IEEE Transactions on Signal Processing · 2014 · 198 citations · 29 references
Mathematical ProgrammingEngineeringSemidefinite ProgrammingElectromagnetic CompatibilityChannel Capacity EstimationFull DuplexWireless SecurityInformation Theoretic SecuritySecure CommunicationSystems EngineeringCombinatorial OptimizationJoint Information-Transmit SecurityComputer EngineeringCooperative DiversityComputer ScienceSignal ProcessingReceive SecurityPhysical Layer SecuritySemi-definite OptimizationBeamformingMulti-terminal Information Theory
In this paper, we design joint information beamforming and jamming beamforming to guarantee both transmit security and receive security for a full-duplex base-station (FD-BS). Specifically, we aim to maximize the secret transmit rate while constrain the secret receive rate to be greater than a predefined bound. When FD-BS is equipped with a single transmit antenna, we derive the optimal solutions in closed-form, and interestingly, the results say that simultaneous information and jamming transmission cannot be optimal. When FD-BS is equipped with multiple transmit antennas, we convert the original nonconvex problem into a sequence of subproblems where the semidefinite programming (SDP) relaxation can be applied to efficiently find the optimal solutions. We strictly prove that such a relaxation does not change the optimality for these subproblems. Then the global optimal solutions of the original nonconvex problem can be obtained via a one-dimensional search. Simulation results are provided to verify the efficiency of the proposed algorithms.
29
A.D. Wyner · Bell System Technical Journal · 1975 · 7K citations
Semidefinite Relaxation of Quadratic Optimization Problems
Zhi‐Quan Luo, Wing‐Kin Ma, Anthony Man–Cho So et al. · IEEE Signal Processing Magazine · 2010 · 3.6K citations