Patent classifications
H04W72/51
Operation with bandwidth-limited devices in a wireless network
A first communication device allocates respective portions of a communication channel, that includes at least one primary component channel and one or more non-primary component channels, to a plurality of second communication devices, including a bandwidth-limited second communication device configured to operate with a maximum bandwidth that is less than a full bandwidth of the communication channel. The bandwidth-limited second communication device is operating in a particular component channel, and allocation of a frequency portion to the bandwidth-limited second communication device is restricted to the particular component channel. The first communication device transmits a data unit that includes one or both of: respective data for the second communication devices in the respective frequency portions allocated to the respective second communication devices, and one or more trigger frames to prompt transmission of respective data by the second communication devices in the respective frequency portions allocated to the respective second communication devices.
Methods and devices for accessing a radio access network
A method is provided for enabling a User Equipment (102) to access services provided by a Radio Access Network by configuring the User Equipment (UE) with configuration information which comprises rules for selecting one or more of a plurality of access procedures to be used by the UE for accessing services provided by the Radio Access Network which may be a New Radio/5G network (101). Access procedures may include a grant-based procedure; a grant-free procedure and a fallback procedure to be used in cases of failure of an initial access attempt. The rules may be based on the type of service required by the UE such as; transmission and/or reception of data, transmission and/or reception of a voice call, a request for System Information.
Method and system for controlling downlink transmit power
Aspects of the subject disclosure may include, for example, obtaining channel cross correlation data relating to multiple user equipment (UEs) being served in a cell, wherein the channel cross correlation data comprises a correlation coefficient associated with a first UE of the multiple UEs and a second UE of the multiple UEs, identifying that the first UE is experiencing decreasing throughput, responsive to the identifying that the first UE is experiencing decreasing throughput, determining whether the correlation coefficient associated with the first UE and the second UE satisfies a correlation threshold, and, based on a first determination that the correlation coefficient does not satisfy the correlation threshold, adjusting a downlink (DL) transmit power allocation for transmissions directed to the first UE. Other embodiments are disclosed.
Apparatuses and methods for resource unit (RU) allocation signaling to support trigger-based physical layer protocol data unit (TB PPDU) with multi-RU
A wireless communication terminal operating as a Station (STA) is provided. The wireless communication terminal includes a wireless transceiver and a controller. The wireless transceiver performs wireless transmission and reception to and from an Access Point (AP). The controller receives a trigger frame including a Resource Unit (RU) Allocation subfield which has one bit to indicate support of 320 MHz bandwidth from the AP via the wireless transceiver, determines a combination of RUs to be used in a Trigger-Based Physical layer Protocol Data Unit (TB PPDU) according to the RU Allocation subfield, and sends the TB PPDU for Uplink (UL) data transmission to the AP via the wireless transceiver in response to the trigger frame.
Method for providing speech and intelligent computing device controlling speech providing apparatus
A method for providing a speech and an intelligent computing device controlling a speech providing apparatus are disclosed. A method for providing a speech according to an embodiment of the present invention includes obtaining a message, converting the message into a speech, and determining output pattern based on a generation situation of the message, so that it is possible to more realistically convey a situation at a time of message generation to a receiver of TTS. One or more of the voice providing method, devices, intelligent computing devices controlling the voice providing device, and servers of the present invention may include artificial intelligence modules, drones (Unmanned Aerial Vehicles, UAVs), robots, Augmented Reality (AR) devices, and virtual reality (VR) devices, devices related to 5G services, and the like.
Dynamic resource allocation for machine-type communication
Disclosed herein are apparatuses, systems, and methods using or implementing dynamic resource allocation (DRA) of resources for machine-type communication (MTC), as a secondary partition within a system bandwidth. Allocations outside the secondary partition are configured as a primary partition for other than MTC. Apparatuses may perform MTC communications within the secondary partition when DRA configuration information includes allocation information for the secondary partition and the apparatus is configured for MTC. Otherwise, if the apparatus is other than MTC, the apparatus may refrain from performing communications in the secondary partition. Other embodiments are described.
Optimized radio resource management (RRM) measurement relaxation
This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for a scheduled entity to communicate within a wireless communication network. In one aspect, the scheduled entity receives a plurality of neighbor cell measurement relaxation mechanisms from a scheduling entity. The scheduled entity determines one or more channel condition parameters and selects one or more of the pluralities of neighbor cell measurement relaxation mechanisms, based on the determined one or more channel condition parameters. The scheduled entity executes measurement of one or more neighbor cells using the selected one or more neighbor cell measurement relaxation mechanisms.
Transmission power compensation by attenuation mapping in 5G and 6G
For improved messaging reliability in 5G and 6G, mobile users and their base stations can adjust their transmission power according to the current location of the mobile user. Each entity can maintain a map of known attenuation values, including “dead zones”, and can adjust their transmission power and/or reception gain to compensate. Instead of constantly exchanging location-update messages, the users can indicate their speed and direction, and the base station (or other users) can extrapolate the location versus time to determine a future location, and thereby determine the attenuation factor at the new position. In addition, the base station can use a map to follow the mobile user device's progress, and can thereby update the attenuation factor in real-time. If the mobile user makes a change, it can inform the base station at that time, or during initial access. Result: improved reliability, lower energy consumption, improved traffic safety.
System and method for beam management
A method for operating an access node includes receiving motion information from a user equipment (UE) in accordance with a communications beam, determining a predicted area of the UE in accordance with the motion information, configuring multiple tracking beams in accordance with the predicted area of the UE, and sending the multiple tracking beams.
Facilitation of radio access network intelligent controller resource preservation framework for 5G or other next generation network
A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.