Physical Layer Authentication for Massive MIMO Systems With Hardware Impairments

Zhang, Pinchang; Taleb, Tarik; Jiang, Xiaohong; Wu, Bin

doi:10.1109/twc.2019.2955128

Cited by 44 publications

(13 citation statements)

References 38 publications

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“…Instead, we take into account the additive distortions at both the transmitter and the receiver being Gaussian distributed with average powers proportional to the average transmit and received signals, respectively [23]. We would like to mention that although Gaussian modeling for the HWIs can be assumed rudimentary, it is used widely because its tractability allows extracting primary conclusions, e.g., see the recent works [39], [40]. The Gaussianity results by means of the aggregate contribution of many impairments.…”

Section: ) T-hwismentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted MU-MISO Systems With Imperfect Hardware: Channel Estimation and Beamforming Design

Papazafeiropoulos

Pan

Kourtessis

et al. 2022

IEEE Trans. Wireless Commun.

114

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Intelligent reflecting surface (IRS), consisting of lowcost passive elements, is a promising technology for improving the spectral and energy efficiency of the fifth-generation (5G) and beyond networks. It is also noteworthy that an IRS can shape the reflected signal propagation. Most works in IRSassisted systems have ignored the impact of the inevitable residual hardware impairments (HWIs) at both the transceiver hardware and the IRS while any relevant works have addressed only simple scenarios, e.g., with single-antenna network nodes and/or without taking the randomness of phase noise at the IRS into account. In this work, we aim at filling up this gap by considering a general IRS-assisted multi-user (MU) multiple-input single-output (MISO) system with imperfect channel state information (CSI) and correlated Rayleigh fading. In parallel, we present a general computationally efficient methodology for IRS reflect beamforming (RB) optimization. Specifically, we introduce an advantageous channel estimation (CE) method for such systems accounting for the HWIs. Moreover, we derive the uplink achievable spectral efficiency (SE) with maximal-ratio combining (MRC) receiver, displaying three significant advantages being: 1) its closed-form expression, 2) its dependence only on large-scale statistics, and 3) its low training overhead. Notably, by exploiting the first two benefits, we achieve to perform optimization with respect to the that can take place only at every several coherence intervals, and thus, reduces significantly the computational cost compared to other methods which require frequent phase optimization. Among the insightful observations, we highlight that uncorrelated Rayleigh fading does not allow optimization of the SE, which makes the application of an IRS ineffective. Also, in the case that the phase drifts, describing the distortion of the phases in the RBM, are uniformly distributed, the presence of an IRS provides no advantage. The analytical results outperform previous works and are verified by Monte-Carlo (MC) simulations.

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Section: ) T-hwismentioning

confidence: 99%

Intelligent Reflecting Surface-Assisted MU-MISO Systems With Imperfect Hardware: Channel Estimation and Beamforming Design

Papazafeiropoulos

Pan

Kourtessis

et al. 2022

IEEE Trans. Wireless Commun.

114

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“…The accessing frequencies of legitimate devices always need to be identical to their unique pseudo-random binary number (PBN). The PBN of a device-Edge pair is generated by using the unique characteristics and attributes of the physical layer [28], [29], extracted through p-KNN [30] as shown in Fig. 3.…”

Section: A Lightweight Authentication Approachmentioning

confidence: 99%

A Secured Framework for SDN-Based Edge Computing in IoT-Enabled Healthcare System

et al. 2020

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The Internet of Things (IoT) consists of resource-constrained smart devices capable to sense and process data. It connects a huge number of smart sensing devices, i.e., things, and heterogeneous networks. The IoT is incorporated into different applications, such as smart health, smart home, smart grid, etc. The concept of smart healthcare has emerged in different countries, where pilot projects of healthcare facilities are analyzed. In IoT-enabled healthcare systems, the security of IoT devices and associated data is very important, whereas Edge computing is a promising architecture that solves their computational and processing problems. Edge computing is economical and has the potential to provide low latency data services by improving the communication and computation speed of IoT devices in a healthcare system. In Edge-based IoT-enabled healthcare systems, load balancing, network optimization, and efficient resource utilization are accurately performed using artificial intelligence (AI), i.e., intelligent software-defined network (SDN) controller. SDN-based Edge computing is helpful in the efficient utilization of limited resources of IoT devices. However, these low powered devices and associated data (private sensitive data of patients) are prone to various security threats. Therefore, in this paper, we design a secure framework for SDN-based Edge computing in IoT-enabled healthcare system. In the proposed framework, the IoT devices are authenticated by the Edge servers using a lightweight authentication scheme. After authentication, these devices collect data from the patients and send them to the Edge servers for storage, processing, and analyses. The Edge servers are connected with an SDN controller, which performs load balancing, network optimization, and efficient resource utilization in the healthcare system. The proposed framework is evaluated using computer-based simulations. The results demonstrate that the proposed framework provides better solutions for IoT-enabled healthcare systems.

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“…Inspired by these works, a lot of researchers have devoted their efforts to exploring the security issues in large-scale wireless networks. For instance, the secure routing protocols were investigated in [14][15][16], the design of effective physical layer authentication schemes was analysed in [17][18][19], the security performances in terms of secrecy throughput capacity and eavesdropper-tolerance capability were explored in [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Secrecy transmission capacity in mobile ad hoc networks with security‐aware Aloha protocol

Li¹,

Zhang

Shen

et al. 2020

IET Communications

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Mobile ad hoc networks (MANETs) represent a class of important network models for supporting various critical applications, while the security breach due to eavesdropping attacks has been a critical issue. This study investigates the security issue of MANETs from the perspective of physical layer security (PLS). In particular, by combining PLS techniques [e.g. artificial noise (AN) injection and Secrecy Guard zoNe (SGN)] and the conventional Aloha protocol, the authors first propose an AN-based Aloha protocol and a SGN-based Aloha protocol to ensure secure medium access for legitimate transmitters. In the AN-based Aloha protocol, all potential transmitters are allowed to be active and each active transmitter injects AN into its transmitted signals to confuse eavesdroppers. In the SGN-based protocol, each potential transmitter has an SGN, a circle centred at itself, and only the potential transmitters whose SGN contains no eavesdroppers are allowed to be active. To understand the security performances of the proposed security-aware Aloha protocols, the authors then apply tools from Stochastic Geometry to analyse the secrecy transmission capacity (STC) performances of MANETs under both protocols. Finally, the authors provide simulation/numerical results to corroborate the proposed theoretical analysis and also to show the impacts of network parameters on the STC performances.

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Physical Layer Authentication for Massive MIMO Systems With Hardware Impairments

Cited by 44 publications

References 38 publications

Intelligent Reflecting Surface-Assisted MU-MISO Systems With Imperfect Hardware: Channel Estimation and Beamforming Design

Intelligent Reflecting Surface-Assisted MU-MISO Systems With Imperfect Hardware: Channel Estimation and Beamforming Design

A Secured Framework for SDN-Based Edge Computing in IoT-Enabled Healthcare System

Secrecy transmission capacity in mobile ad hoc networks with security‐aware Aloha protocol

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