On the Impact of LTE-U on Wi-Fi Performance

Babaei, Alireza; Andreoli-Fang, Jennifer; Pang, Yimin; Hamzeh, Belal

doi:10.1007/s10776-015-0288-6

Cited by 54 publications

(64 citation statements)

References 6 publications

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“…Wi-Fi/LTE [119]- [136] Wi-Fi: CSMA/CA; LTE: none -distributed [125], [129] Wi-Fi: CSMA/CA; both: channel allocation (random [125], [129]; graph coloring [125]; avoid occupied channels [129]) -distributed [125], [129]; coordinated [125] [137], [138] both: spectrum splitting between technologies (subcarrier granularity [138]) -likely cooperative [137]; cooperative [138] [139] Wi-Fi: CSMA/CA; LTE: power control in the uplink -distributed [140] Wi-Fi: modified CSMA/CA both: decoding colocated LTE and Wi-Fi receivers [141] Wi-Fi: CSMA/CA LTE: beamforming distributed; LTE nodes also have 802.11 receivers…”

Section: B Coexistence Among Broadband Technologiesmentioning

confidence: 99%

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Survey of Spectrum Sharing for Inter-Technology Coexistence

Voicu

Simić

Petrova

2019

IEEE Commun. Surv. Tutorials

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Increasing capacity demands in emerging wireless technologies are expected to be met by network densification and spectrum bands open to multiple technologies. These will, in turn, increase the level of interference and also result in more complex inter-technology interactions, which will need to be managed through spectrum sharing mechanisms. Consequently, novel spectrum sharing mechanisms should be designed to allow spectrum access for multiple technologies, while efficiently utilizing the spectrum resources overall. Importantly, it is not trivial to design such efficient mechanisms, not only due to technical aspects, but also due to regulatory and business model constraints. In this survey we address spectrum sharing mechanisms for wireless inter-technology coexistence by means of a technology circle that incorporates in a unified, system-level view the technical and nontechnical aspects. We thus systematically explore the spectrum sharing design space consisting of parameters at different layers. Using this framework, we present a literature review on intertechnology coexistence with a focus on wireless technologies with equal spectrum access rights, i.e. (i) primary/primary, (ii) secondary/secondary, and (iii) technologies operating in a spectrum commons. Moreover, we reflect on our literature review to identify possible spectrum sharing design solutions and performance evaluation approaches useful for future coexistence cases. Finally, we discuss spectrum sharing design challenges and suggest future research directions.

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Section: B Coexistence Among Broadband Technologiesmentioning

confidence: 99%

“…Wi-Fi/LTE [119]- [141] Impact of coexistence with unmodified LTE on Wi-Fi −no baseline [119], [126], [134]; −vs. standalone [120]- [125], [127]- [131], [135];…”

Section: -30 Stations Of Each Technologymentioning

confidence: 99%

Survey of Spectrum Sharing for Inter-Technology Coexistence

Voicu

Simić

Petrova

2019

IEEE Commun. Surv. Tutorials

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“…11.11.230.018. 1 The "carrier sensing" is done during the CSAT OFF periods to determine channel occupancy by competing technologies and adapt LTE's duty cycle parameters accordingly. be problematic, because it has been demonstrated that the sensing capabilities of the two technologies can be asymmetric and in some cases LTE stations are not able to sense Wi-Fi transmissions [6].…”

Section: Introductionmentioning

confidence: 99%

Impact of LTE’s Periodic Interference on Heterogeneous Wi-Fi Transmissions

et al. 2019

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The problem of Wi-Fi and LTE coexistence has been significantly debated in the last years, with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for carrier aggregation. Rather than focusing on the problem of resource sharing between the two technologies, in this paper, we study the effects of LTE's structured transmissions on the Wi-Fi random access protocol. We show how the scheduling of periodic LTE transmissions modifies the behavior of 802.11's distributed coordination function (DCF), leading to a degradation of Wi-Fi performance, both in terms of channel utilization efficiency and in terms of channel access fairness. We also discuss the applicability and limitations of a persistent DCF model in analyzing Wi-Fi performance under periodic LTE interference.

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“…However, unlike WiFi, the LTE does not have shared access mechanisms, since the LTE is designed to operate in a dedicated, licensed band. In [9,10] simulation and theoretical results on the co-existence of LTE and WiFi networks can be found, respectively. It is shown that some sort of coordination between these two networks is necessary.…”

Section: Introductionmentioning

confidence: 99%

Wireless Networks Coexistence in Unlicensed Bands

Nikolić

Tošić

Milošević

et al. 2017

IJEEC

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-Mobile communication networks are constantly evolving, and each new generation provides considerably higher data transmission capabilities. Having in mind predictions of high cellular data traffic growth over the next few years, it is clear that the licensed band communications would have problems to support such a high bandwidth demand. One of the possible solutions to this problem is to adaptively use some additional spectrum out of the dedicated licensed band, such as the unlicensed bands. LTE-A standard introduced a new mechanism, named Carrier Aggregation, which provides the possibility to simultaneously use multiple frequency bands, such as the licensed and unlicensed bands. In order to work in an unlicensed band, LTE has to employ some new procedures that provide shared access with other systems using the same frequency band, such as WiFi. These procedures include spectrum sensing, dynamic frequency selection, as well as the coordination of the shared access. Performance measurements and the analysis of the procedures in 5 GHz frequency band will be shown in this paper. Since there is no available LTE hardware operating in 5 GHz band, it has to be made in a laboratory using the software radio approach. The description of such an experiment may be complex, and therefore we describe and propose the concept of the automatic experiment code generation. The automatic code generation is based on the semantic descriptions of experiments, and it is flexible due to the adoption of the domain and system ontologies for formal representation of the semantics of the problem.

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On the Impact of LTE-U on Wi-Fi Performance

Cited by 54 publications

References 6 publications

Survey of Spectrum Sharing for Inter-Technology Coexistence

Survey of Spectrum Sharing for Inter-Technology Coexistence

Impact of LTE’s Periodic Interference on Heterogeneous Wi-Fi Transmissions

Wireless Networks Coexistence in Unlicensed Bands

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