On the Secure Spectral Efficiency of URLLC With Randomly Located Colluding Eavesdroppers

Farhat, Jamil; Brante, Glauber; Souza, Richard Demo; Vilela, João P.

doi:10.1109/jiot.2021.3071591

Cited by 10 publications

(4 citation statements)

References 38 publications

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“…Despite the improved coexistence provided by the detect and avoid (DAA) mechanism, collisions between competing wireless nodes and networks are still possible. A medium sense, in addition to collisions, introduces latency and non-determinism as a result of medium congestion [192]. The aforementioned facts greatly limit the use of wireless solutions for closed-loop control applications in the automation industry.…”

Section: A Performance Trade-off Between Urllc and Embbmentioning

confidence: 99%

“…commercial networks of 802.15.4 in B5G-IIoT exclude forward error correction (FEC) due to energy consumption in the decoding process. However, adopting FEC should lower overall energy consumption because less energy is wasted on retransmissions and rescheduling [192] and latency can be addressed as a function of frame size. However, MAC configuration has a significant impact on energy consumption because it specifies scheduling and, as a result, radio on and off instances [195].…”

Section: A Performance Trade-off Between Urllc and Embbmentioning

confidence: 99%

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URLLC and eMBB in 5G Industrial IoT: A Survey

Khan

Jangsher

Ahmed

et al. 2022

IEEE Open J. Commun. Soc.

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Fifth generation (5G)-industrial Internet of things (IIoT) is the integration of IIoT and a private 5G network. The IIoT is a concept that involves incorporating smart objects, gadgets, and solutions into cutting-edge industrial operations to increase reliability, efficiency, and over-production costs. Furthermore, the integration of IIoT and 5G/beyond 5G (B5G) provides the potential for ubiquitous and instantaneous connectivity. The 5G architecture can handle the IIoT's stringent ultra-low latency, real-time processing, high data rate, nearby storage, and reliability requirements. A new era of economic growth is predicted for IIoT-assisted 5G/B5G wireless networks. It should be noted that the majority of the work in IIoT is focused on the architecture, with reliability and throughput being largely ignored. This paper provides a comprehensive review of B5G assisted IIoT wireless networks, with a focus on enhanced mobile broadband (eMBB) and ultra-reliable low latency communication (URLLC) services. Furthermore, it provides insights into various applications and key enabling technologies from the perspective of URLLC, eMBB, and their tradeoff.Index Terms-Fifth generation (5G), beyond 5G (B5G), sixth generation (6G), industrial Internet of things (IIoT), ultrareliable low latency communication (URLLC), enhanced mobile broadband (eMBB). I. INTRODUCTIONT HE emergence of industrial Internet of things (IIoT) has revolutionized industrial operations such as manufacturing and production by automating a huge number of connected components and devices. IIoT is a sub-category of Internet of things (IoT) that focuses on the use of IoT techniques and technologies [1]-[4] in industries such as smart cities, smart transportation, smart grid, smart health services, forestry, food, weather, agriculture, monitoring, and surveillance [5]-[18]. The machines/devices in IIoT are connected to capture smartness and autonomy in legacy systems [19]-[21]. It is estimated that by the end of 2030, roughly 80 billion devices will be connected to the Internet [22]-[24]. In IIoT, an increased degree of connectivity is involved, which has special requirements for high reliability, low latency, high speed, more flexibility, and secure communication [25]-[27].

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Section: A Performance Trade-off Between Urllc and Embbmentioning

confidence: 99%

Section: A Performance Trade-off Between Urllc and Embbmentioning

confidence: 99%

URLLC and eMBB in 5G Industrial IoT: A Survey

Khan

Jangsher

Ahmed

et al. 2022

IEEE Open J. Commun. Soc.

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“…The authors in [ 9 ] considered a multiuser downlink network in the presence of an eavesdropper and developed efficient methods to solve the total transmit power minimization and weighted throughput maximization problems. Packet replication and interface diversity schemes were employed in [ 14 ] to improve the secure spectral efficiency, where eavesdroppers are randomly distributed according to Poisson point processes. In [ 15 ], the spectrum sensing blocklength and transmission blocklength were jointly optimized to maximize the secrecy throughput.…”

Section: Introductionmentioning

confidence: 99%

Optimal Channel Training Design for Secure Short-Packet Communications

Chen

Hu³

et al. 2023

Sensors

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Physical layer security is a promising technique to ensure the confidentiality of short-packet communications, since no additional channel uses are needed. Motivated by the fact of finite coding blocklength in short-packet communications, we attempt to investigate the problem of how many the channel uses utilized for channel training should be allocated to perform secure communications. Based on the finite blocklength information theory, we derive a closed-form expression to approximate the average achievable secrecy throughput. To gain more insights, we also present the asymptotic average secrecy throughput under two special cases, i.e., high signal-to-noise ratio (SNR) and infinite blocklength. Moreover, we determine the optimal channel training length to maximize the average secrecy throughput under the reliability constraint and given blocklength. Numerical results are provided to validate the analysis and demonstrate that the performance gain achieved by the optimal channel training length is remarkable, relative to other benchmark schemes.

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“…Conventionally, security for IoT is addressed by cryptographic techniques. The encryptionbased security techniques have inherent high complexity in secret key generation, distribution, and management, which makes it difficult to apply for IoT networks with many resource-constrained sensors and actuators [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Multi-Antenna Jammer-Assisted Secure Short Packet Communications in IoT Networks

Chen,

Li,

et al. 2023

Future Internet

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In this work, we exploit a multi-antenna cooperative jammer to enable secure short packet communications in Internet of Things (IoT) networks. Specifically, we propose three jamming schemes to combat eavesdropping, i.e., the zero forcing beamforming (ZFB) scheme, null-space artificial noise (NAN) scheme, and transmit antenna selection (TAS) scheme. Assuming Rayleigh fading, we derive new closed-form approximations for the secrecy throughput with finite blocklength coding. To gain further insights, we also analyze the asymptotic performance of the secrecy throughput in the case of infinite blocklength. Furthermore, we investigate the optimization problem in terms of maximizing the secrecy throughput with the latency and reliability constraints to determine the optimal blocklength. Simulation results validate the accuracy of the approximations and evaluate the impact of key parameters such as the jamming power and the number of antennas at the jammer on the secrecy throughput.

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On the Secure Spectral Efficiency of URLLC With Randomly Located Colluding Eavesdroppers

Cited by 10 publications

References 38 publications

URLLC and eMBB in 5G Industrial IoT: A Survey

URLLC and eMBB in 5G Industrial IoT: A Survey

Optimal Channel Training Design for Secure Short-Packet Communications

Multi-Antenna Jammer-Assisted Secure Short Packet Communications in IoT Networks

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