Performance evaluation of a real long term evolution (LTE) network

Sevindik, Volkan; Wang, Jiao; Bayat, Oğuz; Weitzen, Jay

doi:10.1109/lcnw.2012.6424050

Cited by 25 publications

(10 citation statements)

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“…A similar analysis can be found in [5], where a comparison in terms of channel quality and throughput is performed between UEs moving at a speed of 70 km/h and static UEs. In this study, measurements are collected by a single user under unspecified load conditions, which compromise the reliability of the measured downlink performance.…”

Section: Related Workmentioning

confidence: 82%

“…One method to collect such data is to make use of application-specific systems (i.e., hardware and software) in extensive measurement campaigns. This is the approach that was used in available studies [4][5][6][7][8][9][10]. In an alternative way, commonly used smartphones can also be used to collect measurements in a distributed and cooperative manner.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and analysis of LTE connectivity in a high mobility vehicular environment

Burbano-Abril

Edwards

Rangel-Licea

et al. 2018

Computers & Electrical Engineering

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Long-Term Evolution (LTE) technology has several features that make it an attractive alternative to be used in vehicle-to-infrastructure communications for intelligent transportation systems. However, before LTE can be widely used in this context, a number of analysis must provide convincing evidence that critical network functions (e.g. resource allocation strategies) yield adequate performance. To this end, in this work, we introduce a Markov-chain based model for LTE downlink channel quality, a prime factor affecting performance. Our model comes from the analysis of a large number of measurements of LTE Cell-Specific Reference Signals that were collected through a crowdsourcing application on a motorway in the UK. The model is intended to be used in performance evaluation studies and we exemplify its use with a case study, where we estimate the downlink transmission capacity of an LTE network. We also discuss other potential applications.

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Section: Related Workmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of LTE connectivity in a high mobility vehicular environment

Burbano-Abril

Edwards

Rangel-Licea

et al. 2018

Computers & Electrical Engineering

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“…Other 4G technologies, such as 802.16m, may serve as a substitute for convergence networks, but most of the subscribers use LTE for wireless communication. Cost-effective deployment is another advantage of LTE [63], [64]. Here, we consider a specific protocol conversion between WSN and LTE-A networks.…”

Section: Protocol Convergencementioning

confidence: 99%

A Survey on WSN and MCN Convergence Networks

Swain¹,

Ray²

2020

JTIT

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In this paper, we present a survey concerned with research focusing on the convergence of wireless sensor networks (WSN) and mobile cellular networks (MCN). The convergence of WSNs and MCNs may be a trigger stimulating new research dealing with such issues as architecture, protocols and air interfaces. The highlights and constraints of the phenomenon are discussed in this paper as well. The survey deals with convergence networks and with their smarty city applications. A few open research issues are also brought to the attention of researchers specializing in this ﬁeld

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“…Few studies provide detailed information concerning CQI values. In [10], authors illustrate the temporal evolution of CQI values in stationary and mobility conditions in one LTE network with 10MHz of bandwidth. However, no information is provided about the RI value and consequently the specific MIMO mode at each moment is unknown.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, SNR values are not always an accurate estimator of the reported channel quality and CQI traces are generally preferred to analyze the experienced performance. As shown in [10], the relationship between SNR and CQI at different antennas depends on the experienced channel variability at each antenna. Additionally, SNR values are not always accessible from LTE devices.…”

Section: Introductionmentioning

confidence: 99%

Analysis of CQI Traces from LTE MIMO Deployments and Impact on Classical Schedulers

Fajardo

Taboada

Liberal

2015

Lecture Notes in Computer Science

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Abstract. This paper deals with the classical problem of radio resource management in LTE MIMO, with special focus to the specific radio channel characteristics in commercial LTE networks. First, we provide some conclusions about the Channel Quality Information traces obtained through field testing. From this analysis, we perform a series of experiments by means of an LTE emulator in order to evaluate the accuracy of different fading models used in the 3GPP. As a first outcome of the paper, we infer several fine-grain channel characteristics useful to feed further research work in the area of LTE MIMO. As a second contribution of the paper, we analyze the performance of classical schedulers (i.e., Round Robin, Best CQI and Proportional Fair) under the obtained LTE MIMO channel conditions. Specifically, we analyze the impact of the channel feedback reporting rate in scenarios with multiple greedy sources.

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Performance evaluation of a real long term evolution (LTE) network

Cited by 25 publications

References 0 publications

Modeling and analysis of LTE connectivity in a high mobility vehicular environment

Modeling and analysis of LTE connectivity in a high mobility vehicular environment

A Survey on WSN and MCN Convergence Networks

Analysis of CQI Traces from LTE MIMO Deployments and Impact on Classical Schedulers

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