Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization
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...If the eavesdropper’s CSIT is partially known, additional gains may be achieved by optimizing the AN transmit covariance [45] or relaxing the orthogonality constraint [46]....
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... + , M ∈ H Nt + , λ ∈ R+, Ak ∈ H Ne,k + and ηl ∈ R+ are dual variables associated with W 0, Σ 0, (45b), and (45c), respectively. Assuming that problem (45) satisfies s ome constraint qualifications [33], the KKT conditions that are relevant to the proof are given by I−λhhH + PK k=1 GkAkG H k + PL l=1 ηlΦl −Q = 0, (46a) QW = 0, (46b) W 0, Ak 0, ∀k, ηl ≥ 0,∀l, (46c) Postmultiplying (46a) by W and ...
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...ivative-free search algorithms for solving one-dimensional optimization problems, e.g., compass or coordinate search (cf. [31], [32]). In practice, we use either uniform sampling or the golden search [33] to obtain a satisfactory solution. Once problem (13) is solved, the solution (Q ⋆,Γ ,ξ⋆) outputted from the SDP (16) can be used to recover W ⋆and Σ through the relation (15). Note that an additional...
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"Spatially Selective Artificial-Nois..." refers background in this paper
...In many existing studies, the confidential information transmit covariance and the AN covariance are not simultaneously optimized....
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