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Hi @rbachu21, Effective SINR values are computed via the EESM method, with multiplicative coefficients stored in sionna/sys/esm_params/eesm_beta_table.json. It is possible to try replicating the coefficients from [1] using Sionna. FYI, new BLER tables can be generated as in the tutorial https://nvlabs.github.io/sionna/sys/tutorials/PHY_Abstraction.html . Regarding your concern about throughput, I'm not sure I understand the issue. Make sure to set guaranteed_power_ratio>0 (default: 0.5) if you want to guarantee a minimum service to all users. Best regards [1] S. Lagen, K. Wanuga, H. Elkotby, S. Goyal, N. Patriciello, L. Giupponi. New radio physical layer abstraction for system-level simulations of 5G networks. IEEE International Conference on Communications (ICC), 2020 |
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Hi @lollodealma I was actually referring to calibration as shown in 3GPP TR 38.901. Basically, we need to get the same pathloss CDF and geometry SINR CDF. Was wondering if this was done Also, for the throughput, I see the following curve ![]() It is showing 0 throughput for several users with low SINR. The default value of guaranteed_power_ratio was not changed. How do I get hold of a copy of the reference in your response? I do not have IEEE access. Regards. |
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Is the system level simulator calibrated? If yes, how can we recreate those results? What were the reference results used?
I see that the the throughput curve for proportional fair scheduler is concave near origin instead of convex (which would provide some minimum throughput for low SINR users).
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