Two-Way Training for Discriminatory Channel Estimation in Wireless MIMO Systems

Provided by: Institute of Electrical and Electronics Engineers
Topic: Mobility
Format: PDF
In this paper, the authors examines the use of two-way training to efficiently discriminate the channel estimation performances at a Legitimate Receiver (LR) and an Unauthorized Receiver (UR) in a Multiple-Input Multiple-Output (MIMO) wireless system. This paper improves upon the original Discriminatory Channel Estimation (DCE) scheme proposed by Chang et al where multiple stages of feedback and retraining were used. While most studies on physical layer secrecy are under the information-theoretic framework and focus directly on the data transmission phase, studies on DCE focus on the training phase and aim to provide a practical signal processing technique to discriminate between the channel estimation performances (and, thus, the effective received signal qualities) at LR and UR.

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