Efficient resource allocation in the IEEE 802.11ax network leveraging OFDMA technology

Islam, Gazi Zahirul; Kashem, Mohammod Abul

doi:10.1016/j.jksuci.2020.10.019

Cited by 4 publications

(11 citation statements)

References 14 publications

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“…Thus, the system can alert users who are residing within certain ranges of the system without having cellular connectivity and internet connections. It is noted that the range of Bluetooth is around 10 meters and that of Wi-Fi is around 100 meters [25]- [27]. For industrial purposes, robots and small firefighter cars can be introduced for detecting multiple gas concentrations as well as extinguishing fires [28], [29].…”

Section: Further Developmentmentioning

confidence: 99%

IoT-Based Intelligent Gas Leakage Detection and Fire Protection System

Islam

Hossain

Faruk

et al. 2022

Int. J. Interact. Mob. Technol.

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Gas Leakage and its fatal effects are a great concern throughout the world, especially in developing countries like Bangladesh. Every year lots of people died and countless damages to assets occur due to the fire caused by the gas leakage. Not only that but gas leakage and explosion are also very harmful to the climate. Thus, a system to detect gas leakage and preventive measures is of utmost importance. In this project, we design and implement an intelligent IoT prototype to detect gas leakage, and the fire caught by gas leakage. Our goal is to minimize the effect of gas leakage by taking some protective measures. When the gas sensor, detects the gas leakage, the solenoid valve shuts off the gas line, and the exhaust fan starts to run. Again, when the flame sensor detects a fire, the sucker throws the fire extinguisher balls to the fire. The GSM SIM module notifies the user by sending a message to his smartphone. The buzzer sounds when a mishap occurs and the LCD monitor always shows the status of the system. In this way, we have efficiently designed and implemented a low-cost and intelligent gas leak detection and fire suppression system.

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Section: Further Developmentmentioning

confidence: 99%

IoT-Based Intelligent Gas Leakage Detection and Fire Protection System

Islam

Hossain

Faruk

et al. 2022

Int. J. Interact. Mob. Technol.

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“…An algorithm for OFDMA signal generation and transmission over channel fading environment is presented in Fig. (1). This algorithm depends on Discrete Sine Transform (DST) and HOS for reconstruction filter and upconverter steps.…”

Section: Ofdma Modulation Algorithmmentioning

confidence: 99%

“…Moreover, the OFDMA signal amplitude for PSK is higher than QAM. The effect of the modulation technique on the HPA output is computed by statistical comparison between PSK and QAM modulation techniques as depicted in Table (1). It is shown that the amplitude of the OFDMA signal increases with HPA.…”

Section: Ofdma Signal Recovery After Hpamentioning

confidence: 99%

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Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Emarah

Tokhy

Kasban

2021

Arab Journal of Nuclear Sciences and Applications

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This paper focuses on overcoming the high Peak to Average Power Ratio challenging within Orthogonal Frequency Division Multiplexing Asynchronous (OFDMA) communication system. This signal is modulated using differential phase-shift keying and quadrature amplitude modulation techniques. It is degraded under different noise attacks. Signal recovery algorithms are supposed for overcoming the high peak power problem. This issue is resolved through the detection of maximum peaks within threshold peak values of the power amplifier output signal. Additionally, these peaks are identified depending on the extracted power density and order statistics features. This system is trained using an artificial neural network under different channel impairments. Besides, the error rate of this network is computed in presence of different channel fadings. Rayleigh fading imposes the best performance for the transmitted OFDMA signal. Moreover, recognition of 100% is attained using the high order statistics compared to the power density features in presence of noise attacks.

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“…Orthogonal Frequency Division Multiple Access (OFDMA) [5][6][7] is a multi-user version of the well-known Orthogonal Frequency Division Multiplexing (OFDM) technology. In the OFDM variant, the modulation simply provides a good and stable communication channel.…”

Section: Introductionmentioning

confidence: 99%

Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

Kovtun,

Altameem,

Al-Maitah

et al. 2023

Electronics

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In Wi-Fi standards, a relatively narrow range of frequency spectrums is declared as working, on the operation of which additional restrictions are imposed in different countries. When creating dense wireless network ecosystems focused on massive information traffic, this circumstance causes significant interference even in the case of using Wi-Fi 6/6E-compatible equipment. An effective solution to this problem is the implementation of a centralized management mechanism for the relevant parameters of the target network ecosystem. The growing attention to ecology and rational use of electricity makes the problem of maximizing energy consumption for useful information traffic in a dense Wi-Fi 6/6E ecosystem an urgent task. Only the addressed information traffic between the transmitter and the target subscriber, which are subjects of the OFDMA technology and the MU-MIMO multiple access system (with an emphasis on the latter), is considered useful. To solve the problem, the authors formalized the Wi-Fi 6/6E ecosystem’s energy consumption model, which takes into account the specifics of OFDMA and MU-MIMO, the influence of the communication channel characteristics on the speed of target information transfer, and detailed energy consumption for maintaining the network infrastructure in a functional state. Based on the created model, the research problem is represented by the difference between two monotonic functions, relative to which the problem of optimization with restrictions is set. The process of solving this problem is presented in the form of information technology with a branch-and-bound hierarchy and a nested unconditional optimization problem. The results of simulated modelling in the MATLAB-NS3 environment showed a significant advantage of the authors’ approach. The energy power consumption by the Wi-Fi 6/6E ecosystem, the parameters of which were adjusted with the help of the authors’ information technology, decreased by more than four times.

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Efficient resource allocation in the IEEE 802.11ax network leveraging OFDMA technology

Cited by 4 publications

References 14 publications

IoT-Based Intelligent Gas Leakage Detection and Fire Protection System

IoT-Based Intelligent Gas Leakage Detection and Fire Protection System

Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

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