Transmissive Metasurfaces Assisted Wireless Communications on Railways: Channel Strength Evaluation and Performance Analysis

Lin, Junliang; Wang, Gongpu; Atapattu, Saman; He, Ruisi; Yang, Gang; Tellambura, Chintha

doi:10.1109/tcomm.2023.3239932

Cited by 11 publications

(4 citation statements)

References 50 publications

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“…In system performance analysis, it is generally hard to obtain a closed-form SER or bit error rate (BER) performance expression due to the involved transcendental functions such as exponential integral functions [19]. In order to tackle this issue, moment generating function (MGF) is introduced, which concerns the Marcum Q-function with the closed-loop integral.…”

Section: B Related Work and Motivationmentioning

confidence: 99%

SER performance analysis of generalized κ — μ and η — μ fading channels

Guo,

Zhang,

You

et al. 2024

J. Commun. Netw.

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System performance analysis is a vital issue in the fifth generation (5G) and beyond wireless communications, which is widely adopted for the design and estimation of wireless communication systems before deployments. To this end, the versatile system performance expressions that can be used under various conditions are of significant importance. This paper investigates the symbol error rate (SER) performance over the generalized κ − µ and η − µ fading channels, whereby the SER expressions in this case are versatile and can characterize the performance under various wireless channel models. To address the computational complexity associated with highorder trigonometric integration, we present the closed-form SER expressions with arbitrary small errors. Monte Carlo-based simulations demonstrate the validity of our derivation and analysis. Simulation results also show that: 1) the closed-form solutions we derived for SER yield minimal errors upon variations in the truncation factor T and are computationally more efficient, in which T can be set to a minimal value to attain precise outcomes or be optimally chosen contingent on the channel parameters; 2) elevating the values of parameters κ, µ and η results in decreased SER, with µ exerting a more significant impact than κ and η; and 3) our approximate expressions have superior accuracy compared to the previous estimated expressions.

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Section: B Related Work and Motivationmentioning

confidence: 99%

SER performance analysis of generalized κ — μ and η — μ fading channels

Guo,

Zhang,

You

et al. 2024

J. Commun. Netw.

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“…where K X is shown in (9). Referring to [28], the Rician K factor of the standard backscatter system is defined as:…”

Section: Brief Overview Of Standard Channelsmentioning

confidence: 99%

“…Backscatter communication originated from World War II. Various backscatter communication systems have been proposed, such as bistatic backscatter [7], ambient backscatter [8,9], reconfigurable intelligent surface [10] and retrodirective arrays [11], to enhance coverage, reliability, and communication range.…”

Section: Introductionmentioning

confidence: 99%

Channel estimation for backscatter communication systems with retrodirective arrays

Mu,

Yao,

Fan

et al. 2024

IET Communications

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Backscatter communications, which originated from World War II, have been widely applied in the logistics domain, and recently attract emerging interest from both academic and industrial circles. Here, the backscatter communication systems equipped with retrodirective arrays that can re‐transmit the impinging signals back toward the direction of incidence are studied so as to reduce the power loss of the signals. Specifically, the authors consider the tag is equipped with retrodirective arrays to improve reliability and enhance communication range. The probability density function of channel coefficients is then derived. Next, a channel estimator based on Bayesian theory is proposed to acquire the modulus values of channel parameters and calculate its Bayesian Cramer–Rao Lower Bound. Finally, simulation results are provided to corroborate these theoretical studies.

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“…In recent years, artificial intelligence (AI) has made remarkable progress in fields such as image and speech recognition, natural language processing, machine translation, autonomous driving, and intelligent gaming [1][2][3]. Meanwhile, with the development of new technologies such as deep learning and reinforcement learning, the scope and practicality of AI have been further expanded, which has not only driven the upgrading and transformation of traditional industries but also brought many new business opportunities and social benefits [4,5].…”

Section: Introductionmentioning

confidence: 99%

Research on Intrusion Detection Technology of Computing Nodes in Digital Power Grid based on Artificial Intelligence

Lin

Zhang

et al. 2023

EAI Endorsed Scal Inf Syst

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This paper aims to investigate an intrusion detection network for digital power grid networks, which consists of an edge server and two computational nodes that work collaboratively to detect any potential intrusion in the network. The primary objective of this study is to enhance the effectiveness of intrusion detection in the network. To achieve this objective, we first define the outage probability of the intrusion detection system under consideration. This is done to provide a measure of the probability that the system fails to detect an intrusion when it occurs. We then derive a closed-form expression for the outage probability to enable further analysis on the system behavior. Since the system resources, such as transmit power, are limited, we further design a transmit power allocation strategy to improve the system performance. This strategy seeks to optimize the allocation of transmit power across the different nodes of the intrusion detection network to maximize the likelihood of detecting intrusions while minimizing the resource usage. Finally, to evaluate the performance of the proposed system, we conduct simulations and provide results that demonstrate the accuracy of the closed-form expression and the effectiveness of the transmit power allocation strategy. These simulation results serve as evidence of the efficacy of the proposed approach in detecting intrusions in a resource-constrained network, especially for the digital power grid networks.

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Transmissive Metasurfaces Assisted Wireless Communications on Railways: Channel Strength Evaluation and Performance Analysis

Cited by 11 publications

References 50 publications

SER performance analysis of generalized κ — μ and η — μ fading channels

SER performance analysis of generalized κ — μ and η — μ fading channels

Channel estimation for backscatter communication systems with retrodirective arrays

Research on Intrusion Detection Technology of Computing Nodes in Digital Power Grid based on Artificial Intelligence

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