A reception apparatus includes reception circuitry and decoding circuitry. The reception receives a signal including a legacy header field, an enhanced directional multi-gigabit (EDMG) header field, and a data field. The decoding circuitry decodes data included in the data field of the received signal. The legacy header field includes a Length field comprising multiple bits. The reception apparatus is an EDMG terminal, and a subset of the multiple bits of the Length field included in the legacy header field is used to indicate bandwidth over which the signal is transmitted. Remaining bits of the Length field included in the legacy header field are used to indicate data length of the received signal.

An adaptive equalizer includes a sample buffer that temporarily stores data obtained by fractional sampling at a sampling rate that is larger than one time and smaller than two times a symbol rate; and a processor coupled to the sample buffer and configured to: specify position of a training sequence in the data based on a correlation value between a first set of (f×T) samples and a second set of (f×T) samples following the first set of samples, assuming that the sampling rate is f, and a symbol length of a code pattern included in the training sequence inserted in the data is T, and calculate an initial value of a tap coefficient set to a tap of an adaptive equalization filter based on the specified training sequence, wherein the symbol length is set to be changeable so that f×T is an integer.

Noise and interference may be estimated at a user equipment (UE) in a system that may support transmissions having different transmission time intervals (TTIs). The UE may perform a channel estimation for a first set of transmissions having a first TTI based at least in part on an estimated interference from a second set of transmissions having a second TTI that is shorter than the first TTI. The UE may perform channel estimation for orthogonal frequency division multiplexing (OFDM) symbols of the first set of transmissions. The first set of transmissions may then be demodulated based at least in part on the channel estimation for the first set of transmissions. Noise and interference may also be estimated based on one or more null tones within one or more OFDM symbols of the allocated resources.

Embodiments of the present disclosure are related to system and method of classifying speed of at least one user equipment (UE). The method comprises receiving a plurality of input signals associated with the at least one UE. Also, method comprises estimating a plurality of channels using a plurality of reference signals associated with the inputs signals. Further, the method comprises computing a metric between the estimated plurality of channels and classifying speed of the at least one UE using the computed metric. The classifying the at least one UE using the metric comprises obtaining a power spectral density (PSD) from the metric, estimating a Doppler spectrum width using the PSD and classifying the at least one UE by comparing the Doppler spectrum width with one or more threshold values.

Apparatus and methods for phase noise mitigation in wireless systems and networks. In one embodiment, the apparatus and methods provide enhanced wireless services which provide enhanced performance to 5G millimeter wave system entities base stations (gNodeBs) and their backhaul in support of low-latency and high-throughput operation of these components and the network as a whole. In one variant, an enhanced phase noise mitigation mechanism is provided which has a robust performance in operating in very high frequencies such as millimeter wave spectrum. In yet other implementations, the methods and apparatus described herein can be utilized with respect to mobile devices such as between 5G NR millimeter-wave capable UEs and corresponding gNBs.

The disclosure relates to a communication technique that converges a 5G communication system to support a higher data rate after a 4.sup.th Generation (4G) system with Internet of Things (IoT) technology, and a system thereof. The disclosure can be applied to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security and safety related services, or the like) based on 5.sup.th Generation (5G) communication technology and IoT related technology. In addition, the disclosure provides a method and an apparatus for reducing user equipment (UE) power consumption in a wireless communication system.

A channel estimation method. For at least one temporal difference observed between two sub-sequences of channel measurements, or channel estimations, consisting of complex vectors or scalars, the method includes: a first extrapolation on the basis of channel measurements or channel estimations of the sub-sequence preceding the temporal difference, going forward in time; a second extrapolation on the basis of channel measurements or channel estimations of the sub-sequence following the temporal difference, going backward in time; and calculation of a weighted average of the extrapolated estimations or measurements forward in time and of the extrapolated estimations or measurements backward in time, in order to obtain channel measurements or channel estimations regularly spaced apart in the temporal difference. The method is suitable for radio communications between a base station and a moving connected vehicle.

Embodiments are presented herein of apparatuses, systems, and methods for a wireless device to perform sensing applications using communication signals. The first wireless device may determine to perform a sensing application and to perform the sensing application using a communication signal to be transmitted to a second device. In other words, the first wireless device may use a transmission that is scheduled for communication purposes to additionally perform sensing of one or more types. Example sensing or radar-like applications include estimating distance, motion, and/or angle to one or more objects or structures in the vicinity of the first wireless device. After transmitting the communication signal to the second wireless device, the first wireless device may receive a reflection of the communication signal. The first wireless device may use the reflection to perform the sensing application.

A method for minimizing a time domain mean square error (MSE) of channel estimation (CE) includes estimating, by a processor, a power delay profile (PDP) from a time domain observation of reference signal (RS) channels; estimating, by the processor, a noise variance of the RS channels; and determining, by the processor, a first arrival path (FAP) value and a delay spread estimation (DSE) value based on the estimated PDP and the estimated noise variance for minimizing the MSE of CE.

A transmitting device includes: a transmission signal generation circuit that generates a transmission signal using a frame format including a legacy short training field (STF), a legacy channel estimation field (CEF), a legacy header field, an enhanced directional multi-gigabit (EDMG) header field, an EDMG-STF, an EDMG-CEF, and a data field; and a transmission circuit that transmits the generated transmission signal using one or more channels, wherein the legacy header field includes a data length field expressed by multiple bits, and the data length field indicates, to a legacy terminal, information related to a data length using all of the multiple bits, and indicates, to an EDMG terminal, information related to a data length using a subset of the multiple bits, and uses the remaining bit or bits to indicate information related to the one or more channels in which the transmission signal is transmitted.