Abstract: A method for determining and compensating for residual phase noise in a 5G NR DL signal includes converting a block of 5G NR DL time domain signal samples into a block of frequency domain samples for one OFDM data symbol and equalizing and combining the frequency domain samples that fall in an outermost sample accumulation region of each quadrant to form a first composite sample for each quadrant, selecting a signal constellation point belonging to one of the four outermost constellation point decision region as a reference constellation point, rotating at least some of the first composite samples so that the first composite samples are in the same quadrant as the reference constellation point, combining the rotated first composite samples to produce a second composite sample, calculating a phase error between the second composite sample and the reference constellation point, applying phase correction corresponding to the phase error to all subcarriers of the OFDM data symbol, and generating output data from

Abstract: A method for determining and compensating for residual phase noise in a 5G NR DL signal includes converting a block of 5G NR DL time domain signal samples into a block of frequency domain samples for one OFDM data symbol and equalizing and combining the frequency domain samples that fall in an outermost sample accumulation region of each quadrant to form a first composite sample for each quadrant, selecting a signal constellation point belonging to one of the four outermost constellation point decision region as a reference constellation point, rotating at least some of the first composite samples so that the first composite samples are in the same quadrant as the reference constellation point, combining the rotated first composite samples to produce a second composite sample, calculating a phase error between the second composite sample and the reference constellation point, applying phase correction corresponding to the phase error to all subcarriers of the OFDM data symbol, and generating output data from

Abstract: A method for efficient generation of a narrowband IoT uplink signal includes generating an under-sampled sequence of samples of a narrowband IoT uplink signal, identifying symbol boundaries in the sequence of samples that do not correspond to sample times, for each symbol boundary that does not correspond to one of the sample times: extrapolating, from a signal phase value for a sample at a last sample time before the symbol boundary, a signal phase value for a sample at a first sample time after the symbol boundary; calculating and applying a phase jump to the sample at the first sample time after the symbol boundary to generate a new phase value for the sample at the first sample time after the symbol boundary, wherein the phase jump is applied from the phase value extrapolated from the last sample time before the symbol boundary; and using the new phase value for the first sample time after the symbol boundary to calculate amplitude of the sample at the first sample time after the symbol boundary.

Abstract: A method for testing an air interface device by simulating multi-UE uplink virtual MIMO includes receiving, by a multi-UE simulator, a downlink signal transmission from an air interface device under test. The method further includes decoding, by the multi-UE simulator, the downlink signal transmission to identify simulated UEs with uplink resource block grants. The method further includes assigning, by the multi-UE simulator, uplink data transmissions for the simulated UEs with uplink resource block grants to antennas or cables such that uplink data transmissions for simulated UEs with overlapping uplink resource block grants are assigned to different antennas or cables. The method further includes testing, by the multi-UE simulator, uplink virtual MIMO processing capability of the air interface device under test by generating and transmitting uplink signals from the simulated UEs with the overlapping uplink resource block grants to the air interface device under test using the different antennas or cables.

Abstract: Methods, systems, and computer readable media for testing an air interface device using per user equipment (UE) channel noise are disclosed. One method includes, generating uplink signals at a network equipment test device to be transmitted from plural simulated UEs to an air interface device under test. The method further includes generating and applying per-UE channel noise to the signals, where applying per-UE channel noise includes applying different channel noise to at least some of the uplink signals. The method further includes transmitting the uplink signals with the per-UE channel noise to the air interface device under test.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for frequency selective channel modeling. One exemplary system includes a network equipment test device including at least one processor. The network equipment test device includes the UE emulator implemented by the at least one processor and configured to emulate a plurality of UEs that attach to and communicate with a device under test. The system further includes a frequency selective channel modeler configured to receive resource scheduling information for the UEs from the device under test, to determine channel performance categories for the UEs using the resource scheduling information and to determine values for channel quality parameters using the channel performance categories assigned to the resource blocks, which represent selected frequencies in the total channel bandwidth.

Abstract: Methods, systems, and computer readable media for testing an air interface device using per user equipment (UE) channel noise are disclosed. One method includes, generating uplink signals at a network equipment test device to be transmitted from plural simulated UEs to an air interface device under test. The method further includes generating and applying per-UE channel noise to the signals, where applying per-UE channel noise includes applying different channel noise to at least some of the uplink signals. The method further includes transmitting the uplink signals with the per-UE channel noise to the air interface device under test.

Abstract: Methods, systems, and computer readable media for detecting antenna port misconfigurations are disclosed. According to one method, the method includes storing one or more reference signal maps for identifying reference signals in downlink data in memory. The method further includes receiving downlink data that appears to be associated with a first antenna port of a device under test (DUT). The method also includes identifying, using the one or more reference signal maps, a first reference signal in the downlink data, wherein the first reference signal appears to be associated with the first antenna port. The method further includes determining, using a first computed error vector magnitude associated with the first reference signal, whether the first antenna port is misconfigured.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for frequency selective channel modeling. One exemplary system includes a network equipment test device including at least one processor. The network equipment test device includes the UE emulator implemented by the at least one processor and configured to emulate a plurality of UEs that attach to and communicate with a device under test. The system further includes a frequency selective channel modeler configured to receive resource scheduling information for the UEs from the device under test, to determine channel performance categories for the UEs using the resource scheduling information and to determine values for channel quality parameters using the channel performance categories assigned to the resource blocks, which represent selected frequencies in the total channel bandwidth.

Abstract: Methods, systems, and computer readable media for detecting antenna port misconfigurations are disclosed. According to one method, the method includes storing one or more reference signal maps for identifying reference signals in downlink data in memory. The method further includes receiving downlink data that appears to be associated with a first antenna port of a device under test (DUT). The method also includes identifying, using the one or more reference signal maps, a first reference signal in the downlink data, wherein the first reference signal appears to be associated with the first antenna port. The method further includes determining, using a first computed error vector magnitude associated with the first reference signal, whether the first antenna port is misconfigured.