DocumentCode :
661485
Title :
On ergodic secrecy capacity of fast fading MIMOME wiretap channel with statistical CSIT
Author :
Shih-Chun Lin
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2013
fDate :
Oct. 29 2013-Nov. 1 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we consider the secure transmission in ergodic Rayleigh fast-faded multiple-input multiple-output multiple-antenna-eavesdropper (MIMOME) wiretap channels with only statistical channel state information at the transmitter (CSIT). When legitimate receiver has more (or equal) antennas than the eavesdropper, we prove the first MIMOME secrecy capacity result with partial CSIT by establishing a new secrecy capacity upper-bound. The key step is forming an MIMOME degraded channel by dividing the legitimate receiver´s channel matrix into two submatrices, and setting one of which the same as the eavesdropper´s channel matrix. Next, subject to the total power constraint overall transmit antennas, we solve the channel-input covariance matrix optimization problem to fully characterize the MIMOME secrecy capacity. Typically, the MIMOME optimization problems are non-concave. However, with aids of the proposed degraded channel, we show that the stochastic MIMOME optimization problem can be transformed to be a Schur-concave problem to find its optimal solution. Finally, we find that the MIMOME secrecy capacities scale with the signal-to-noise ratios with large enough numbers of antennas at legitimate receiver. However, as shown in previous works, such a scaling does not exist for wiretap channels with single antenna at legitimate receiver and eavesdropper each.
Keywords :
MIMO communication; Rayleigh channels; channel capacity; concave programming; covariance matrices; cryptography; radio receivers; radio transmitters; statistical analysis; stochastic processes; telecommunication security; MIMOME secrecy capacity; Schur-concave problem; channel matrix; channel-input covariance matrix optimization problem; ergodic Rayleigh fast-faded MIMOME wiretap channels; multiple-input multiple-output multiple-antenna-eavesdropper; statistical CSIT; statistical channel state information at the transmitter; stochastic MIMOME optimization problem; Fading; Optimization; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/APSIPA.2013.6694348
Filename :
6694348
Link To Document :
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