Disclosed are a communication technique which merges, with IoT technology, a 5G communication system for supporting a data transmission rate higher than that of a 4G system, and a system therefor. The present disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail, security- and safety-related services, and the like) on the basis of 5G communication technology and IoT-related technology. A method for a terminal of a communication system may comprise the steps of: receiving, from a base station, information indicating LBRM; identifying a parameter related to the maximum number of layers for one transport block; identifying the maximum number of layers for the one transport block on the basis of the parameter; identifying a transport block size to which the LBRM is applied, on the basis of the determined maximum number of layers; and transmitting or receiving data to or from the base station on the basis of the transport block size.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving device may receive, from a transmitting device that is configured to perform network coding on information from an originating device, one or more transport blocks (TBs) including the information and associated with an erasure coding scheme. The receiving device may perform decoding using the erasure coding scheme and at least one TB, of the one or more TBs. The at least one TB is selected using one or more time conditions, one or more group conditions, one or more settings indicated by the transmitting device, or a combination thereof. Numerous other aspects are described.

A communication system includes a network-side apparatus and a user-side apparatus. The network-side apparatus includes a transmission function unit configured to perform processing of a transmission function on data received from the user-side apparatus, a quality calculation unit configured to calculate a quality of media data which is transmitted from the user-side apparatus and on which the processing is performed by the transmission function unit; and a transmission function changing unit configured to change the transmission function performed by the transmission function unit in a range in which the calculated quality satisfies a quality required by an application.

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.

Embodiments of the disclosure provide a method for scheduling shared physical resource blocks (PRBs) by a user equipment (UE) in a wireless network and minimizing/reducing contention on the shared PRBs. The method includes: receiving PRBs from a network device, where the PRBs are shared among multiple UEs in the wireless network; detecting data at the UE for transmission; determining a modulation and coding scheme (MCS), a number of PRBs, and a size of a transport block required for data transmission in response to detecting the data; self-scheduling the shared PRBs based on at least one of the determined MCS, the number of PRBs, and the size of the transport block; and sending the data based on the self-scheduling along with self-scheduling information to the network device.

Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

A system and method is provided that enables the recovery of data packets transmitted over an unreliable network. The system and method utilize an algorithm for transmitting the data packets with restoration of lost data during data transfer over UDP Protocol encrypted with DTLS Protocol. Advantageously, the algorithm does not require changes to data for either UDP or DTLS packets, but rather a separate, specifically designed packet is transmitted to the recipient to facilitate and ensure the recovery of any lost data packets over the unreliable network.

Embodiments of the present disclosure relate to a binary clustered forward error correction encoding scheme. Systems and methods are disclosed that define binary clustered encodings of the media packets from which forward error correction (FEC) packets are computed. The different encodings specify which media packets in a frame are used to compute each FEC packet (a frame includes M media packets). The different encodings may be defined based on the quantity of media packets in a frame, M≤floor(2.sup.N), where each bit of the binary representation of N is associated with a different cluster pair encoding of the media packets. Each cluster pair includes a cluster for which the bit=0 and a cluster for which the bit=1. Computing FEC packets using at least two cluster pair encodings provides redundancy for each media packet, thereby improving media packet recovery rates.

Timing considerations for autonomous uplink (AUL) downlink feedback information (AUL-DFI) is disclosed. With the flexible timeline for new radio (NR) operations, signaling of the processing timeline may be used for the served user equipments (UEs) to properly interpret the acknowledgement information in the AUL-DFI. The UE receives a signal identifying a minimum processing time of the serving base station to process AUL. Using the knowledge of the minimum processing time, the UE determines which of the outstanding AUL transmissions are accurately addressed in the AUL-DFI and which are still pending. Additional signaling to the UE may instruct the UE when to implement any changes to transmission parameters also signaled via the AUL-DFI. Slots prior to the indicated change time will be transmitted using the current parameters, while slots after the indicated time will use the updated parameters from the AUL-DFI.

The disclosure relates to a communication technique for combining an IoT technology with a 5G communication system for supporting a higher data transmission rate than a 4G system, and a system therefor. The disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail businesses, security and safety-related services, and the like) on the basis of 5G communication technologies and IoT-related technologies.