English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In this paper, we study the design of secure communication for time divisionduplexing multi-cell multi-user massive multiple-input multiple-output (MIMO)systems with active eavesdropping. We assume that the eavesdropper activelyattacks the uplink pilot transmission and the uplink data transmission beforeeavesdropping the downlink data transmission phase of the desired users. Weexploit both the received pilots and data signals for uplink channelestimation. We show analytically that when the number of transmit antennas andthe length of the data vector both tend to infinity, the signals of the desireduser and the eavesdropper lie in different eigenspaces of the received signalmatrix at the base station if their signal powers are different. This findingreveals that decreasing (instead of increasing) the desire user's signal powermight be an effective approach to combat a strong active attack from aneavesdropper. Inspired by this result, we propose a data-aided secure downlinktransmission scheme and derive an asymptotic achievable secrecy sum-rateexpression for the proposed design. Numerical results indicate that understrong active attacks, the proposed design achieves significant secrecy rategains compared to the conventional design employing matched filter precodingand artificial noise generation.

Data-Aided Secure Massive MIMO Transmission with Active Eavesdropping