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Digital Communications and Networks 5 (2019) 237–244
Contents lists available at ScienceDirect
Digital Communications and Networks
journal homepage:
Secrecy sum-rate analysis of massive MIMO systems under dual-threat
attacks using normalization methods
Kishan Neupane, Rami J. Haddad *
Dept. of Electrical and Computer, Eng., Georgia Southern University, Statesboro, GA, 30460, USA
ARTICLE INFO ABSTRACT
Keywords: Massive Multiple Input Multiple Output (MIMO) has been considered as an emerging technology to enhance the
Massive MIMO spectral and energy efﬁciency for the upcoming wireless communication systems. This paper derives a closed-
Linear precoding form approximation for the Ergodic Achievable Secrecy Sum-Rate (EASSR) by considering the joint impact of
Normalization methods
eavesdroppers and jammers. Two widely used linear precoding techniques, Zero-Forcing (ZF) and Maximum Ratio
Secrecy analysis
Transmission (MRT), were used in conjunction with

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