Real-world experiences with CQI-based analyses for dense LTE networks

Bosneag, Anne-Marie; Handurukande, Sidath; O'Sullivan, James; Wang, Mingxue

doi:10.1109/noms.2016.7502930

Cited by 2 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…X ̂4 = 1.7 + 0.5285X 3 (16) ̂4 = 8.3205 + 0.2177X 3 (17) The NRMSE between the estimated and measured CQI values using equation ( 17) is 0.1482. Fig.…”

Section: Fig 8 Variation In Measured and Estimated Thrp Based On Meas...mentioning

confidence: 99%

“…Some of these are as follows; detailed practical performance analysis of the LTE cellular system based on field test measurements was evaluated [8], RSRP, RSRQ, and reference signal Signal to Noise Ratio at various points in space which is covered by an LTE macro base station operating at 2100MHz was measured [9], the effect of CQI, SINR, and other channel parameters on THRP was investigated in LTE and LTE-A networks [10][11][12][13]. The relationship of RSRQ and RSRP values with CQI, SNR, and their effect on THRP were investigated with actual field measurements [14][15][16][17]. Mathematical models have been proposed for the THRP calculation of system parameters in LTE networks [18,19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance analysis and modeling based on LTE-A field measurements: a city center example

Kurnaz

Kola

Esenalp

2023

Int. j. inf. tecnol.

View full text Add to dashboard Cite

The wireless communication channel is the critical parameter that affects the throughput in the LTE-A network. The user equipment measures the quality of the wireless channel as the channel quality indicator (CQI) value and transmits it to eNodeB. The eNodeB uses the CQI value to select the adaptive modulation and coding method to achieve the highest throughput. This study analyzes the LTE-A network based on actual field measurements. Measurements were taken at 80 different locations in Samsun (Turkey) city center using TEMS Investigation software. RSRP, RSRQ, SINR, CQI, and throughput values were recorded for each measurement in a stationary position while downloading 500 MB of data. Then, the averages of these recorded data were calculated, and detailed analyses were performed. At the end of the study, the effects of RSRP, RSRQ, SINR, and CQI on the throughput value in the LTE-A network were examined, and a novel mathematical model was proposed that gives the relationship between them with 88.85% accuracy. It has also been observed that the accuracy of the proposed model can be increased by 4% with GRNN. In the last stage of the study, a new CQI mapping method based on real-field measurements for the LTE-A system was developed.

show abstract

“…X ̂4 = 1.7 + 0.5285X 3 (16) ̂4 = 8.3205 + 0.2177X 3 (17) The NRMSE between the estimated and measured CQI values using equation ( 17) is 0.1482. Fig.…”

Section: Fig 8 Variation In Measured and Estimated Thrp Based On Meas...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance analysis and modeling based on LTE-A field measurements: a city center example

Kurnaz

Kola

Esenalp

2023

Int. j. inf. tecnol.

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Modeling Based on LTE-A Field Measurements: a City Center Example

Kurnaz

Kola

Esenalp

2022

Preprint

View full text Add to dashboard Cite

The wireless communication channel is the critical parameter that affects the throughput in the LTEA network. The user equipment measures the quality of the wireless channel as the channel quality indicator (CQI) value and transmits it to eNodeB. The eNodeB uses the CQI value to select the adaptive modulation and coding method to achieve the highest throughput. This study analyzes the LTE-A network based on actual field measurements. Measurements were taken at 80 different locations in Samsun (Turkey) city center using TEMS Investigation software. RSRP, RSRQ, SINR, CQI, and throughput values were recorded for each measurement in a stationary position while downloading 500 MB of data. Then, the averages of these recorded data were calculated, and detailed analyses were performed. At the end of the study, the effects of RSRP, RSRQ, SINR, and CQI on the throughput value in the LTE-A network were examined, and a novel mathematical model was proposed that gives the relationship between them with 88.85% accuracy. It has also been observed that the accuracy of the proposed model can be increased by 4% with GRNN. In the last stage of the study, a new CQI mapping method based on real-field measurements for the LTE-A system was developed.

show abstract

Real-world experiences with CQI-based analyses for dense LTE networks

Cited by 2 publications

References 5 publications

Performance analysis and modeling based on LTE-A field measurements: a city center example

Performance analysis and modeling based on LTE-A field measurements: a city center example

Performance Analysis and Modeling Based on LTE-A Field Measurements: a City Center Example

Contact Info

Product

Resources

About