Performance comparison of ray tracing and 3 GPP street canyon model in microcellular environment

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

3 Sitaatiot (Scopus)


Channel models are routinely used to evaluate the performance of a mobile communication systems. An appropriate channel model accurately predicts the signal propagation in a given radio environment and thus, enables the credible system analysis. Yet, shortcomings in the channel model may lead to either too pessimistic or, on the other hand, overoptimistic system performance results. In this paper we evaluate the 3rd Generation Partnership Project (3GPP) street canyon model (TR 38.901, Release 14) in a Manhattan environment against the Shoot and Bouncing Ray (SBR) method based Ray Tracing (RT) model. Simulations are performed at three different frequencies i.e. 1.8 GHz, 3.5 GHz, and 28 GHz. Simulation results indicate that in Manhattan microcellular system setup, the 3GPP model provides more optimistic coverage and capacity results as compared with the deterministic approach of ray tracing. While ray tracing provides more realistic results, we propose a new path loss model based on ray tracing results. The performance of the proposed model is in a close agreement with ray tracing results and thus, it can be used for precise and accurate cell coverage prediction.

OtsikkoProceedings of the 2020 27th International Conference on Telecommunications, ICT 2020
ISBN (elektroninen)9781728165875
DOI - pysyväislinkit
TilaJulkaistu - 5 lokak. 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Telecommunications - Bali, Indonesia
Kesto: 5 lokak. 20207 lokak. 2020
Konferenssinumero: 27


ConferenceInternational Conference on Telecommunications


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  • 5G-FORCE

    Costa Requena, J.


    Projekti: Business Finland: Other research funding


    Hämäläinen, J., Ilter, M. & Saeed, U.


    Projekti: Academy of Finland: Other research funding


    Hämäläinen, J., Gonzalez Gonzalez, D., Haile, B., Ilter, M., Saeed, U., Ullah, I. & Jada, M.


    Projekti: Academy of Finland: Other research funding

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