Data-Aided Secure Massive MIMO Transmission with Active Eavesdropping

Wu Y, Wen CK, Chen W, Jin S, Schober R, Caire G (2018)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2018

Event location: Kansas City, MO US

ISBN: 978-1-5386-3180-5

DOI: 10.1109/ICC.2018.8422338

Abstract

In this paper, we study the design of secure communication for time division duplexing multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdropping. We assume that the eavesdropper actively attacks the uplink pilot transmission and the uplink data transmission before eavesdropping the downlink data transmission phase of the desired users. We exploit both the received pilots and data signals for uplink channel estimation. We show analytically that when the number of transmit antennas and the length of the data vector both tend to infinity, the signals of the desired user and the eavesdropper lie in different eigenspaces of the received signal matrix at the base station if their signal powers are different. This finding reveals that decreasing (instead of increasing) the desire user's signal power might be an effective approach to combat a strong active attack from an eavesdropper. Inspired by this result, we propose a data-aided secure downlink transmission scheme and derive an asymptotic achievable secrecy sum-rate expression for the proposed design. Numerical results indicate that under strong active attacks, the proposed design achieves significant secrecy rate gains compared to the conventional design employing matched filter precoding and artificial noise generation.

Authors with CRIS profile

Yongpeng Wu Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

Southeast University / 东南大学 CN China (CN) Shanghai Jiao Tong University / 上海交通大学 CN China (CN) Institut Eurécom (EURECOM) FR France (FR) National Sun Yat-sen University TW Taiwan (TW)

How to cite

APA:

Wu, Y., Wen, C.-K., Chen, W., Jin, S., Schober, R., & Caire, G. (2018). Data-Aided Secure Massive MIMO Transmission with Active Eavesdropping. In IEEE (Eds.), Proceedings of the 2018 IEEE International Conference on Communications (ICC). Kansas City, MO, US.

MLA:

Wu, Yongpeng, et al. "Data-Aided Secure Massive MIMO Transmission with Active Eavesdropping." Proceedings of the 2018 IEEE International Conference on Communications (ICC), Kansas City, MO Ed. IEEE, 2018.

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