小,传感器间相互干扰影响很小,为后向散射多传感系统的可靠性分析和设计提供了参考.

关键词: 中断率, 闭式解, 信干噪比, 后向散射

Abstract:

Outage probability is a vital index in analyzing wireless multi-sensor backscatter communication. A classical model of multi-sensor backscatter communication system is used for analyzing outage probability. A closed-form solution of outage probability for a lognormal shadow channel is given. Using Monte Carlo simulation and numerical integration, factors affecting outage probability are analyzed. The result of Monte Carlo simulation is consistent with that of numerical integration. The outage probability error of numerical analysis is less than 1.481%. Meanwhile, with increase of the SINR threshold, the outage probability increases. If the SINR threshold is too large, mutual interference among sensors becomes severe. On the contrary, if SINR threshold is too small, mutual interference is greatly reduced. These conclusions provide a reference for analyzing reliability and designing of backscatter communication systems.

Key words: backscatter, signal to interference ratio, outage probability, closed-form solution

中图分类号:

TN014

鄢婷婷, 胡圣波, 施燕峰, 宋小伟. 后向散射多传感通信中断率[J]. 应用科学学报, 2016, 34(3): 293-301.

YAN Ting-ting, HU Sheng-bo, SHI Yan-feng, SONG Xiao-wei. Outage Probability Analysis for Multi-sensor Backscatter Communication[J]. Journal of Applied Sciences, 2016, 34(3): 293-301.

参考文献

[1] Stockman H. Communication by means of reflected power[J]. Proceedings of the Institute of Radio Engineers, 1948, 36(10):1196-1204.
[2] Dobkin D. The RF in RFID:passive UHF RFID in practice[M]. Newnes:Elsevier, 2008.
[3] Carlowitz C, Vossiek M. Miniaturized regenerative backscatter transponder with bidirectional communication[C]//European Radar Conference (EuRAD), 2013:109-112.
[4] Barott W C. Coherent backscatter communications using ambient transmitters and passive radar processing[C]//National Wireless Research Collaboration Symposium (NWRCS), National, 2014:15-20.
[5] Cnaan-On I, Thomas S J, Reynolds M S, Krolik J L. Multichannel radar backscatter communication and localization[C]//IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014:76-80.
[6] Mayordomo I, Berenguer R, Fernandez I, Gutierrez I, Strauss W, Bernhard J. Simulation and measurement of a long-range passive RFID system focused on reader architecture and backscattering communication[C]//38th European Microwave Conference, 2008:1058-1061.
[7] Sample A, Yeager D J, Powledge P S, Mamishev A V, Smith J R. Design of an RFIDbased battery-free programmable sensing platform[J]. IEEE Transactions on Instrumentation and Measurement, 2008, 57(11):2608-2615.
[8] Yeager D, Zhang F, Zarrasvand A, George N, Daniel R, Otis B. A 9μA, addressable Gen2 sensor tag for biosignal acquisition[J]. IEEE Journal of Solid-State Circuits, 2010, 45(10):2198-2209.
[9] Talla V T, Buettner M, Wetherall D, Smith J. Hybrid analog-digital backscatter platform with high data rate, battery-free sensing[C]//IEEE Topical Meeting on Wireless Sensors and Sensor Networks (WiSNet), 2013:1-3.
[10] Ergen S, Vincentelli A S, Sun X. The tire as an intelligent sensor[J]. IEEE Transaction on Computer-aided Design of Integrated Circuits and Systems, 2009, 28(7):941-955.
[11] Ferrari P, Flammini A, Sisinni E. New architecture for a wireless smart sensor based on a software defined radio[J]. IEEE Transaction on Instrumentation and Measurement, 2011, 60(6):2133-2141.
[12] Konstantopoulos C, Kampianakis E, Koutroulis E, Bletsas A. Wireless sensor node for backscattering electrical signals generated by plants[C]//IEEE Sensors, 2013:1-4.
[13] Bletsas A, Siachalou S, Sahalos J N. Anti-collision backscatter sensor networks[J]. IEEE Transactions on Wireless Communications, 2009, 8(10):5018-5029.
[14] Lee J, Wang. H, Andrews J G, Hong D. Outage probability of cognitive relay networks with interference constraints[J]. IEEE Transactions on Wireless Communications, 2011, 10(2):390-395.
[15] Liu X. Outage probability of secrecy capacity over correlated log-normal fading channels[J]. IEEE Communications Letters, 2013, 17(2):289-292.
[16] 陈学强,王成华,张小飞,陈晓明,朱秋明.多天线深空中继通信系统的中断率和信道容量[J].应用科学报,2014,33(6):552-558. Chen X Q, Wang C H, Zhang X F, Chen X M, Zhu Q M. Outage probability and ergodic capacity of deep space communication with relay forwarding and multiple antenna reception[J]. Journal of Applied Sciences, 2014, 33(6):552-558. (in Chinese)
[17] 裴鹿成. 计算机随机模拟[M]. 长沙:湖南科学技术出版社,1989:5-11.
[18] Vannucci G, Bletsas A, Leigh D. A software-defined radio system for backscatter sensor networks[J]. IEEE Transaction on Wireless Communications, 2008, 7(6):2170-2179.
[19] Goldsmith A J. Wireless communications[M]. Cambridge, UK:Cambridge University Press, 2005.
[20] 韩立强,王祁. 信太克归;大气湍流下自由空间光通信中断概率分析[J].红外与激光工程,2010, 39(4):660-663. Han L Q, Wang Q, Xing T K G. Outage probability of free space optical communication over atmospheric turbulence[J]. Infrared and Laser Engineering, 2010, 39(4):660-663. (in Chinese)
[21] 王俊波,王金元,林敏,陈明.分布式天线系统中的系统上行中断概率分析[J].电子与信息学报,2011, 33(5):1136-1140. Wang J B, Wang J Y, Ling M, Chen M. System uplink outage probability analysis in distributed antenna systems[J]. Journal of Electronics & Information Technology, 2011, 35(5):1136-1140. (in Chinese)
[22] 孙立悦,赵晓晖,虢明.基于中断概率的协作通信中继选择与功率分配算法[J].通信学报,2013, 34(10):84-91. Sun L Y, Zhao X H, Guo M. Outage probability based power allocation and relay selection algorithm in cooperative communication[J]. Journal on Communications, 2013, 34(10):84-91. (in Chinese)
[23] 龚纯,王正林. MATLAB语言常用算法程序集[M]. 北京:电子工业出版社,2008:190-192.
[24] Fernandez M S, Calderon J M A, Bravo Diez P M. Implementation in MATLAB of the adaptive Monte Carlo method for the evaluation of measurement uncertainties[J]. Accred Qual Assur, 2009, 14(2):95-106.
[25] Gonsalves R. Evaluation of outage probability in two-tier open access femtocell networks[C]//International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014:201-206.

后向散射多传感通信中断率

Outage Probability Analysis for Multi-sensor Backscatter Communication

PDF

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 3

编辑推荐

Metrics

本文评价

[1]	王鼎1，李长胜2，吴瑛1. 基于特征向量的阵列误差矩阵最优闭式解[J]. 应用科学学报, 2009, 27(6): 592-600.
[2]	马守贵，谢波，王俊波，陈明. 基于SINR的TDD-CDMA分层小区系统接入控制[J]. 应用科学学报, 2009, 27(3): 221-225.
[3]	倪晋麟, 苏为民, 储晓彬. 幅相不一致性对自适应阵列性能的影响[J]. 应用科学学报, 2000, 18(3): 223-226.