Extending LTE into the Unlicensed Spectrum: Technical Analysis of the Proposed Variants

Labib, Mina; Marojevic, Vuk; Reed, Jeffrey H.; Zaghloul, Amir I.

doi:10.1109/mcomstd.2017.1700040

Cited by 61 publications

(43 citation statements)

References 6 publications

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“…While the licensed spectrum has better performance due to less interference, the increasing number of connected devices drives the necessity to use unlicensed spectrum. License Assisted Access, LTE in Unlicensed Spectrum and Multefire [193] are three representatives to explore LTE services in the unlicensed 5 GHz band [194]. License Assisted Access and LTE in Unlicensed Spectrum use the unlicensed band by offloading traffic to boost data rate and reduce transmission time (T t ), while the control signals stay in the licensed band.…”

Section: Other Standardization Activitiesmentioning

confidence: 99%

Low-Latency Networking: Where Latency Lurks and How to Tame It

et al. 2019

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While the current generation of mobile and fixed communication networks has been standardized for mobile broadband services, the next generation is driven by the vision of the Internet of Things and mission critical communication services requiring latency in the order of milliseconds or submilliseconds. However, these new stringent requirements have a large technical impact on the design of all layers of the communication protocol stack. The cross layer interactions are complex due to the multiple design principles and technologies that contribute to the layers' design and fundamental performance limitations. We will be able to develop low-latency networks only if we address the problem of these complex interactions from the new point of view of sub-milliseconds latency. In this article, we propose a holistic analysis and classification of the main design principles and enabling technologies that will make it possible to deploy low-latency wireless communication networks. We argue that these design principles and enabling technologies must be carefully orchestrated to meet the stringent requirements and to manage the inherent trade-offs between low latency and traditional performance metrics. We also review currently ongoing standardization activities in prominent standards associations, and discuss open problems for future research.

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Section: Other Standardization Activitiesmentioning

confidence: 99%

Low-Latency Networking: Where Latency Lurks and How to Tame It

et al. 2019

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“…One prime example of a network that relies on LBT for IoT access is the MulteFire network [13], which is a 3GPP-compliant standard for cellular-like access in the unlicensed spectrum [19]. 1 It combines the simplicity of WiFi deployment and the reliability of cellular networks, and it is envisioned to enable a stand-alone unlicensed 5G-NR [20].…”

Section: A Related Workmentioning

confidence: 99%

Distributed Wideband Sensing-Based Architecture for Unlicensed Massive IoT Communications

Hattab

Čabrić

2019

IEEE Trans. Cogn. Commun. Netw.

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Providing Internet connectivity to a massive number of Internet-of-things (IoT) objects over the unlicensed spectrum requires: (i) identifying a very large number of narrowband channels in a wideband spectrum and (ii) aggressively reusing the available channels over space to accommodate the high density of IoT devices. To this end, we propose a sensing-based architecture that identifies spectral and spatial resources at a fine resolution. In particular, we first propose a sensing assignment scheduler, where each base station (BS) is assigned a subset of the spectrum to sense at a high resolution. We then propose a distributed sensing algorithm, where BSs locally process and share their sensing reports, so that each BS obtains occupancy information of the wideband spectrum at its location. Once the spatio-spectral resource blocks are identified, we further propose a distributed resource allocation algorithm that maintains high spatial reuse of spectral opportunities while limiting the intra-network and inter-network interference. Numerical simulations are presented to validate the effectiveness of the proposed distributed algorithms, comparing them to centralized and non-cooperative schemes. It is shown that our architecture identifies more spatiospectral resources, with lower misdetection of incumbents. As a result, more IoT devices are connected with limited interference into incumbents.

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“…LTE-LAA and LTE-U occupies licensed and unlicensed bands at the same time through the use of carrier aggregation. Signalling and traffic with specific Quality-of-Services (QoS) requirements will use licensed bands, while less critical traffic is offloaded to unlicensed bands [12,15,16]. Some technologies employing sharing type (i-B) are Wi-Fi and MulteFire, which is a LTE-LAA based technology that works solely in unlicensed bands without the need for an anchor in licensed band [17].…”

Section: A Motivationmentioning

confidence: 99%

“…Technologies devised for spectrum sharing in unlicensed bands, such as LTE-U, LTE-LAA and MulteFire avoid interfering with neighbour networks by employing simple senseand-avoid techniques [15], however, in the foreseen dense and diverse future use of spectrum, these simple schemes will not survive, because only local information about the medium availability and naive avoidance mechanisms are insufficient to maintain end-to-end QoS of multiple competing wireless links. On the other hand, technologies for spectrum sharing in licensed bands such as SAS and LSA avoid interference by having a central arbitrator to decide how the licensees will access the incumbents' band, however, in order to ensure reliable QoS to incumbents and licensees, these technologies can not depend exclusively on geo-location and spectrum data bases to decide how they grant access the spectrum [18].…”

Section: A Motivationmentioning

confidence: 99%

“…As the other modules in the proposed framework, the software-based Listen Before Talk (SW-based LBT) module also runs on an exclusive thread. The module implements a contention-based mechanism for medium access based on 3GPP's LAA specifications [63,64]. However, differently from 3GPP's LAA specifications, the proposed implementation allows the following configurations: minimum and maximum contention window (CW) sizes (with the option for the upper limit to be fixed or dynamically adjusted), variable frame period (with configurable maximum COT and clear periods, which allows longer than the standardized maximum frame period [63] and the adaptation to different traffic loads and channel usage [65]) and threshold.…”

Section: Listen Before Talkmentioning

confidence: 99%

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A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks

Figueiredo¹,

Mennes²,

Jiao³

et al. 2018

Preprint

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The explosive emergence of wireless technologies and standards, covering licensed and unlicensed spectrum bands has triggered the appearance of a huge amount of wireless technologies, with many of them coexisting in the same band. Unfortunately, the wireless spectrum is a scarce resource, and the available frequency bands will not scale with the foreseen demand for new capacity. Certain parts of the spectrum, in particular the license-free ISM bands, are overcrowded, while other parts, mostly licensed bands, may be significantly underutilized. As such, there is a need to introduce more advanced techniques to access and share the wireless medium, either to improve the coordination within a given band, or to explore the possibilities of intelligently using unused spectrum in underutilized (e.g., licensed) bands. Therefore, in this paper, we present an open source SDR-based framework that can be employed to devise disruptive techniques to optimize the sub-optimal use of radio spectrum that exists today. Additionally, we describe three use cases where the proposed framework can be employed along with intelligent algorithms to achieve improved spectrum utilization.

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Extending LTE into the Unlicensed Spectrum: Technical Analysis of the Proposed Variants

Cited by 61 publications

References 6 publications

Low-Latency Networking: Where Latency Lurks and How to Tame It

Low-Latency Networking: Where Latency Lurks and How to Tame It

Distributed Wideband Sensing-Based Architecture for Unlicensed Massive IoT Communications

A Spectrum Sharing Framework for Intelligent Next Generation Wireless Networks

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