摘要:
Determination of a signal loss profile relative to a receiver based on measured signal power of a sounding signal from a sounding transmitter having a known signal power in free space relative to the receiver. The signal loss profile may include a plurality of signal loss values corresponding to a plurality of received sounding signals at the receiver. In an embodiment, the sounding signal may comprise a GNSS navigational signal (e.g., a GPS signal). The signal loss profile may be used to extrapolate signal loss for a transmitter collocated with the receiver. In turn, the signal loss profile may be used in conjunction with a shared spectrum system to model a signal propagation from the collocated transmitter when determining allocation of a shared spectrum resource of the shared spectrum system.
摘要:
A method for uplink channel estimation comprises providing of a channel state model in a channel estimator. An uplink radio signal of a present time slot is obtained in the channel estimator as well as a series of transmit power control commands issued for controlling a transmit power of the uplink radio signal. A delay between the time a transmit power control command is issued and the time that the transmit power control command is applied is estimated based on measurements of the particular received uplink radio signal. Channel states are adapted based on a transmit power control command compatible with the estimated delay. After the adaptation, channel states of the present time slot are estimated in the channel estimator, by tracking the demodulated uplink radio signal with the channel state model. A channel estimator performing such method is also described.
摘要:
Embodiments of the present invention provide a method and an apparatus for generating a simulated interference, which are used to obtain a simulated interference of which an interference characteristic is consistent with an interference characteristic of a real user equipment, thereby more objectively reflecting system performance in different scenarios, enhancing a technical evaluation effect, and improving technical evaluation efficiency. The embodiments of the present invention include: configuring interference characteristic parameters, where the interference characteristic parameters are used to simulate one interference or a type of interference that has a same interference characteristic, and the interference characteristic parameters include a transmission mode, a rank Rank, and a precoding matrix indicator PMI; and generating a simulated interference by using the interference characteristic parameters.
摘要:
The subject matter described herein includes methods, systems, and computer readable media for simulating per-UE Doppler shifts. One exemplary method includes generating uplink signals to be transmitted from a plurality of different simulated UEs to an air interface device under test. The method further includes applying per-UE Doppler shifts to the signals, wherein applying per-UE Doppler shifts includes applying different Doppler shifts to at least some of the signals. The method further includes transmitting the signals to the air interface device under test.
摘要:
Provided are a data processing method and apparatus. The method comprises: generating first channel data by using a channel generator, wherein the channel generator belongs to a generative adversarial network, the generative adversarial network further comprises a channel discriminator, and the channel discriminator is used for discriminating the first channel data according to real channel data. Firstly, the channel generator provided by the present application belongs to an artificial intelligence (AI) model, and the process of generating the channel data by the channel generator can be understood as the process of channel modeling on the basis of AI. Therefore, the present application can well describe various different complex channel environments without being limited to a certain specific channel environment. Furthermore, the channel generator provided by the present application belongs to a generator in the generative adversarial network. The generative adversarial network enables the channel generator to generate a large amount of pseudo channel data having extremely high similarity with the real channel data by using a small amount of real channel data on the basis of the idea of the game, so that the cost required for acquiring and collecting the real channel data can be reduced.