Standardization Advances for Cellular and Wi-Fi Coexistence in the Unlicensed 5 and 6 GHz Bands

Sathya, Vanlin; Kala, Srikant Manas; Rochman, Muhammad Iqbal; Ghosh, Monisha; Roy, Sumit

doi:10.1145/3417084.3417086

Cited by 57 publications

(38 citation statements)

References 4 publications

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“…We apply a block fading channel model, where the channel states remain constant during the channel coherence time, and change to independent values afterward. Many wireless technologies implement channel sensing to minimize packet collisions [39], [40]. Therefore, it is relevant to investigate the impact of transmissions allowed only if the sensed channel activity is below a given threshold from the transmission power.…”

Section: B Sensitivity To Other System Modelsmentioning

confidence: 99%

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Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering

Schmidt

Schilcher

Atiq

et al. 2021

IEEE Trans. Veh. Technol.

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This article proposes and evaluates a technique to predict the level of interference in wireless networks. We design a recursive predictor that estimates future interference values by filtering measured interference at a given location. The predictor's parameterization is done offline by translating the autocorrelation of interference into an autoregressive moving average (ARMA) representation. This ARMA model is inserted into a steady-state Kalman filter enabling nodes to predict with low computational effort. Results show a good accuracy of predicted values versus true values for relevant time horizons. Although the predictor is parameterized for Poisson-distributed nodes, Rayleigh fading, and fixed message lengths, a sensitivity analysis shows that it also tends to work well in more general network scenarios. Numerical examples for underlay device-todevice communications, a common wireless sensor technology, and coexistence scenarios of Wi-Fi and LTE illustrate its broad applicability. The predictor can be applied as part of interference management to improve medium access, scheduling, and radio resource allocation.

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Section: B Sensitivity To Other System Modelsmentioning

confidence: 99%

“…A setup with multiple wireless technologies coexisting in the same band contributes to more efficient use of scarce resources (see [39], [40]). In this context, we explore how the proposed predictor is affected by interference from coexisting technologies not accounted for in its design.…”

Section: Evaluation For Coexisting Technologiesmentioning

confidence: 99%

Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering

Schmidt

Schilcher

Atiq

et al. 2021

IEEE Trans. Veh. Technol.

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“…As Ed-tech and M-learning applications see increased adoption, the licensed format may not suffice in catering to the data-demands of mobile virtual schools. A solution in that direction is enhanced spectrum usage by allowing multiple wireless technologies to coexist in the unlicensed 5GHZ band where 5000 MHz of the spectrum is open to all communication [4].…”

Section: A Review Of Wireless Network Technologiesmentioning

confidence: 99%

“…In areas where both technologies are available to Ed-tech applications, we can leverage the coexistence standards for optimal user-experience and affordable data costs. The two prominent LTE-WiFi coexistence frameworks are LTE-Unlicensed (LTE-U) and LTE-Licensed Assisted Access (LTE-LAA) [4]. Major industry players have already begun deploying the LAA networks in several major cities of the world, and Ed-tech applications will benefit from their proliferation.…”

Section: Introductionmentioning

confidence: 99%

The Review of Mobile Applications and Wireless Technologies in Sustaining K-12 Schools during COVID-19

Finch¹,

Kala²,

Sathya³

2021

ICST Transactions on Mobile Communications and Applications

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Mobile-learning (M-Learning) is no longer a futuristic concept in E-learning. The disruptions induced by the mandatory social distancing norms amidst the COVID-19 pandemic has brought it to the centre stage as it facilitates seamless delivery of education to mobile-users on the go. The ever increasing penetration of low-cost smartphones and remarkable advancement in wireless communication technologies has made M-learning ubiquitous and affordable. This paper highlights the roles that mass-adoption of mobile phone devices have played in sustaining K-12 schools. We review the impact that latest developments in communication technology and the deployment of LTE-WiFi coexistence, 5G, and Wi-Fi6 networks will have on M-learning applications. Further, we highlight the challenges that need to be addressed so that the higher penetration of mobile phones and deployment of wireless network technologies can be optimally harnessed for an improved M-learning experience.

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“…Most wireless technologies use the Sub6 frequency band, resulting in colliding signals in the crammed spectrum, which causes poor performance of the systems that rely on the use of the frequency resources, as seen in [2][3][4], where Wi-Fi and LTE signals coexist on the same frequency range. In order to deal with the situation, the 5G standard proposes using the mmWave spectrum, which is used mainly for satellite communications and radar systems and is not as overloaded as the Sub6 bands.…”

Section: Sub6 -Mmwavementioning

confidence: 99%

Design of 5G-oriented patch antennas, a comprehensive survey

Mongi¹,

Giacri²,

Tardivo³

et al. 2021

ICST Transactions on Mobile Communications and Applications

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With the advent of 5G, higher speeds, more connected users and lower latency are required. To accomplish such goals, new antennas compatible with 5G technology are necessary. Patch antennas, being made of resistant and cheap materials, easy to mass-produce and low profile, represent a solid candidate for deployment in a 5G scenario. This paper aims to serve as a comprehensive guide for designing an antenna using microstrip technology, oriented to provide 5G services. This paper proposes a top-down approach, explaining first the general concepts and orienting the study towards more specific subjects. The topics discussed are the underlying technologies of 5G, patch antennas, circular polarization and array theory. Each topic provides an explanation of its fundamental principles, with an approach intended to be comprehensive instead of technical, and focusing towards giving practical design considerations for a 5G-oriented antenna.

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Standardization Advances for Cellular and Wi-Fi Coexistence in the Unlicensed 5 and 6 GHz Bands

Cited by 57 publications

References 4 publications

Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering

Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering

The Review of Mobile Applications and Wireless Technologies in Sustaining K-12 Schools during COVID-19

Design of 5G-oriented patch antennas, a comprehensive survey

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