Abstract: Aspects of the present disclosure relate to allocating RAN resources among RAN slices using a machine learning model. In examples, the machine learning model may determine an optimal RAN resource configuration based on compute power needs. As a result, RAN resource allocation generation and compute power requirements may improve, even in instances with changing or unknown network conditions. In examples, a prediction engine may receive communication parameters and/or requirements associated with service-level agreements (SLAs) for applications executing at least partially at a device in communication with the RAN. The RAN may generate one or more RAN resource configuration for implementation among RAN slices. Upon a change in network conditions or SLA requirements, an optimal RAN configuration may be determined in terms of required compute power.

Abstract: Some embodiments provide a method that generates different network measurements data (e.g., network topology, bandwidth estimation of different paths, etc.) for a pair of endpoints upon receiving a network administrative request (e.g., an application programming interface (API) request) or by other means (e.g., automatically and without intervention of a user). In some embodiments, the method is implemented by a network measurement agent operating on each endpoint and a centralized service component (e.g., web service layer) executing on a network manager machine (e.g., a controller) that responds to measurement requests. The network measurement agent probes the network periodically (i.e., in certain time intervals) or upon an API request that it receives through the network manager machine to gather the measurement data of a particular network topology between a pair of endpoints.

Abstract: Embodiments of this application provide a load balance method and an apparatus thereof. The method may include the following steps: receiving, by a load balance node, a first service request packet from a service request end, where the first service request packet includes address information of the service request end, address information of a to-be-processed load balance instance, and a MAC address of the load balance node; determining a to-be-processed service member based on the address information of the to-be-processed load balance instance, where the to-be-processed service member is configured to process the first service request packet; and modifying the MAC address of the load balance node in the first service request packet to a MAC address of the to-be-processed service member, to obtain a second service request packet, and sending the second service request packet to a computing node to which the to-be-processed service member belongs.

Abstract: It is presented a method for session analysis in a wireless communication network. The method is performed in a network node of the wireless communication network and comprises receiving a session report from a wireless terminal, the wireless terminal being within a coverage region of the wireless communication network, obtaining a network report associated with the session report, and storing a session network report associated with performance of the obtained network report and performance of the received the session report, for the coverage region. It is also presented a network node, a wireless terminal, a computer program and a computer program product thereof.

Abstract: The present disclosure provides a method (200) in a network device for data transmission over a front haul interface between a first unit and a second unit. The method (200) includes: compressing (210), at the first unit, time domain data in frequency domain and/or spatial domain; transmitting (220) the compressed time domain data along with an associated compression parameter over the front haul interface from the first unit to the second unit; and decompressing (230), at the second unit, the compressed time domain data based on the compression parameter.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: A load balancing method and device, a storage medium and an electronic device are provided. The method includes the following operations. A first node receives cell available resource information of a target cell of a second node from the second node, wherein the cell available resource information includes at least one of: an overlapping situation of the cell with other cells in a frequency domain, an available resource of the cell obtained by performing predetermined processing on an original available resource of the cell according to the overlapping situation of the cell with other cells in the frequency domain, an available resource of one or more beams in the cell, and one or more beam identifiers of the one or more beams in the cell. The first node performs load balancing according to the cell available resource information of the target cell of the second node.

Abstract: Example implementations include a method, apparatus and computer-readable medium of wireless communication. A user equipment (UE) may determine, based on a sidelink resource configuration from a base station, a physical sidelink control/shared channel (PSCCH/PSSCH) occasion to monitor for a sidelink transmission from a second UE. The UE may receive, during the PSCCH/PSSCH occasion, a signal indicative of a sidelink discontinuous reception (DRX) command. The UE may determine to stop monitoring the PSCCH for the PSCCH/PSSCH occasion in response to the sidelink DRX command.

Abstract: A node mesh contains an originating node coupled to one or more nodes, each node having an communications interface input and a communications interface output. Each node has a route table with an association between a header amplitude and an output interface, such that a header having a particular amplitude causes the input node which received the message to couple the message to an associated communications interface output of the node. When the originating node outputs a message with a header amplitude, each node of the node mesh in turn directs the message to an output interface as directed by the node local route table to a terminating node of the node mesh, where the terminating node may be a training processor or inference processor for machine learning applications.

Abstract: Systems and methods presented herein provide for real time communications between service provider subscribers. In one embodiment, a web server is operable to provide a network-to-network interface (NNI) with a plurality of service providers, to communicate with the service providers through WebRTC links, and to retrieve contact information of subscribers to the service providers over the WebRTC links. The web server also includes a database operable to store the contact information of the subscribers. The web server is also operable to process a connection request from a first of the subscribers to connect with a second of the subscribers, to retrieve the second subscriber's contact information from the database, to push a notification message to a device of the second subscriber using the second subscriber's contact information (e.g., a user identity), and to establish a WebRTC connection between first and second subscribers when the second subscriber accepts the connection.

Abstract: A macro block size determining unit 1 determines the size of each macro block on a frame-by-frame basis. A macro block dividing unit 2 divides an inputted image into macro blocks each having the size determined by the macro block size determining unit 1. A macro block coding unit 3 determines a coding mode for each of the macro blocks divided by the macro block dividing unit 2, and codes pixel values in each of the macro blocks in the determined coding mode.

Abstract: A simultaneous client wireless device includes wireless modules configured to perform communication functions of a PHY (physical) layer for wireless radios operable in different bands. The simultaneous client wireless device also includes a communication module configured as an intermediate layer between the PHY layer of the wireless modules and a network layer. The communication module is configured to use an application programming interface to retrieve information from the PHY layer and write information to the PHY layer of the wireless modules, perform communication functions of upper MAC (media access control) and lower MAC layers for the wireless bands, and manage simultaneous communications over the wireless bands. The communications over the wireless bands can use a local area network protocol.

Abstract: Systems and methods are provided for efficient handling of user requests to access shared resources in a distributed system, which handling may include throttling access to resources on a per-resource basis. A distributed load-balancing system can be logically represented as a hierarchical token bucket cache, where a global cache contains token buckets corresponding to individual resources whose tokens can be dispensed to service hosts each maintaining a local cache with token buckets that limit the servicing of requests to access those resources. Local and global caches can be implemented with a variant of a lazy token bucket algorithm to enable limiting the amount of communication required to manage cache state. High granularity of resource management can thus enable increased throttle limits on user accounts without risking overutilization of individual resources.

Abstract: A base station may determine one or more parameters of a PDSCH group including multiple PDSCHs for each beam in a plurality of beams, configure a plurality of resources for communication via the PDSCH group based on the determined one or more parameters of the PDSCH group, and transmit, to a UE, an indication of at least one parameter of the one or more parameters of the PDSCH group via the plurality of resources. The base station may also transmit, via the plurality of resources, one or more PDSCHs based on the at least one parameter of the one or more parameters of the PDSCH group. The UE may receive the indication of at least one parameter of the PDSCH group including multiple PDSCHs for each beam in a plurality of beams, and receive, from the base station, one or more PDSCHs based on the indication.

Abstract: A method performed by a source Radio Network Controller (RNC) for handling a relocation of a User Equipment (UE) connection from the source RNC to a target RNC to serve the UE in an ongoing wireless communication is provided. An interface between the source RNC and the target RNC is available. When all radio links in the ongoing wireless communication are controlled by the target RNC and a triggering condition is fulfilled for relocation of the UE connection from the source RNC to the target RNC, the source RNC decides (202) to discontinue to use said interface. Then a core network is used for sending (204) to the target RNC, a triggering of the relocation procedure for relocating the source RNC to the target RNC to serve the UE. A Radio Resource Control (RRC) configuration defined by the target RNC to be used after the relocation to the target RNC is then obtained (205) via the core network.

Abstract: Embodiments relate to a system, program product, and method for employing feature engineering to improve classifier performance. A first machine learning (ML) model with a first learning program is selected. The first selected ML model is operatively associated with a first structured dataset. First features in the first dataset directed at performance of the selected ML model are identified. A second structured dataset is assessed with respect to the identified features in the first dataset, and new features in the second dataset are identified, where the new features are semantically related to the identified features in the first dataset. The first dataset is dynamically augmented with the identified new features in the second dataset. The dynamically augmented first dataset is applied to the selected ML model to subject an embedded learning algorithm of the selected ML model to training using the augmented first dataset.

Abstract: Apparatuses, methods, and systems are disclosed for selecting a base unit in response to a handover condition being triggered. One method (1000) includes selecting (1002) a base unit of multiple base units for handover in response to at least one base unit of the multiple base units triggering a handover condition. The method (1000) includes transmitting (1004) a random access preamble to the base unit. The method (1000) includes performing (1006) a reestablishment procedure to establish communication with one base unit of the multiple base units in response to determining an inability to access each base unit of the multiple base units that meets the handover condition.

Abstract: A radio device receives control information from a node of the wireless communication network. The control information is used for controlling semi-persistent allocation of radio resources of an unlicensed frequency spectrum. Based on the control information, the radio device controls at least one UL radio transmission on the radio resources of the unlicensed frequency spectrum.

Abstract: A device allocates buffer space for storing data received from another device. The other device has a credit balance corresponding to the amount of buffer space. A sending device reduces its number of credits by a cost of a packet and sends the packet. To ensure that the buffer does not overflow, the sending device spends a credit for each entry in the buffer that could be consumed by the sent data packet. When received data is added to the buffer without consuming a new entry, a response packet that returns a credit is sent to the sending device before the data is read from the buffer. Thus, the sending device is enabled to continue sending data without waiting for the buffer to be read, enabling the communication between the two devices to make more efficient use of the buffer.

Abstract: A method and a wireless transmit/receive unit (WTRU) are disclosed. The WTRU comprises a receiver, a transmitter, and a processor. The WTRU receives a system information block (SIB) including a parameter indicating a number of transmissions for a random access message and a parameter indicating transmission duration information for the random access message. The WTRU transmits a random access preamble and a random access message, wherein the random access message is transmitted for a duration indicated by the parameter indicating transmission duration information for the random access message. The WTRU retransmits the random access message, wherein the random access message is retransmitted a number of times indicated by the parameter indicating the number of transmissions for the random access message and for the duration indicated by the parameter indicating transmission duration information for the random access message.