The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.

The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

Systems and methods for Radio Access Network dynamic functional splits are de-scribed. In one embodiment, a method may be disclosed for Radio Access Network dynamic functional splits, comprising: determining, by a user for a RAN, a first split of different functionalities between a central Unit (CU) and a Distributed Unit (DU), the functionalities including a Radio Resource Controller (RRC), a Packet Data Convergence Protocol (PDCP), a Radio Link Control (RLC); a Medium Access control (MAC), a Physical Layer (PHY), and a Radio Frequency Unit (RF); and wherein the system is able to provide different splits of the functionalities based on factors such as user count, fronthaul capacity, fronthaul usage, required baseband processing capacity, and latency.

A communication device that transmits or receives a radio frame including a preamble and a data field of a physical layer (PHY) is provided. The preamble includes an L-STF (Legacy Short Training Field), an L-LTF (Legacy Long Training Field), an L-SIG (Legacy Signal Field), an EHT-SIG (Extremely High Throughput Signal Field), an EHT-STF (EHT Short Training Field), and an EHT-LTF (EHT Long Training Field), and the EHT-SIG includes a subfield in which information on whether NOMA (Non-Orthogonal Multiple Access) is used in transmission of data included in the data field is set.

A communication device that transmits or receives a radio frame including a preamble and a data field of a physical layer (PHY) is provided. The preamble includes an L-STF (Legacy Short Training Field), an L-LTF (Legacy Long Training Field), an L-SIG (Legacy Signal Field), an EHT-SIG (Extremely High Throughput Signal Field), an EHT-STF (EHT Short Training Field), and an EHT-LTF (EHT Long Training Field), and the EHT-SIG includes a subfield in which information on whether NOMA (Non-Orthogonal Multiple Access) is used in transmission of data included in the data field is set.

The disclosure relates to a communication method and system for converging a 5G communication system for supporting higher data rates beyond a 4G system with a technology for IoT. The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure provides a method performed by a terminal in a wireless communication system. The method includes receiving, from a base station, information configuring a list of aperiodic trigger states for CSI; receiving, from the base station, DCI including a CSI request field, wherein each codepoint of the CSI request field is associated with one trigger state of the list and a CSI-RS is triggered based on a trigger state indicated by the CSI request field; identifying whether a BWP in which the CSI-RS is received is non-active; and in case that the BWP in which the CSI-RS is received is non-active, skipping a measurement of the CSI-RS.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a measurement operation to attain multiple measurements to report to a base station. The measurements may correspond to a first number of bits if reported. The UE may compress the measurements using an encoder neural network (NN) to obtain an encoder output indicating the measurements. This encoder output may include a second number of bits that is less than the first number of bits. The UE may report the encoder output to the base station in this compressed form. At the base station, the encoder output may be decompressed according to a decoder NN. Once the base station decompresses the encoder output, the UE and base station may communicate according to the measurements determined from the decompression. In some cases, the base station may perform load redistribution based on the measurements.

Techniques for measuring and reducing signal misalignment in a dual connectivity environment are discussed herein. When using Non-Standalone Architecture (NSA), a device initially communicates with a network using a Long-Term Evolution (LTE) connection. After the LTE connection is established, an LTE base station may instruct the device to measure signal strength of a neighboring New Radio (NR) cell during a specified LTE measurement gap. When the NR cell is implemented by an indoor NR base station, the NR signal may not be sufficiently synchronized with the LTE signal and the device may be unable to measure the NR signal during the measurement gap. In these cases, the device can determine the frame timing difference between the LTE and NR signals, obtain an adjusted measurement gap that reduces any measurement gap misalignment, and attempt to measure the signal strength of the NR cell using the adjusted measurement gap.