TETRA Outdoor Large-Scale Received Signal Prediction Model in Riyadh City-Saudi Arabia

Alotaibi, Faihan D.; Ali, Adel A.

doi:10.1109/wamicon.2006.351966

Cited by 13 publications

(9 citation statements)

References 3 publications

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“… PL M gives path loss obtained through field measurement in decibels, PL E is the estimated path loss, K is the number of sampled points, and

\overset{{italicPL}_{M}}{true}

is the mean of the measured path loss in decibels …”

Section: Results Validation and Discussionmentioning

confidence: 99%

“…The newly developed MBPLM model can be validated using some error metrics. The ones used for the purpose of this study are the root mean square error (RMSE), coefficient of determination ( R 2 ), and relative error . The error metrics are defined as: The RMSE The coefficient of determination, R 2 The relative error ( δ ) in percentage for SUI and MBPLM as follows:

δ = ([], (\frac{P_{Lmeasured} - P_{L italicmodel}}{P_{Lmeasured}})) * 100

…”

Section: Results Validation and Discussionmentioning

confidence: 99%

“…PL M gives path loss obtained through field measurement in decibels, PL E is the estimated path loss, K is the number of sampled points, and PL M is the mean of the measured path loss in decibels. 29 Table 4 gives the RMSE values of the different empirical models in all environments examined in Cyprus. The SUI model has RMSE values of 5.95, 4.01, and 6.7 dB in rural, suburban, and urban areas respectively.…”

Section: The Coefficient Of Determination (R 2 )mentioning

confidence: 99%

“…The ones used for the purpose of this study are the root mean square error (RMSE), coefficient of determination (R 2 ), and relative error. 29 The error metrics are defined as: a. The RMSE b.…”

Section: The Coefficient Of Determination (R 2 )mentioning

confidence: 99%

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Multiplicative based path loss model

Bilgehan

Ojo

2018

Int J Communication

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Summary We present a newly introduced multiplicative based path loss model for the wireless channel. The model verified with experimental data at 2100 MHz collected across Cyprus in 6 existing microcells in urban, suburban, and rural areas. The new method uses the multiplicative least square fitting model that relates the decibel path loss to the distance with parameterized exponential‐type basis. The parameters are extracted from the real‐time measured values. The resulting path loss models apply to single‐cell arrangement with base antenna heights from 25 to 45 m and base‐to‐terminal distances from 0.1 to 2 km. The newly generated multiplicative base path loss model tested and compared with the best existing suitable models. The validity of the new model verified using relative error analysis. The new model can be used to determine accurately the path loss for microcells in the wireless coverage area as well as in the applications of data analysis.

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“… PL M gives path loss obtained through field measurement in decibels, PL E is the estimated path loss, K is the number of sampled points, and

\overset{{italicPL}_{M}}{true}

is the mean of the measured path loss in decibels …”

Section: Results Validation and Discussionmentioning

confidence: 99%

δ = ([], (\frac{P_{Lmeasured} - P_{L italicmodel}}{P_{Lmeasured}})) * 100

…”

Section: Results Validation and Discussionmentioning

confidence: 99%

Section: The Coefficient Of Determination (R 2 )mentioning

confidence: 99%

Section: The Coefficient Of Determination (R 2 )mentioning

confidence: 99%

See 2 more Smart Citations

Multiplicative based path loss model

Bilgehan

Ojo

2018

Int J Communication

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show abstract

“…The literature review shows that a lot of analytical and experimental works have been done for radio propagation in mobile environment by using measurement as in [1,2]. There was study on propagation path loss in Malaysia environment [3] in sub-urban, jungle, open area and dense tree area and path loss exponent being compared with empirical model.…”

Section: Introductionmentioning

confidence: 99%