4.7 Article

Channel Estimation and Secret Key Rate Analysis of MIMO Terahertz Quantum Key Distribution

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 70, Issue 5, Pages 3350-3363

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2022.3161008

Keywords

Channel estimation; MIMO communication; Protocols; Wireless communication; Frequency estimation; Encryption; Optical receivers; Channel estimation; continuous variable quantum key distribution (CVQKD); multiple-input multiple-output (MIMO); terahertz (THz) communications; quantum communications; secret key rate

Funding

  1. Hong Kong Research Grants Council [C6012-20G]
  2. Science and Engineering Research Board (SERB), a Statutory Body of the Department of Science and Technology (DST), Government of India [SRG/2019/001234]
  3. Science and Engineering Research Board, a Statutory Body of the Department of Science and Technology, Government of India

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We study the secret key rate (SKR) of a multiple-input multiple-output (MIMO) continuous variable quantum key distribution (CVQKD) system operating at terahertz (THz) frequencies, accounting for the effects of channel estimation. We propose a practical channel estimation scheme for the THz MIMO CVQKD system and analyze the impact of channel estimation error and overhead. Our simulation results show that the SKR may significantly degrade at large transmission distances.
We study the secret key rate (SKR) of a multiple-input multiple-output (MIMO) continuous variable quantum key distribution (CVQKD) system operating at terahertz (THz) frequencies, accounting for the effects of channel estimation. We propose a practical channel estimation scheme for the THz MIMO CVQKD system which is necessary to realize transmit-receive beamforming between Alice and Bob. We characterize the input-output relation between Alice and Bob during the key generation phase, by incorporating the effects of additional noise terms arising due to the channel estimation error and detector noise. Furthermore, we analyze the SKR of the system and study the effect of channel estimation error and overhead. Our simulation results reveal that the SKR may degrade significantly as compared to the SKR upper bound that assumes perfect channel state information, particularly at large transmission distances.

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