Optimal Pilots for Anti-Eavesdropping Channel Estimation

Abstract

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.

References in corpus (4)

• Two-Way Training for Discriminatory Channel Estimation in Wireless MIMO Systems
• A Semiblind Two-Way Training Method for Discriminatory Channel Estimation in MIMO Systems
• Key Generation Using External Source Excitation: Capacity, Reliability, and Secrecy Exponent
• Secrecy Analyses of a Full-Duplex MIMOME Network

Cited by in corpus (2)

• Secure Degree of Freedom of Wireless Networks Using Collaborative Pilots
• A Research Journey of Full-Duplex at University of California from Self-Interference Cancellation to Wireless Network Security