Enabling the coexistence of LTE and Wi-Fi in unlicensed bands

Abinader, Fuad M.; Almeida, Erika P. L.; Chaves, F. de S.; Cavalcante, André; Vieira, Robson D.; Paiva, Rafael C. D.; Sobrinho, Angilberto M.; Choudhury, Sayantan; Tuomaala, E.; Doppler, Klaus; Sousa, Vicente A. de

doi:10.1109/mcom.2014.6957143

Cited by 223 publications

(80 citation statements)

References 8 publications

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“…A comparison of (26) with (27) demonstrates that for the case n=0, the steady-state probability vector is the eigenvector associated with   QoS management in the context of heterogeneous wireless networks, cognitive management in cognitive radio networks, dynamic spectrum access and management, self-organized networks and network optimization. Since 1997 she has participated in several projects founded by both public and private organizations.…”

Section: Discussionmentioning

confidence: 99%

“…Possible examples of practical applications of the proposed framework include: (i) a home networking scenario in which the radio links correspond to communicating devices (e.g., TVs, consoles, and laptops) coordinated by a Digital Home Manager, as considered in [26]; (ii) a small cell network in which some small cells opportunistically extend their capacity with additional channels coming from unlicensed bands, e.g., in Long Term Evolution -Unlicensed (LTE-U), as considered in [27]; (iii) a wireless network exploiting device-to-device (D2D) communications between specific terminals making use of additional frequencies coming from, e.g., unlicensed bands, as in [28].…”

Section: System Model and Spectrum Selection Decision-making Critmentioning

confidence: 99%

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A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks

Perez-Romero

Raschellà

Sallent

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-This paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks and relies on a smart analysis of the scenario dynamicity to properly determine an adequate observation strategy to balance the trade-off between achievable performance and measurement requirements. In this respect, the paper shows that the interference dynamics in a given spectrum block can be properly characterized through the second highest eigenvalue of the interference state transition matrix. Therefore, this indicator is retained in the proposed framework as a relevant parameter to drive the selection of both the observation strategy and spectrum selection decision-making criterion. The paper evaluates the proposed framework to illustrate the capability to properly choose among a set of possible observation strategies under different scenario conditions. Furthermore, a comparison against other state-of-the-art solutions is presented.

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Section: Discussionmentioning

confidence: 99%

Section: System Model and Spectrum Selection Decision-making Critmentioning

confidence: 99%

A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks

Perez-Romero

Raschellà

Sallent

et al. 2016

IEEE Trans. Veh. Technol.

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“…As of 2015, most of the architectural progress on ProSe and D2D communications is summarized in the TS 23.303 document [15]. It is likely, however, that additional amendments will be made when activities on the technical side of LTE unlicensed [16] commence. Today, some of the related ideas on potential license-assisted communication (RP-140770) and on LTEbased short-range radio within licensed bands [17] have already been documented.…”

Section: D2d Standardization Activitiesmentioning

confidence: 99%

3GPP LTE-Assisted Wi-Fi-Direct: Trial Implementation of Live D2D Technology

Pyattaev¹,

Hošek²,

Johnsson³

et al. 2015

ETRI J

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This paper is a first-hand summary on our comprehensive live trial of cellular-assisted device-todevice (D2D) communications currently being ratified by the standards community for next-generation mobile broadband networks. In our test implementation, we employ a full-featured 3GPP LTE network deployment and augment it with all necessary support to provide realtime D2D connectivity over emerging Wi-Fi-Direct (WFD) technology. As a result, our LTE-assisted WFD D2D system enjoys the required flexibility while meeting the existing standards in every feasible detail. Further, this paper provides an account on the extensive measurement campaign conducted with our implementation. The resulting real-world measurements from this campaign quantify the numerical effects of D2D functionality on the resultant system performance. Consequently, they shed light on the general applicability of LTE-assisted WFD solutions and associated operational ranges.Keywords: 3GPP LTE, cellular assistance, commercial opportunities, device-to-device, live trial, performance measurements, standardization, Wi-Fi-Direct. Manuscript received Feb. 10, 2015; revised May 15, 2015; accepted June 4, 2015. The research described in this paper was financed by the National Sustainability Program under grant LO1401. For the research, infrastructure of the SIX Center was used.Alexander Pyattaev (alexander.pyattaev@tut.fi), Mikhail Gerasimenko (mikhail. gerasimenko@tut.fi), Aleksandr Ometov (aleksandr.ometov@tut.fi), Sergey Andreev (sergey. andreev@tut.fi), and Yevgeni Koucheryavy (yk@cs.tut.fi) are with the Department of Electronics and Communications Engineering, Tampere University of Technology, Finland.Jiri Hosek (corresponding author, hosek@feec.vutbr.cz), Radko Krkos (krkos@ phd.feec.vutbr.cz), Pavel Masek (xmasek12@phd.feec.vutbr.cz), Jakub Sedy (jakub.sedy@ phd.feec.vutbr.cz), and Vit Novotny (novotnyv@feec.vutbr.cz) are with the Department of Telecommunications, Brno University of Technology, Czech Republic.Kerstin Johnsson (kerstin.johnsson@intel.com) is with the Wireless Communication Laboratory, Intel Corporation, Santa Clara, CA, USA. I. IntroductionDevice-to-device (D2D) communications technology as part of the 3rd Generation Partnership Project (3GPP) Long-Term Evolution (LTE) Release 12 specification [1] enables novel unprecedented opportunities for next-generation peer-to-peer (P2P) and location-based applications and services [2]. Most of these new opportunities emerge from discovering and exploiting user proximity, which is provided by virtue of location services in contemporary mobile broadband networks [3]. Together with improvements in network capacity, data delivery latency, individual user throughput, and energy efficiency, D2D also brings along attractive new business cases for network and service providers.With our preliminary research [4]-[5], we have identified numerous benefits that could become available if a coordinated, network-assisted D2D technology is deployed by network operators. On the other hand, introducing D2D te...

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“…Abinader et al in [10] presented average user throughput results for coexisting LTE and Wi-Fi in indoor environment in the 5.8 GHz unlicensed band and introduced a generalized collaborative coexistence algorithm. The presented results show that the average LTE user throughput value is similar to the case of non-coexistence scenarios and contrasts with degraded Wi-Fi average user throughput (for high Access Point (AP) density).…”

Section: Introductionmentioning

confidence: 99%