A communication management resource receives first input indicating a first time-division communication configuration associated with first wireless stations operated by a first wireless network service provider. The communication management resource receives second input indicating a second time-division communication configuration associated with second wireless stations such as operated by a second wireless network service provider. Based on spectral analysis of implementing the first time-division communication configuration and the second time-division communication configuration, the communication management resource controls implementation of time-division communication configurations by the first wireless stations and the second wireless stations.

A method of adaptively allocating, by a network control function, NWCF, radio resources provided by an advanced antenna system, AAS, of a radio access network, RAN. The AAS has an adaptive radio antenna arrangement configured for serving terrestrial radio user equipments, UEs. The NWCF, upon receiving information of an upcoming demand for radio resources of the RAN for serving aerial vehicle radio user equipments, UEs, maps the demand to radio resources to be allocated by the AAS for serving the aerial vehicle UEs, and instructs the AAS to allocate the radio resources for serving the aerial vehicle UEs by adapting the radio antenna arrangement of the AAS. A network control function, an advanced antenna system, and radio cell site equipment are provided.

A method of adaptively allocating, by a network control function, NWCF, radio resources provided by an advanced antenna system, AAS, of a radio access network, RAN. The AAS has an adaptive radio antenna arrangement configured for serving terrestrial radio user equipments, UEs. The NWCF, upon receiving information of an upcoming demand for radio resources of the RAN for serving aerial vehicle radio user equipments, UEs, maps the demand to radio resources to be allocated by the AAS for serving the aerial vehicle UEs, and instructs the AAS to allocate the radio resources for serving the aerial vehicle UEs by adapting the radio antenna arrangement of the AAS. A network control function, an advanced antenna system, and radio cell site equipment are provided.

Apparatuses, systems, and techniques to perform multi-cell physical layer (PHY) processing in a fifth generation (5G) new radio (NR) network. In at least one embodiment, a PHY library implementing a PHY pipeline groups multi-user and/or multi-cell 5G-NR PHY operations for parallel execution as a result of one or more function calls to an application programming interface provided by said PHY library.

Apparatuses, systems, and techniques to perform multi-cell physical layer (PHY) processing in a fifth generation (5G) new radio (NR) network. In at least one embodiment, a PHY library implementing a PHY pipeline groups multi-user and/or multi-cell 5G-NR PHY operations for parallel execution as a result of one or more function calls to an application programming interface provided by said PHY library.

In an aspect, the present disclosure includes a method, apparatus, and non-transitory computer readable medium for wireless communications for a donor node to provide a resource pattern over an integrated access and backhaul (IAB) backhaul. The aspect may include determining, at a central unit (CU) of the donor node, a configuration of a resource pattern for a plurality of IAB-nodes of an IAB network, wherein the configuration of the resource pattern includes a base resource pattern configured with a base periodicity of one or more slots and a plurality of distributed unit (DU) slot format indices within the base periodicity. The aspect may include transmitting, by the CU of the donor node, the resource pattern to one or more of the plurality of IAB-nodes of the IAB network.

The present disclosure relates to: a communication technique merging IoT technology with 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 home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security, and safety-related services, and the like) on the basis of 5G communication technology and IoT-related technology. An NWDAF according to an embodiment of the disclosure transmits analytics information or prediction information related to wireless access technology and a frequency band and, additionally, provides information for identifying service demand levels of each terminal. Therefore, a network operator or an entity in charge of same can cause terminals to use a specific wireless access technology or frequency band. Thus, the operator can reduce the power consumed by unnecessary base stations or resources, or can maximize the quality of service experienced by a user through a predicted result.

Aspects of the subject disclosure may include, for example, performing dynamic beam selection and coordination to support space division multiplexing (SDM) and Full Duplex operation for integrated access and backhaul (IAB) in 5G new radio (NR) networks. The subject disclosure further describes how an IAB node and a serving parent node can coordinate beams used for access and backhaul links dynamically with over-the-air signaling. Other embodiments are described in the subject disclosure.

Improving wireless service subscriber experiences by dynamically managing wireless communication resources using a big data analytic mechanism is presented herein. A method can include receiving, by a system comprising a processor via a software-based interface of a control plane of a communication network, service data corresponding to a request for a wireless communication service; receiving, by the system via the software-based interface of the control plane, contextual data corresponding to a subscription of the wireless communication service; receiving, by the system via the software-based interface of the control plane, network data corresponding to data packet transmissions of a network device within a data plane of the communication network; and configuring, by the system via the software-based interface of the control plane based on a defined set of policies, the service data, the contextual data, and the network data, a resource of the data plane corresponding to the wireless communication service.

Improving wireless service subscriber experiences by dynamically managing wireless communication resources using a big data analytic mechanism is presented herein. A method can include receiving, by a system comprising a processor via a software-based interface of a control plane of a communication network, service data corresponding to a request for a wireless communication service; receiving, by the system via the software-based interface of the control plane, contextual data corresponding to a subscription of the wireless communication service; receiving, by the system via the software-based interface of the control plane, network data corresponding to data packet transmissions of a network device within a data plane of the communication network; and configuring, by the system via the software-based interface of the control plane based on a defined set of policies, the service data, the contextual data, and the network data, a resource of the data plane corresponding to the wireless communication service.