Full-Duplex Cyber-Weapon With Massive Arrays

Nguyen, Nam-Phong; Ngo, Hien Quoc; Duong, Trung Q.; Tuan, Hoang Duong; Costa, Daniel Benevides da

doi:10.1109/tcomm.2017.2743208

Cited by 35 publications

(30 citation statements)

References 29 publications

(42 reference statements)

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“…Replacing (19) and (20) into (11), the OP of the considered HI-FD-MIMO relay system is derived as (12) in Theorem 1. The proof is complete.…”

Section: Theoremmentioning

confidence: 99%

“…Additionally, with the fast development of internet of things (IoT) and unmanned aerial vehicle (UAV) communication systems [7][8][9][10], FD can combine with many advanced techniques such as MIMO, nonorthogonal multiple access (NOMA) to enhance the performance of wireless systems. The combination of FD and MIMO techniques into wireless systems can significantly enhance the system capacity compared with traditional half-duplex (HD) or single-input single-output (SISO) systems [11][12][13]. However, using multiple radio frequency (RF) chains in MIMO systems causes difficulties in hardware deployment and signal processing, especially for small mobile users.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Imperfect Channel State Information, Transceiver Hardware, and Self-Interference Cancellation on the Performance of Full-Duplex MIMO Relay System

Nguyen

Thang

Tran

2020

Sensors

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Imperfect channel state information (I-CSI) and imperfect transceiver hardware often happen in wireless communication systems due to the time-varying and random characteristics of both wireless channels and hardware components. The impacts of I-CSI and hardware impairments (HI) reduce not only the system performance but also the self-interference cancellation (SIC) capability of full-duplex (FD) devices. To investigate the system performance in realistic scenarios, in this paper, we consider the performance of an FD multiple-input multiple-output (MIMO) relay system under the effects of I-CSI, imperfect SIC (I-SIC), and imperfect transceiver hardware. We mathematically derive the exact closed-form expressions of the outage probability (OP) and ergodic capacity of the considered HI-FD-MIMO relay system over Rayleigh fading channels with the existence of I-CSI, I-SIC, and HI. Numerical results indicate that the performance in terms of OP and capacity reaches saturation faster, especially when the channel estimation error, the residual self-interference (RSI), and HI levels are remarkable. Therefore, various solutions for effectively reducing the channel estimation error, RSI, and HI levels in the HI-FD-MIMO relay system should be carried out to improve the system performance. All derived mathematical expressions are verified through Monte-Carlo simulations.

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“…Replacing (19) and (20) into (11), the OP of the considered HI-FD-MIMO relay system is derived as (12) in Theorem 1. The proof is complete.…”

Section: Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Imperfect Channel State Information, Transceiver Hardware, and Self-Interference Cancellation on the Performance of Full-Duplex MIMO Relay System

Nguyen

Thang

Tran

2020

Sensors

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“…As a consequence, the eavesdropper can take advantage on this knowledge to successfully decode the transmitted information from the base station in the downlink transmission. Therefore, protecting the training phases from exposing to the illegitimate side is crucial [14], where deploying AN in protecting downlink training phase of massive MIMO network is promising.…”

Section: Introductionmentioning

confidence: 99%

Secure Massive MIMO With the Artificial Noise-Aided Downlink Training

Nguyen

Ngo

Duong

et al. 2018

IEEE J. Select. Areas Commun.

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This paper considers a massive MIMO network that includes one multiple-antenna base station, one multiple-antenna eavesdropper, and K single-antenna users. The eavesdropper operates in passive mode and tries to overhear the confidential information from one of the users in the down-link transmission. In order to secure the confidential information, two artificial noise (AN)-aiding schemes are proposed. In the first scheme, AN is injected into the downlink training signals to prevent the eavesdropper from obtaining the correct channel state information of the eavesdropping link. In the second scheme, AN is deployed in both downlink training phase and payload data transmission phase to further degrade the eavesdropping channel. Analytical expressions and tight approximations of the achievable secrecy rate of the considered systems are derived with taking imperfect channel estimation and two types of precoding, i.e., maximumratio-transmission and zero-forcing, into consideration. Optimization algorithms for power allocation are proposed to enhance the secrecy performance of the proposed AN-aiding schemes. The results reveal that deploying AN in the downlink training phase of massive MIMO networks does not affect the downlink channel estimation process at users while enabling the system to suppress the downlink channel estimation process at eavesdropper. As a consequence, the proposed AN-aided schemes improve the system performance significantly. Furthermore, implementing AN in both phases allows the considered system having a flexible solution to maximize its secrecy performance at the price of higher complexity.

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“…Alternatively, FD techniques were used in [12] to bridge the gap between the eavesdropper and legitimate receivers, but from the viewpoint of the adversary. Later, the results in [13] showed that when the legitimate user faces a FD attacker equipped with massive antennas, it is crucial to protect confidential message in the training phases for the legitimate transmitter. When the FD technology is deployed by the eavesdropper, using high power at the source does not enhance security of the protecting wireless communication.…”

Section: Introductionmentioning

confidence: 99%