Airborne PLC channel modeling by transfer function and its probabilistic guarantee analysis
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摘要:
采用电源线通信(PLC)技术替代部分机载电子设备之间的数据电缆可以简化布线并实现减重。根据机载电源线环境及航空电子通信要求，需要解决信道衰落及噪声干扰条件下PLC实时性能评价问题。针对机载电源线的布线拓扑结构，采用“自底向上”构造电压比方程的形式给出了PLC信道传递函数的建模方法；推导得出信道传递函数、信道增益和瞬时信道容量之间的关系；在有效容量理论框架下，通过论证积压队列的非空概率与服务质量(QoS)指数的关系，使得能够从瞬时信道容量简便地求得延迟违规概率，用以评价实时性能的概率保证。通过仿真验证了延迟违规概率算法的准确性，并得到不同信道传递函数条件下延迟界限与违规概率的关系，说明了信道衰落显著地影响延迟约束下机载PLC系统的概率保证实时通信速率。
Abstract:Wiring can be made simpler and lighter by using power line communication (PLC) technology to replace some of the data cables used to connect avionics systems. According to airborne power line environment and avionics communication requirements, it is necessary to solve the problem of evaluating the real-time performance of PLC under the conditions of channel fading and interference. First of all, according to the wiring topology of the power lines in a certain aircraft, a modeling method of the PLC channel by transfer function is achieved in the form of a "bottom-up" construction with voltage ratio equations. Subsequently, the relationship between the transfer function, channel gain and instantaneous Shannon capacity is deduced. According to the effective capacity theory, by exploiting the relationship between the non-empty probability of the backlog queue and the quality of service (QoS) factor, It is possible to easily obtain the delay violation probability from the instantaneous Shannon capacity to evaluate the probabilistic guaranteeing of real-time performance. Simulation results verify the accuracy of our models and analysis to estimate the delay violation probabilities, and show the relationship between the delay limit and the violation probability under different channel transfer functions. They also demonstrate how the channel fading significantly affects the sustained real-time rate for airborne PLC systems under the probabilistic guaranteeing delay constraint.
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图 9 不同传输速率下延迟违规概率的仿真结果与分析结果
Figure 9. Simulation results and analysis results of delay violation probability under different transmission rates
图 10 不同信道增益下延迟违规概率与最大延迟关系
Figure 10. Relationship between delay violation probability and maximum delay under different channel gain conditions
图 11 不同最大延迟下延迟违规概率与信道增益关系
Figure 11. Relationship between delay violation probability and channel gain under different maximum delay conditions
表 1 机载PLC信道参数与物理常数
Table 1. Airborne PLC channel parameters and physical constants
参数 数值 导线间距/mm 3 导线半径/mm 1.2 介电常数/(F·m-1) 8.85×10－12 真空磁导率/(H·m-1) 4π×10－7 电导率/(S·m-1) 5.8×10－7 
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[1] NOUVEL F, LAMPE L. Power line communications: Principles, standards and applications from multimedia to smart grid[M]. 2nd ed. New York: Wiley Publishing, 2016. [2] DEGARDIN V, JUNQUA I, LIENARD M, et al. Theoretical approach to the feasibility of power-line communication in aircrafts[J]. IEEE Transactions on Vehicular Technology, 2013, 62(3): 1362-1366. doi: 10.1109/TVT.2012.2228245 [3] GODO E L. Flight control system with remote electronics[C]//The 21st Digital Avionics Systems Conference. Piscataway: IEEE Press, 2002, 2: 13B1. [4] O'BRIEN J, KULSHRESHTHA A. Distributed and remote control of flight control actuation using power line communications[C]//IEEE/AIAA 27th Digital Avionics Systems Conference. Piscataway: IEEE Press, 2008: 1. D. 4-1-1. D. 4-12. [5] TANG L T, SO P L, GUNAWAN E, et al. Characterization and modeling of in-building power lines for high-speed data transmission[J]. IEEE Transactions on Power Delivery, 2003, 18(1): 69-77. doi: 10.1109/TPWRD.2002.803796 [6] PHILIPPS H. Modeling of powerline communication channels[C]//Proceedings of 3rd International Symposium on Power-Line Communications and its Applications, 1999: 14-21. [7] GALLI S, BANWELL T C. A deterministic frequency-domain model for the indoor power line transfer function[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(7): 1304-1316. doi: 10.1109/JSAC.2006.874428 [8] ESMAILIAN T, KSCHISCHANG F R, GULAK P G. In-building power lines as high-speed communication channels: Channel characterization and a test channel ensemble[J]. International Journal of Communication Systems, 2003, 16(5): 381-400. doi: 10.1002/dac.596 [9] MENG H, CHEN S, GUAN Y, et al. Modeling of transfer characteristics for the broadband power line communication channel[J]. IEEE Transactions on Power Delivery, 2004, 19(3): 1057-1064. doi: 10.1109/TPWRD.2004.824430 [10] TONELLO A M, VERSOLATTO F. Bottom-up statistical PLC channel modeling—Part I: Random topology model and efficient transfer function computation[J]. IEEE Transactions on Power Delivery, 2011, 26(2): 891-898. doi: 10.1109/TPWRD.2010.2096518 [11] 周海勇. 飞机电力线载波数据通信关键技术研究[D]. 南京: 南京航空航天大学, 2005.ZHOU H Y. Research on key technologies of aircraft power line carrier data communication[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2005(in Chinese). [12] BIGLIERI E. Coding and modulation for a horrible channel[J]. IEEE Communications Magazine, 2003, 41(5): 92-98. doi: 10.1109/MCOM.2003.1200107 [13] WU D, NEGI R. Effective capacity: A wireless link model for support of quality of service[J]. IEEE Transactions on Wireless Communications, 2003, 2(4): 630-643. [14] AMJAD M, MUSAVIAN L, REHMANI M H. Effective capacity in wireless networks: A comprehensive survey[J]. IEEE Communications Surveys & Tutorials, 2019, 21(4): 3007-3038. [15] JEONG Y, SHIN H, WIN M Z. H-transforms for wireless communication[J]. IEEE Transactions on Information Theory, 2015, 61(7): 3773-3809. doi: 10.1109/TIT.2015.2433264 [16] YOU M, SUN H, JIANG J, et al. Unified framework for the effective rate analysis of wireless communication systems over MISO fading channels[J]. IEEE Transactions on Communications, 2017, 65(4): 1775-1785. doi: 10.1109/TCOMM.2016.2638901 [17] ALHENNAWI H R, EL AYADI M M H, ISMAIL M H, et al. Closed-form exact and asymptotic expressions for the symbol error rate and capacity of the H-function fading channel[J]. IEEE Transactions on Vehicular Technology, 2016, 65(4): 1957-1974. doi: 10.1109/TVT.2015.2424591 [18] CHOUDHURY G L, LUCANTONI D M. Squeezing the most out of ATM[J]. IEEE Transactions on Communications, 1996, 44(2): 203-217. doi: 10.1109/26.486613 [19] TONELLO A M, VERSOLATTO F. Bottom-up statistical PLC channel modeling—Part Ⅱ: Inferring the statistics[J]. IEEE Transactions on Power Delivery, 2010, 25(4): 2356-2363. doi: 10.1109/TPWRD.2010.2053561 [20] CORRIPIO F, ARRABAL J, DEL RIOL D, et al. Analysis of the cyclic short-term variation of indoor power line channels[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(7): 1327-1338. doi: 10.1109/JSAC.2006.874402 [21] 台新. 电力线通信信道噪声分析与建模仿真[D]. 北京: 北京邮电大学, 2013.TAI X. Analysis and simulation for the noise in power line communication channel[D]. Beijing: Beijing University of Posts and Telecommunications, 2013(in Chinese). -
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