2010
DOI: 10.1109/tit.2010.2068852
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Secure Transmission With Multiple Antennas—Part II: The MIMOME Wiretap Channel

Abstract: The capacity of the Gaussian wiretap channel model is analyzed when there are multiple antennas at the sender, intended receiver and eavesdropper. The associated channel matrices are fixed and known to all the terminals. A computable characterization of the secrecy capacity is established as the saddle point solution to a minimax problem. The converse is based on a Sato-type argument used in other broadcast settings, and the coding theorem is based on Gaussian wiretap codebooks.At high signal-to-noise ratio (S… Show more

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Cited by 937 publications
(689 citation statements)
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“…The covariance matrices K t and K c are chosen so that they are positive definite, i.e., K t , K c ≻ 0, and hence non-singular, in order to guarantee the finiteness of h(Z t ) and h(Z c ) in (26). In…”
Section: ) Formentioning
confidence: 99%
“…The covariance matrices K t and K c are chosen so that they are positive definite, i.e., K t , K c ≻ 0, and hence non-singular, in order to guarantee the finiteness of h(Z t ) and h(Z c ) in (26). In…”
Section: ) Formentioning
confidence: 99%
“…Furthermore, the secrecy capacity is given by: C s ≔ sup R∈R s R, where R s is the set of achievable secrecy rates. The secrecy capacity of the MIMO wiretap channel in nats per channel use (npcu) is given by [8]- [10]:…”
Section: Channel Model and Related Definitionsmentioning
confidence: 99%
“…Motivated by emerging wireless applications with multiple antenna terminals, physical layer security in multiple-input multiple-output (MIMO) wiretap channels has recently been addressed from an information theoretic perspective [1,2]. Taking the statistics of wireless fading into consideration, the secrecy outage probability for different transmission schemes was examined for various fading environments.…”
Section: Introductionmentioning
confidence: 99%