Certain aspects of the subject matter described in this disclosure can be implemented in a method for wireless communication. The method generally includes generating a resource element group (REG) bundle for channel estimation, the REG bundle having a plurality of REGs to be transmitted in a plurality of monitoring occasions; and transmitting, to a user equipment (UE), the REG bundle using the plurality of monitoring occasions.

Compressive sensing (CS) channel recovery using history measurements. Both current and history measurements for AoAs estimation, and only use current measurement for coefficient estimation. The dominant angle of arrival (AoA) is estimated using history and current measurements. In Approach 1, the dominant AoA is invariant and the coefficients are uncorrelated. In Approach 2, the dominant AoA is invariant and the coefficients are fully correlated. The remaining AoAs are estimated. The coefficients corresponding to each estimated dominant AoA are estimated. And the channel is recovered.

A first wireless device may generate a first pseudo-random data based on a seed known to a second wireless device, and may transmit a first training signal including first pseudo-random data to the second wireless device for a MI estimation at the second wireless device, the first pseudo-random data being modulated with a first modulation order. The second wireless device may estimate, based on the received first training signal and through the MI estimation, a reception quality associated with at least one modulation order lower than or equal to the first modulation order, and determine a second modulation order of the at least one modulation order lower than or equal to the first modulation order based on the MI estimation, the second modulation order being estimated to provide a reception quality greater than or equal to a reception quality threshold. The MI estimation may be periodic or aperiodic.

Systems, apparatus, and methods for channel estimation and data detection. In one exemplary embodiment, the data is obtained in a two-phase transmission structure that alternates known data with unknown data according to a regular or otherwise pre-determined time interval. Then, the receiver iteratively updates a postulated channel, and provides a predicted channel to the next time slot. Conceptually, the exemplary techniques iteratively improve its postulates for channel condition and data over multiple time slots. More directly, instead of linear detection and decoding of a pilot for channel estimation in each time slot, the exemplary techniques described herein use postulated channel conditions to attempt data detection and use the recovered data from data detection (unknown data) to re-postulate the channel conditions, etc. until channel conditions are stable and/or the next time slot is ready for processing.

At a physical data-link in a network, a current status of a plurality of logical data-channels in the network is determined, using machine learning to infer the current status. A plurality of cross-layer error correction coding schemes for transmissions is adaptively adjusted, based on the determined current status, and based on an application transmitting data. Transmission of the data, and a plurality of information-exchange requirements, are supported, using the adaptively adjusted plurality of error correction coding schemes.

A method for uplink channel estimation in time domain is disclosed. A base station transmits downlink signals to a user equipment before estimating uplink channel. The user equipment estimates downlink channel based on the received signals and feeds back channel tap positions of the estimated downlink channel. Finally, the base stations estimate the uplink channel based on the channel tap positions and pilots transmitted by the user equipment. A system and apparatus employing the method are also disclosed.

Systems, methods, and devices to reduce the channel estimation overhead by collecting data from many UEs and building a location-based mathematical model are disclosed. During building of the model, a reference signal is used to collect location- and signal-related data from connected UEs. Once the model is successfully built, it is then transmitted and/or downloaded to each new UE that connects to the base station. The UEs and/or the base stations then use this model to determine their own transmission parameter values. The UEs also report their location to the base stations, which use the model to estimate channel conditions and adapt transmission parameters for themselves.

A device for performing wireless communication at least one processor configured to generate a condition signal based on at least one parameter associated with the device or the wireless communication, and select at least one of a plurality of signal processing algorithms for performing at least one of a plurality of signal processing functions based on the condition signal, each of the plurality of signal processing functions being associated with the wireless communication.

A method and apparatus for synchronizing a wireless communication receiver such as a Bluetooth receiver, including estimating the condition of the communication channel and operating the receiver either in frequency domain mode or in time domain mode based on the channel condition estimation. A soft threshold is used to estimate the symbols of the access address code. Oversampled data rate received data is processed at symbol rate of the data. Receiver functions are terminated upon determining that no signal that the receiver can decode is being received. Synchronization includes a correlator that processes an entire address code or a correlator that processes the address code in segments.

A method performed by a wireless device for enabling a determination of a reference signal configuration for downlink transmissions in a wireless communications network is provided. The wireless device obtains information indicating the number of used transform coefficients of the total number of transform coefficients determined in a transform-based channel estimator in the wireless device upon receiving a first downlink transmission according to a first reference signal configuration. Also, the wireless device determines, based on the obtained information, if the first reference signal configuration for downlink transmissions to the wireless device is to be modified or not. A wireless device for enabling a determination of a reference signal configuration for downlink transmissions in a wireless communications network is also provided. Further, a network node and method therein for determining a reference signal configuration for transmissions in a wireless communications network are provided.