Publication | Open Access
Optimal Pilots for Anti-Eavesdropping Channel Estimation
17
Citations
21
References
2020
Year
Optimal PilotsEngineeringMulti-user DetectionChannel Capacity EstimationMultiuser MimoAntennaComputer EngineeringSystems EngineeringAnti-eavesdropping Channel EstimationComputer ScienceMutual InformationChannel EstimationChannel CharacterizationSignal Processing
Anti-eavesdropping channel estimation (ANECE) is a method that uses specially designed pilot signals to allow two or more full-duplex radio devices each with one or more antennas to estimate their channel state information (CSI) consistently and at the same time prevent eavesdropper (Eve) with any number of antennas from obtaining its CSI consistently. This paper presents optimal designs of the pilots for ANECE based on two criteria. The first is the mean squared error (MSE) of channel estimation for the users, and the second is the mutual information (MI) between the pilot-driven signals observed by the users. Closed-form optimal pilots are shown under the sum-MSE and sum-MI criteria subject to a symmetric and isotropic condition. Algorithms for computing the optimal pilots are shown for general cases. Fairness issues for three or more users are discussed. The performances of different designs are compared.
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