Title :
Maximizing the Secret Key Rate for Informed Radios under Different Channel Conditions
Author :
Quist, B.T. ; Jensen, Michael A.
Author_Institution :
Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT, USA
Abstract :
The performance of techniques for establishing secret encryption keys from the reciprocal electromagnetic propagation between two wireless radios is generally measured by comparing the number of key bits generated to the key rate, or the information theoretic bound on the number of key bits that can be determined for a single independent channel estimate. While typically this bound is computed by assuming that the radios have no information regarding the channel, recent work has demonstrated an approach for computing this bound for nodes using beamformed antenna arrays that know the spatial covariance of a wide-sense stationary channel. Since this bound does not directly indicate how to perform practical channel estimation to obtain estimates that can achieve the bound, the prior work demonstrates an approximation that indicates a practical channel estimation procedure while yielding a mutual information near that of the key rate in rich multipath fading environments. This paper demonstrates appreciable degradation in the mutual information achieved using this approximation when the channel includes a line-of-sight component and proposes a modified approximation technique that performs well over a broad range of propagation conditions.
Keywords :
MIMO communication; antenna arrays; array signal processing; channel estimation; fading channels; private key cryptography; public key cryptography; radio networks; radiowave propagation; MIMO systems; beamformed antenna arrays; channel conditions; information theoretic bound; informed radios; line-of-sight component; modified approximation technique; multipath fading environments; mutual information; reciprocal electromagnetic propagation; secret encryption key rate maximization; single independent channel estimation; spatial covariance; wide-sense stationary channel; wireless radios; Antenna arrays; Approximation methods; Channel estimation; Covariance matrices; Rician channels; Signal to noise ratio; Vectors; Cryptography; MIMO systems; propagation; security;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2013.090313.122034