Impact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Model
Loading...
Access rights
openAccess
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Date
2020-05
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings, IEEE Vehicular Technology Conference
Abstract
Channel models are routinely used for evaluating the performance of wireless technologies and cellular networks. An appropriate channel model is necessary for a credible system analysis, and the shortcomings in the channel model may lead to erroneous conclusions. In this paper we characterize the impact of Interference Suppression (IS), Interference Cancellation (IC) and interference management on the system performance when using a) the 3rd Generation Partnership Project (3GPP) street canyon model (TR 38.901, Release 14), b) Shoot and Bouncing Ray (SBR) method based Ray Tracing (RT) model, and c) a proposed large scale path loss model in an urban, so-called Manhattan building grid environment. Simulations are performed using the 28 GHz carrier frequency that has been recently considered for the 5th Generation (5G) networks. Simulation results indicate that the 3GPP channel model provides slightly pessimistic path loss values than RT in Line of Sight (LOS) conditions, whereas in Non-LOS (NLOS) situation it gives a considerable pessimistic path loss estimation as compared with the deterministic RT approach. The difference between channel models is notable especially for the estimation of Signal to Interference plus Noise Ratio (SINR). Since RT provides realistic results due to accurate radio environment and signal modeling and, on the other hand, the correct SINR estimation is crucial for the wireless system evaluation. Our proposed path loss model is based on RT simulations. The performance of the proposed model for different performance metrics matches well with the RT results.Description
Keywords
3GPP, 5G, Interference, Ray tracing, Simulations, System performance
Other note
Citation
Sheikh, M U, Jantti, R & Hamalainen, J 2020, Impact of Interference Suppression under Ray Tracing and 3GPP Street Canyon Model . in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings ., 9129448, IEEE Vehicular Technology Conference, IEEE, IEEE Vehicular Technology Conference, Antwerp, Belgium, 25/05/2020 . https://doi.org/10.1109/VTC2020-Spring48590.2020.9129448