Capture Effect in the FSA-Based Networks under Rayleigh, Rician and Nakagami-m Fading Channels

Ultrahigh frequency wireless signals are mainly influenced by the geomorphological environment during the transmission process, resulting in fading channels, especially in mountainous regions. The experiment was conducted in the Karst landform of Guizhou Province, China, in order to explore fading distribution characteristics for mainly analyzing electro magnetic compatibility (EMC) specialties between Five-hundred-meter Aperture Spherical Radio Telescope (FAST) and wireless radiation equipment around radio quiet zone of this telescope. Based on the channel variation data of six frequencies, which are mainly used by the electrical and electronic equipment of public facilities around FAST, the fading distribution was analyzed by using the Kolmogorov-Smirnov statistic method. And finally we determined the optimal distribution model with the fading range, fading depth, and fading rate. The results show that (1) the polarization type and signal frequency have a definite influence on the fading distribution types in the Karst landform; (2) Rice distribution is the optimal and stable distribution model in the Karst landform, and the log-normal distribution model is proposed to characterize the Rice K-factor distribution; and (3) the line-of-sight (LoS) components of the normalized envelopes are 0.6837, 0.8939, 0.5963, 0.6332, 0.5516, and 0.4806. And the multipath scattered components of those are 0.2134, 0.0630, 0.2436, 0.2224, 0.2678, and 0.2880. The research results provide a potential support for the deployment and optimization of wireless communication networks in Karst landform, especially around radio quiet zone of FAST.

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“…where σ 2 is the time average power of the multipath signal with non-line-of-sight (NLoS) path (Wang et al, 2018).…”

Section: Fading Distribution Modelsmentioning

confidence: 99%

Research on Fading Characteristics of Ultrahigh Frequency Signals in Karst Landform Around Radio Quiet Zone of FAST

Wang¹,

Shi

Yang³

et al. 2020

Radio Science

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“…When competing users have similar power levels, access fails; however, when one user's power level significantly exceeds that of the others in competition, it successfully accesses while others fail to do so. This phenomenon is known as the capture effect [8,9]. The prudent utilization of the capture effect can thus augment the probability of user access.…”

Section: Introductionmentioning

confidence: 99%

A Novel Framed Slotted Aloha Medium Access Control Protocol Based on Capture Effect in Vehicular Ad Hoc Networks

Lai,

Song,

2024

Sensors

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The capture effect is a frequently observed phenomenon in vehicular ad hoc networks (VANETs) communication. When conflicts arise during time slot access, failure to access does not necessarily occur; instead, successful access may still be achieved. The capture effect can enhance the likelihood of multiple access and improve communication efficiency. The security of VANETs communication is undoubtedly the primary concern. One crucial approach to enhance security involves the design of an efficient and reliable medium access control (MAC) protocol. Taking into account both aspects, we propose a novel framed slotted Aloha (FSA) MAC protocol model. Firstly, we derive the closed-form expression for the capture probability in the Rician fading channel in this paper. Subsequently, we analyze how the number of vehicles and time slots influence the success probability of vehicle access channels as well as examine the impact of the capture effect on this success probability. Then, under constraints regarding vehicle access channel success probability, we derive optimal values for slot numbers, access times, and transmission power while proposing a comprehensive implementation method to ensure high access channel success probabilities. We verify both theoretical derivations and proposed methods through simulation experiments.

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Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks

Xu,

Song,

Sun

et al. 2023

Sensors

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Passive radio-frequency identification (RFID) systems have been widely applied in different fields, including vehicle access control, industrial production, and logistics tracking, due to their ability to improve work quality and management efficiency at a low cost. However, in an intersection situation where tags are densely distributed with vehicle gathering, the wireless channel becomes extremely complex, and the readers on the roadside may only decode the information from the strongest tag due to the capture effect, resulting in tag misses and considerably reducing the performance of tag identification. Therefore, it is crucial to design an efficient and reliable tag-identification algorithm in order to obtain information from vehicle and cargo tags under adverse traffic conditions, ensuring the successful application of RFID technology. In this paper, we first establish a Nakagami-m distributed channel capture model for RFID systems and provide an expression for the capture probability, where each channel is modeled as any relevant Nakagami-m distribution. Secondly, an advanced capture-aware tag-estimation scheme is proposed. Finally, extensive Monte Carlo simulations show that the proposed algorithm has strong adaptability to circumstances for capturing under-fading channels and outperforms the existing algorithms in terms of complexity and reliability of tag identification.

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Capture Effect in the FSA-Based Networks under Rayleigh, Rician and Nakagami-m Fading Channels

Cited by 3 publications

References 30 publications

Research on Fading Characteristics of Ultrahigh Frequency Signals in Karst Landform Around Radio Quiet Zone of FAST

Research on Fading Characteristics of Ultrahigh Frequency Signals in Karst Landform Around Radio Quiet Zone of FAST

A Novel Framed Slotted Aloha Medium Access Control Protocol Based on Capture Effect in Vehicular Ad Hoc Networks

Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks

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