A method for balancing inroute traffic load that contains both guaranteed QoS and best effort traffic. Hierarchical grouping levels are defined with the lowest level corresponding to inroutes within the system. Certain levels have common symbol rates, modulation rates, or both. When a new terminal requires admission, it is assigned to entries in the different hierarchical levels so that the inroute traffic load across all levels are balanced. Terminals are admitted to inroutes based, in part, on their channel quality indicator. Inroute traffic load can periodically rebalance based on elapsed time or terminal redistribution.

The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as Long Term Evolution (LTE).

An embodiment of the present application provides a method for information transmission and device. The method is applied to a first node. The method includes: obtaining, from a second node, a latency requirement of information to be forwarded and the information to be forwarded; and forwarding, to a third node, the information to be forwarded according to the latency requirement of information to be forwarded. In the present application the first node forwards the information to be forwarded to the third node according to the latency requirement of the information to be forwarded, thereby satisfying the needs of services with higher latency requirements.

Provided is a method and device for transmitting a PUSCH. The method for transmitting the PUSCH includes: performing a predetermined measurement; determining parameters for transmitting the PUSCH according to a measurement result of the predetermined measurement; and transmitting the PUSCH based on the parameters for transmitting the PUSCH, thus adjustment of the PUSCH transmission parameters and improved performance of the PUSCH can be achieved.

Systems and methods for enhanced link adaptation are provided. In some embodiments, a method of operation of a network node includes calculating an actual RE efficiency based at least in part on an actual TBS obtained from a specification. The TBS may be obtained from a specification based on LA result and actual buffer data volume. The method also includes determining a real BLER from a searchable repository, based on the actual RE efficiency and an actual BLER. The method may further include calculating an actual outer-loop adjustment (OLA) step based on the actual BLER. The method may further include a dynamic outer-loop up/down step adjustment based on the actual OLA step.

Introduced here are approaches to classifying traffic that comprises data packets. For each data packet, a classification engine implemented on a computing device can identify an appropriate class from amongst multiple classes using a lookup table implemented in a memory. The memory could be, for example, static random-access memory (SRAM) as further discussed below. Moreover, the classification engine may associate an identifier with each data packet that specifies the class into which the data packet has been assigned. For example, each data packet could have an identifier appended thereto (e.g., in the form of metadata). Then, the data packets can be placed into queues based on the identifiers. Each queue may be associated with a different identifier (and thus a different class).

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a base station, control signaling that may identify a configuration for channel state information reporting associated with both a first target block error rate and a second target block error rate. The UE may receive one or more reference signals associated with the channel state information reporting. Further, the UE may transmit, to the base station, the channel state information reporting that may include first channel state information for the first target block error rate and second channel state information for the second target block error rate. In some examples, each of the first channel state information and the second channel state information may be based on the received reference signals.

Techniques for improved wireless reliability are provided. Data is transmitted to a client device using a first set of retry parameters. It is determined that the client device is an augmented reality (AR) or virtual reality (VR) device, and a second set of retry parameters is determined, where the second set of retry parameters are more robust than the first set of retry parameters. Data is transmitted to the client device using the second set of retry parameters.

Methods and systems for determining performance of a hosted application are described herein. Determining the performance of a hosted application may require the calculation of scores corresponding to metrics about user experience, including a user workload context, a user action, a frame rate, a round trip latency time, and image quality. The scores associated with the metrics about user experience may be weighted against each other, in accordance with an equation, described herein, to calculate a value corresponding to the performance of a hosted application. Data may be generated and shared with both a virtual computing environment and an administrator of the virtual computing environment. The data may include instructions to optimize user experience within the virtual computing environment. The instructions may be executed by the virtual computing environment to prepare the virtual computing environment for further user interaction.

A user equipment (UE) includes a processor and a transmitter. The processor performs a neural network computation to generate a plurality of neural network computation results, wherein the neural network computation results are included in a data packet, and the neural network computation results are intermediate data of the neural network computation. The transmitter transmits the data packet to a base station. The data packet includes a descriptor and the descriptor includes parameters and settings corresponding to the neural network computation results.

Embodiments of the present disclosure relate to methods, apparatuses and computer program products for network optimization in a wireless network. A method includes determining a plurality of communication performance metrics associated with a plurality of access points; determining, based on the plurality of communication performance metrics, a plurality of communication performance problems to be solved for the plurality of access points; determining, from a predetermined set of optimization strategies, an optimization strategy for an access point of the plurality of access points based on the plurality of communication performance problems; and causing the access point to apply the determined optimization strategy.

A network management system manages the operation of a home security system in a communication network, such as a mesh network. The home security system can include multiple components such as a camera, a lighting device, a security alarm, a doorbell switch and doorbell chime, and a fingerprint sensor, which connect with the communication network to perform various operations. The network management system monitors environmental parameters of the communication network, such as parameters associated with the access points and components of the home security system, determines an access point to which a component of the home security system is to be connected for efficient operation of the home security system, and connects the component to the communication network via the determined access point.