An operation method of a first terminal in a communication system is provided. The method includes transmitting first SCI to a second terminal, the first SCI including one or more information elements among information indicating time resource(s) for sidelink communication, information indicating frequency resource(s) for the sidelink communication, information indicating a periodicity of physical resources for the sidelink communication, and information indicating an MCS for the sidelink communication. Second SCI is transmitted to the second terminal, the second SCI including information for an HARQ feedback operation and information indicating an NDI. The method further includes performing the sidelink communication with the second terminal based on the first SCI and the second SCI associated with the first SCI.

Channel state information reference signal transmission can be used to estimate channel state information. Although resources needed for channel state information reference signals can be small, when multiple bandwidths are deployed within the same orthogonal frequency division multiplexing bandwidth, estimating the channel state information can comprise a channel state information reference signal resource grid for every bandwidth. Therefore, time-frequency resources for channel state information reference signals can be high and occupy a lot of bandwidth, thereby reducing the number of resources for data transmission. Therefore, a non-orthogonal design for channel state information reference signals for a 5G air interface can mitigate bandwidth loss in a 5G network.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive, from a base station, an indication of a resource allocation for a data communication having a known payload, the known payload comprising data associated with a machine learning process; and communicate with the base station based at least in part on the resource allocation. Numerous other aspects are provided.

Techniques are disclosed relating to downlink control information for wireless communications. In some embodiments, the downlink control information includes code block group information that indicates which code block groups are transmitted and soft buffer handling information that indicates whether to flush previously-determined soft bits that correspond to one or more code block groups.

An apparatus is provided which comprises at least one processor, at least one memory including computer program code, and the at least one processor, with the at least one memory and the computer program code, being arranged to cause the apparatus to at least perform generating a code block including information bits and parity bits, the parity bits being generated by performing a cyclic redundancy check on the information bits, determining the number of parity bits used in generating the code block based on an applied linear error correcting code base graph and/or based on the number of the information bits, and encoding the code block by using the applied linear error correcting code base graph.

A base station transmits a layered data signal to multiple devices that are in close proximity to each other where the layered data signal includes at least first data on a first data layer directed to a first device and second data on a second data layer directed to a second device. The base station also transmits a single control message to both devices where the control message comprises location dependent control information directed to both devices. The control message also comprises data layer control information arranged in multiple fields where data layer control information in a field is associated with a device and allows the associated device to recover the data from a data layer assigned to the device.

A client device is configured to communicate with an access point over a wireless network, exchanging data with the access point over a selected communication channel. The client device stores an identifier of the selected communication channel. After the wireless connection to the access point has ended, the client device initiates a process to reconnect to the access point over the selected communication channel using the stored identifier.

Certain aspects of the present disclosure provide techniques for enhancements to channel state information (CSI) reporting. A method that may be performed by a user equipment (UE) includes obtaining, from a network entity, a CSI reporting configuration for reporting CSI for a channel. The method further includes generating a model of an interference pattern for the channel, and predicting one or more candidate interference levels for one or more upcoming slots using the model. The method further includes reporting information regarding the candidate interference levels to the network entity.

The disclosure relates to a device for transmitting a data stream and a device for receiving a data stream. Disclosed is a device for transmitting a data stream including: an encoder configured to generate a compressed bitstream by encoding input media, generate additional information about the compressed bitstream, and generate a data stream (DS) including the additional information and the compressed bitstream, wherein the additional information includes at least one class information indicating an importance of the compressed bitstream, and a DS transmitter configured to generate a packet by packing the data stream, transmit a plurality of packets including the generated packet to a reception device, and retransmit at least some of the plurality of packets due to transmission error, wherein the retransmitted packets are identified based on at least corresponding class information.

Methods and apparatus for decoding received uplink transmissions using log-likelihood ratio optimization. In an embodiment, a method includes soft-demapping resource elements based on soft-demapping parameters as part of a process to generate log-likelihood ratios (LLR) values, decoding the LLRs to generate decoded data, and identifying a target performance value. The method also includes determining a performance metric from the decoded data, and performing a machine learning algorithm that dynamically adjusts the soft-demapping parameters to move the performance metric toward the target performance value.