DocumentCode :
2934712
Title :
Physical layer key generation methods for arbitrary fading channels
Author :
Sharma, Rajesh K. ; Wallace, Jon W.
Author_Institution :
Sch. of Eng. & Sci., Jacobs Univ. Bremen, Bremen, Germany
fYear :
2011
fDate :
3-8 July 2011
Firstpage :
1368
Lastpage :
1371
Abstract :
Two methods are developed that can be applied to generate secret keys automatically from fading propagation channels that are reciprocal but have arbitrary (i.e. non Gaussian) statistics. Such methods may be necessary for physical-layer key generation in cases where the line-of-sight (LOS) component produces Rician channel statistics, not only because channel quantization based on Gaussian statistics will not provide equally probable symbols, but also because the symbol error rate (SER) and efficiency analysis based on Gaussian channels does not reflect true performance. An improved channel quantization method compared to is developed, where the empirical cumulative distribution function (cdf) of the channel is used directly to ensure equal probability of the key symbols. The results show that LOS channels can have slightly better SER performance than strictly Gaussian channels, especially at low SNR. Second, the idea of positional coding is developed, where a secret key can be transmitted by dividing empirical channel observations into multiple codewords and conveying a secret message from Alice to Bob in the sequence of channels fed forward from Alice to Bob. Analysis of the method illustrates that key mismatch rate can be made arbitrarily low by properly selecting the codeword length.
Keywords :
Gaussian channels; Gaussian processes; Rician channels; encoding; error statistics; quantisation (signal); statistical distributions; Gaussian channels; Gaussian statistics; LOS channels; Rician channel statistics; channel quantization method; codeword length; empirical cumulative distribution function; fading propagation channels; physical layer key generation methods; positional coding; symbol error rate; Channel estimation; Decoding; Encoding; Fading; MIMO; Quantization; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location :
Spokane, WA
ISSN :
1522-3965
Print_ISBN :
978-1-4244-9562-7
Type :
conf
DOI :
10.1109/APS.2011.5996545
Filename :
5996545
Link To Document :
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