2015
DOI: 10.1007/978-3-319-22572-2_5
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Analysis of CQI Traces from LTE MIMO Deployments and Impact on Classical Schedulers

Abstract: 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 fi… Show more

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Cited by 7 publications
(5 citation statements)
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“…35 The received signal (y j i ) over ith resource block from jth base station with multiple antennas can be formulated as follows…”
Section: Evaluations and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…35 The received signal (y j i ) over ith resource block from jth base station with multiple antennas can be formulated as follows…”
Section: Evaluations and Discussionmentioning
confidence: 99%
“…The proposed solution can be improved by utilizing the fact that Long Term Evolution (LTE) systems implement multi-input multi-output (MIMO) in the base station side. 35 The received signal ( y i j ) over i th resource block from j th base station with multiple antennas can be formulated as follows…”
Section: Evaluations and Discussionmentioning
confidence: 99%
“…The fronthaul interface is modeled as a serial line of 10 Gbps. For CQI reports, we employ traces reported in [16] and assume a reporting interval of 5 ms, which is the typical value used in LTE to carry the CQI feedback over the Physical Uplink Shared Channel under fading conditions [3].The CQI feedback is used by the Du to determine the modulation and coding scheme for data transmissions to the end user.…”
Section: Evaluation Methodologymentioning
confidence: 99%
“…The radio channel conditions are simulated through periodic wideband CQI reports sent by the users to the network side every 5 ms [35]. These CQIs were obtained through an independent simulation, using the SimuLTE [36] and the OMNeT++ [37] tools: an LTE urban macrocell scenario was considered, comprising a single base station and 200 mobile users moving around with a random trajectory; all the CQIs reported by the users to the base station, during a time interval of 3 minutes (the optimal length of a YouTube video [38]), were saved.…”
Section: User Cqi and Throughputmentioning
confidence: 99%