Impact of channel estimation errors on effectiveness of Eigenvector-based jamming for physical layer security in wireless networks

In this paper, we present our study of an Eigenvector-based artificial noise-based jamming technique developed to provide increased wireless physical layer security in transmit-receive diversity systems and analyze the impact of channel estimation errors on system performance. Our simulation results showed that with knowledge of perfect channel state information, the technique provided secrecy capacity of approximately 7 bits/s/Hz for a normalized transmit power of 25 dB for a variety of transmit, receive, and eavesdropper configurations. We also describe a novel method to simulate generalized channel state information estimation errors. While other publications neglect the impact of these estimation errors, our simulations show that the secrecy capacity decreased rapidly as the channel estimation errors increased. For instance, at 25% error the secrecy capacity of the jamming technique was only slightly better than the non-jamming case. Our paper also outlines upcoming research efforts to further explore error sensitivity and channel state temporal stability through experimentation.

[1]  Ishfaq Ahmad,et al.  Power-rate-distortion analysis for wireless video communication under energy constraints , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Elza Erkip,et al.  Power efficient H.263 video transmission over wireless channels , 2002, Proceedings. International Conference on Image Processing.

[3]  Yong-Hwan Lee,et al.  Packet Scheduling in the Presence of Channel Estimation Error in Multi-User OFDM Wireless Systems , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[4]  Liang-Gee Chen,et al.  Power-aware multimedia: concepts and design perspectives , 2007, IEEE Circuits and Systems Magazine.

[5]  Zhu Han,et al.  Improving Wireless Physical Layer Security via Cooperating Relays , 2010, IEEE Transactions on Signal Processing.

[6]  Panajotis Agathoklis,et al.  Performance and computational complexity optimization in configurable hybrid video coding system , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Zhu Han,et al.  Improved Wireless Secrecy Rate Using Distributed Auction Theory , 2009, 2009 Fifth International Conference on Mobile Ad-hoc and Sensor Networks.

[8]  Anantha P. Chandrakasan,et al.  Dynamic voltage scaling techniques for distributed microsensor networks , 2000, Proceedings IEEE Computer Society Workshop on VLSI 2000. System Design for a System-on-Chip Era.

[9]  A. D. Wyner,et al.  The wire-tap channel , 1975, The Bell System Technical Journal.

[10]  Ranjan K. Mallik,et al.  Analysis of transmit-receive diversity in Rayleigh fading , 2003, IEEE Trans. Commun..

[11]  Fernando C. Colón Osorio,et al.  State of wireless security implementations in the United States and Europe - empirical data , 2008, 2008 3rd International Conference on Malicious and Unwanted Software (MALWARE).

[12]  R. Negi,et al.  Secret communication using artificial noise , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[13]  Aggelos K. Katsaggelos,et al.  Energy-efficient wireless video coding and delivery , 2005, IEEE Wireless Communications.

[14]  Martin E. Hellman,et al.  The Gaussian wire-tap channel , 1978, IEEE Trans. Inf. Theory.

[15]  Matthew R. McKay,et al.  Physical layer security with artificial noise: Secrecy capacity and optimal power allocation , 2009, 2009 3rd International Conference on Signal Processing and Communication Systems.

[16]  H. Vincent Poor,et al.  Impact of channel estimation error on multiuser detection via the replica method , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[17]  Thomas D. Burd,et al.  Processor design for portable systems , 1996, J. VLSI Signal Process..

[18]  Xingzhong Xiong,et al.  Effect of channel estimation error on the performance of Interleave-Division Multiple Access systems , 2009, 2009 11th International Conference on Advanced Communication Technology.

[19]  Titus K. Y. Lo.  Maximum ratio transmission , 1999, IEEE Trans. Commun..

[20]  Ueli Maurer,et al.  Secret key agreement by public discussion from common information , 1993, IEEE Trans. Inf. Theory.

[21]  Xi Chen,et al.  Energy Minimization of Portable Video Communication Devices Based on Power-Rate-Distortion Optimization , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[22]  Zhihai He,et al.  Resource allocation and performance analysis of wireless video sensors , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[23]  Ying Tan,et al.  Workload prediction and dynamic voltage scaling for MPEG decoding , 2006, Asia and South Pacific Conference on Design Automation, 2006..

[24]  H. Vincent Poor,et al.  Impact of Channel Estimation Errors on Multiuser Detection via the Replica Method , 2005, EURASIP J. Wirel. Commun. Netw..

[25]  Michael Hempel,et al.  An approach to secure wireless communications using randomized eigenvector-based jamming signals , 2010, IWCMC.

[26]  Qing Wu,et al.  Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting , 2008, 2008 Design, Automation and Test in Europe.

[27]  Zhu Han,et al.  Cooperative jamming for wireless physical layer security , 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.