Minimizing Wi-Fi Latency With Unlicensed LTE Opportunistic White-Space Utilization

Rastegardoost, Nazanin; Jabbari, Bijan

doi:10.1109/twc.2019.2899312

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…When we record CSI data using the commercial Intel 5300 network interface card, there are numerous challenges presented by the device. First and foremost are the latency and time taken when a single CSI packet is received [40]. The CSI can be measured through received RF signal energy or increasing the sliding window by setting the receiving data.…”

Section: Wifi Sensing System Modelmentioning

confidence: 99%

Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia

et al. 2021

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The Kingdom of Saudi Arabia has suffered from COVID-19 disease as part of the global pandemic due to severe acute respiratory syndrome coronavirus 2. The economy of Saudi Arabia also suffered a heavy impact. Several measures were taken to help mitigate its impact and stimulate the economy. In this context, we present a safe and secure WiFi-sensing-based COVID-19 monitoring system exploiting commercially available low-cost wireless devices that can be deployed in different indoor settings within Saudi Arabia. We extracted different activities of daily living and respiratory rates from ubiquitous WiFi signals in terms of channel state information (CSI) and secured them from unauthorized access through permutation and diffusion with multiple substitution boxes using chaos theory. The experiments were performed on healthy participants. We used the variances of the amplitude information of the CSI data and evaluated their security using several security parameters such as the correlation coefficient, mean-squared error (MSE), peak-signal-to-noise ratio (PSNR), entropy, number of pixel change rate (NPCR), and unified average change intensity (UACI). These security metrics, for example, lower correlation and higher entropy, indicate stronger security of the proposed encryption method. Moreover, the NPCR and UACI values were higher than 99% and 30, respectively, which also confirmed the security strength of the encrypted information.

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Section: Wifi Sensing System Modelmentioning

confidence: 99%

Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia

et al. 2021

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show abstract

“…Bairagi, et al formulated an optimization problem with the goal of maximizing the sum-rate of LTE-U users to ensure LTE-U coexist with Wi-Fi, and proposed a cooperative Nash bargaining game to solve the coexistence between LTE-U and Wi-Fi systems and presented a one-sided matching game to solve the resource allocation problem in LTE-U [28]. Rastegardoost et al developed a model that LTE-U estimated and used the white space of Wi-Fi transmission to transmit data on unlicensed spectrums [29]. These studies can ensure the coexistence for Wi-Fi and LTE systems while guaranteeing the transmission quality of Wi-Fi networks but without considering the service quality of LTE-U.…”

Section: Related Workmentioning

confidence: 99%

Efficient and fair Wi-Fi and LTE-U coexistence via communications over content centric networking

Chi

Yin

et al. 2020

Future Generation Computer Systems

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Modeling the Performance of IEEE 802.11ac WLAN Network for Remote Visual SLAM

Mamchenko

2023

2023 16th International Conference Management of Large-Scale System Development (MLSD)

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Minimizing Wi-Fi Latency With Unlicensed LTE Opportunistic White-Space Utilization

Cited by 5 publications

References 34 publications

Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia

Noninvasive Detection of Respiratory Disorder Due to COVID-19 at the Early Stages in Saudi Arabia

Efficient and fair Wi-Fi and LTE-U coexistence via communications over content centric networking

Modeling the Performance of IEEE 802.11ac WLAN Network for Remote Visual SLAM

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