Aspects of the subject disclosure may include, for example, generating, at a first point in time, a first prediction regarding a likelihood that a communication device will attempt to connect to a service of a network at a second point in time that is subsequent to the first point in time, generating, at a third point in time that is prior to the second point in time, a second prediction regarding a scope of coverage of the network at the second point in time, and generating, by the processing system, a first ad-hoc network, modifying, by the processing system, a parameter of a second ad-hoc network, or a combination thereof, in accordance with the first prediction and the second prediction to extend the scope of coverage. Other embodiments are disclosed.

The present disclosure relates to auto-configuration methods and apparatus, and base stations. One example method includes determining physical configuration information of a base station, where the base station includes a control node and at least one hardware node, the physical configuration information of the base station indicates topology information and hardware attribute information of each node that needs to be configured, and nodes that need to be configured include at least one of the at least one hardware node, determining logical mapping configuration information of the base station, where the logical mapping configuration information of the base station indicates a mapping relationship between a hardware resource included in the base station and a logical resource corresponding to the hardware resource.

The present disclosure relates to auto-configuration methods and apparatus, and base stations. One example method includes determining physical configuration information of a base station, where the base station includes a control node and at least one hardware node, the physical configuration information of the base station indicates topology information and hardware attribute information of each node that needs to be configured, and nodes that need to be configured include at least one of the at least one hardware node, determining logical mapping configuration information of the base station, where the logical mapping configuration information of the base station indicates a mapping relationship between a hardware resource included in the base station and a logical resource corresponding to the hardware resource.

A registration method of a user equipment (UE) in a wireless communication system is disclosed. The registration method includes transmitting a registration request message to an access and mobility management function (AMF), wherein the registration request message includes requested network slice selection assistance information (NSSAI) including single (S)-NSSAI corresponding to a network slice to which the UE intends to register with; and receiving, from the AMF, a registration accept message as a response to the registration request message, wherein if at least one of the S-NSSAI included in the requested NSSAI is rejected by the AMF, the registration accept message includes the rejected S-NSSAI and a reason for refusal for the rejected S-NSSAI.

Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Described herein are systems and methods for optimizing buffering of streamed content based on upcoming coverage. For example, during a trip, the bit rate for transmission and receipt of streamed content can be dynamically adjusted based on the upcoming coverage such that when the upcoming network coverage is limited, the bit rate of the streamed content can be increased to ensure the buffer is sufficiently large to allow the user to experience (or appear to experience) uninterrupted streaming during the limited network connectivity. The bit rate can be calculated based on calculating a buffer size that can provide content at the play rate for the duration that the device is in a minimal or no network coverage area.

Facilitating model-driven automated cell allocation in advanced networks (e.g., 5G and beyond) is provided herein. Operations of a method can comprise determining, by a system comprising a processor, a solution to an integer programming problem based on input data associated with a network inventory and configuration data for network devices of a group of network devices included in a communications network. Also, the method can comprise determining, by the system, respective cell identities and respective root sequence index assignments for the network devices. Further, the method can comprise implementing, by the system, a deployment of the respective cell identities and respective root sequence index assignments at the network devices.

Facilitating model-driven automated cell allocation in advanced networks (e.g., 5G and beyond) is provided herein. Operations of a method can comprise determining, by a system comprising a processor, a solution to an integer programming problem based on input data associated with a network inventory and configuration data for network devices of a group of network devices included in a communications network. Also, the method can comprise determining, by the system, respective cell identities and respective root sequence index assignments for the network devices. Further, the method can comprise implementing, by the system, a deployment of the respective cell identities and respective root sequence index assignments at the network devices.

Systems and methods can support identifying pairings and channel parameters in short-range wireless communications such as bluetooth low energy interfaces. Radio frequency sensors may be positioned within an electromagnetic environment where a master wireless device and a slave wireless device share short-range wireless communications. Signals transmitted between the master wireless device and the slave wireless device can be received by the radio frequency sensors. Inter-arrival times for packets within the received signals may be identified. Statistics of the inter-arrival times can be analyzed to identify connection intervals between the master wireless device and the slave wireless device as well as back-to-back interval exchanged within the connection intervals. Packet header contents may be used to reconcile the estimated timing parameters and time slots. Pairings between the master wireless device and the slave wireless device may be identified and tracked along with communication channel parameters.

The invention relates to base stations in communication networks. In more particular the invention relates to cellular base stations such as 3G/4G and WLAN base stations. Some or all of the aforementioned advantages of the invention are accrued with a fully photonic base station (200) that powers itself with solar photons, provides radio network access and relays an optical photonic beam (220, 221, 230, 231) through air encoded with the data from radio signals of computer users and mobile phone users to the Internet and the global telecommunication network. A system engineer can build a network with the inventive base stations in a matter of days. He simply walks to the roof of houses and points the optical beams to other base stations in adjacent houses.