Test 3GPP channel coefficient calculation: LoS channel matrix

Test 3GPP channel coefficient calculation: Step 11

Test 3GPP channel coefficient calculation: Array offset matrix

Test 3GPP channel coefficient calculation: Doppler matrix

Test 3GPP channel coefficient calculation: Field matrix calculation

Test 3GPP channel coefficient calculation: Positions of the RX array elements

Test 3GPP channel coefficient calculation: Positions of the TX array elements

Test 3GPP channel coefficient calculation: Doppler matrix

Test 3GPP channel coefficient calculation: Phase matrix calculation

Test 3GPP channel coefficient calculation: NLoS channel matrix computation

Verify that path loss and shadow fading are applied correctly

Test that the shape of h

Test 3GPP channel coefficient calculation: Unit sphere vector

Check that the zenith angles of arrival (ZoA) and departure (ZoD) are wrapped within (0, 180) degrees.

Verify that a larger zenith spread input yields increased variability in the computed zenith angles (ZoA).

r""" Compute the time and frequency vector for a given number of samples and duration per sample in normalized time unit. >>> t = tf.cast

r""" Compute the smallest and largest time-lag for the descrete complex baseband channel, i.e., :math:`L_{\text{min}}` and :math:`L_{\text{max

r""" Compute the channel frequency response from the discrete complex-baseband channel impulse response. Given a discrete complex-baseban

Updates internal quantities. Must be called at every update of the scenario that changes the state of UTs or their locations.

r"""PanelArray used by UTs.

r"""Locations of UTs [m]. [batch size, number of UTs, 3]

r"""Orientations of UTs [radian]. [batch size, number of UTs, 3]