Abstract: Malicious attacks by certain devices against a radio access network (RAN) can be detected and mitigated, while allowing communication of priority messages. A security management component (SMC) can determine whether a malicious attack against the RAN is occurring based on a defined baseline that indicates whether a malicious attack is occurring. The defined baseline is determined based on respective characteristics associated with respective devices that are determined based on analysis of information relating to the devices. In response to determining there is a malicious attack, SMC determines whether to block connections of devices to the RAN based on respective priority levels associated with respective messages being communicated by the devices.

Abstract: The described technology is generally directed towards beam recovery for an antenna array. One or more recovery beams or recovery beam patterns can be defined for an antenna array, and in response to a failure, the antenna array can be restored to a defined recovery beam or recovery beam pattern. Techniques for defining recovery beams and recovery beam patterns for the antenna array, selecting a recovery beam or recovery beam pattern for the antenna array, and entering a selected recovery beam or recovery beam pattern by the antenna array are also disclosed.

Abstract: Malicious attacks by certain devices against a radio access network (RAN) can be detected and mitigated, while allowing communication of priority messages. A security management component (SMC) can determine whether a malicious attack against the RAN is occurring based on a defined baseline that indicates whether a malicious attack is occurring. The defined baseline is determined based on respective characteristics associated with respective devices that are determined based on analysis of information relating to the devices. In response to determining there is a malicious attack, SMC determines whether to block connections of devices to the RAN based on respective priority levels associated with respective messages being communicated by the devices.

Abstract: The described technology is generally directed towards beam recovery for an antenna array. One or more recovery beams or recovery beam patterns can be defined for an antenna array, and in response to a failure, the antenna array can be restored to a defined recovery beam or recovery beam pattern. Techniques for defining recovery beams and recovery beam patterns for the antenna array, selecting a recovery beam or recovery beam pattern for the antenna array, and entering a selected recovery beam or recovery beam pattern by the antenna array are also disclosed.

Abstract: Deployment of Internet-of-things devices can comprise sensors deployed in remote and hard to reach areas and locations. Due to lack of access to reliable power, these sensors cannot always be connected to a network and also have limited computation power. Consequently, a mechanism can be established to periodically access these sensors and collect data from them. The mechanism can utilize a mobile radio unit device to serve as data collectors. The mobile radio unit device can make use of an adaptive beam scanning to perform sensory data collection via the beam scanning operation. Additionally, the platform can also comprise a radio access network intelligent controller to manage the data collecting radio units by providing specific instructions and data collection methodologies.

Abstract: Given real-time user equipment (UE) measurements from an open radio access network (O-RAN) infrastructure, a radio access network intelligent controller (RIC) can compute a UE distribution context space. The O-RAN can comprise gNode-Bs, centralized units, and distributed units. The UE distribution context space computations can be performed by a UE context correlator module of the RIC. The UE context correlator module can also utilize a pre-defined UE context model, which contains definitions and values for various UE context attributes to generate adaptive beam-forming patterns.

Abstract: An intelligent determination of a set of candidate handover-beams for a radio access network (RAN) can be facilitated by a RAN intelligent controller (RIC). The RIC can obtain data associated with user equipment devices and their current state, historical patterns, and a current state of serving network node devices and neighboring network node devices. Based on the obtained data, a handover procedure can be optimized by the user equipment by estimating the signal quality from a source cell and neighboring cells. Additionally, the user equipment can send measurement reports to the network to identify and quantify the quality of reference signals transmitted by the network node devices.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

Abstract: Malicious attacks by certain devices against a radio access network (RAN) can be detected and mitigated, while allowing communication of priority messages. A security management component (SMC) can determine whether a malicious attack against the RAN is occurring based on a defined baseline that indicates whether a malicious attack is occurring. The defined baseline is determined based on respective characteristics associated with respective devices that are determined based on analysis of information relating to the devices. In response to determining there is a malicious attack, SMC determines whether to block connections of devices to the RAN based on respective priority levels associated with respective messages being communicated by the devices.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

Abstract: A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. Self-organizing service chaining of public safety edge applications, can be enabled in both time and space when triggered by an emergency situation. The RIC platform can perform reassignment of resources and network slices according to historical data and situational analysis. The RIC platform can select and provide the best frequencies and resources to ensure that first responders have communication services that do not get affected by anomalies such as network load, congestion, and/or related degradations.

Abstract: Given real-time user equipment (UE) measurements from an open radio access network (O-RAN) infrastructure, a radio access network intelligent controller (RIC) can compute a UE distribution context space. The O-RAN can comprise gNode-Bs, centralized units, and distributed units. The UE distribution context space computations can be performed by a UE context correlator module of the RIC. The UE context correlator module can also utilize a pre-defined UE context model, which contains definitions and values for various UE context attributes to generate adaptive beam-forming patterns.

Abstract: The described technology is generally directed towards an intent design tool for communication networks. A graphical user interface provided by the intent design tool can include a collection of communication network topology elements and a communication network intent topology design area. Selected communication network topology elements can be placed into the communication network intent topology design area, and connection types between the selected communication network topology elements can also be specified in the communication network intent topology design area, in order to define custom communication network intent topologies.

Abstract: A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. The RIC can utilize radio access network (RAN) resources, for example, beam management procedures to facilitate the use of virtual zones. The virtual zones can be generated dynamically by leveraging collaborating mobile devices from various zones. The virtual zones can be distributed entities that span across real-physical zones but are managed as a single logical entity under a common set of policies. The creation and management of virtual zones can be performed by a group of corresponding RICs as a distributed system.

Abstract: In 5G, a high degree of automated management and control mechanisms can coordinate various radios in relatively close proximity, via a zone, or in a cluster. Reactive automation coupled with hybrid algorithms utilizing internal radio states and known or expected external events or entities can enable a smart proactive 5G automation. The smart proactive 5G automation can minimize signaling between the radios and provide a hybrid distributed and centralized model utilizing a radio access network intelligent controller to increase spectrum efficiencies. Additionally, the smart proactive 5G automation can provide new service opportunities that can be offered by service providers.

Abstract: Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

Abstract: Adapting wireless network coverage areas according to beam parameters corresponding to predetermined radio cluster models is disclosed. The disclosed subject matter can enable determining cluster models corresponding to historic use of a wireless network, e.g., based on historical KPIs, etc., from UEs, RAN devices, antennas, and other sources. The cluster models can correspond to beam parameters. The cluster model of the cluster models can be selected based on a current KPI value, e.g., a real-time or near real-time wireless network measurement, e.g., from a UE, RAN device, antenna, etc. Beam parameters corresponding to the selected cluster model can be communicated to a RAN device which can generate a corresponding radio beam. In an aspect, this can provide wireless connectivity to clusters of devices in the area of the radio beam, wherein the devices of the clusters can, in some embodiments, share same or similar wireless network demands.

Abstract: Given real-time user equipment (UE) measurements from an open radio access network (O-RAN) infrastructure, a radio access network intelligent controller (RIC) can compute a UE distribution context space. The O-RAN can comprise gNode-Bs, centralized units, and distributed units. The UE distribution context space computations can be performed by a UE context correlator module of the RIC. The UE context correlator module can also utilize a pre-defined UE context model, which contains definitions and values for various UE context attributes to generate adaptive beam-forming patterns.

Abstract: Deployment of Internet-of-things devices can comprise sensors deployed in remote and hard to reach areas and locations. Due to lack of access to reliable power, these sensors cannot always be connected to a network and also have limited computation power. Consequently, a mechanism can be established to periodically access these sensors and collect data from them. The mechanism can utilize a mobile radio unit device to serve as data collectors. The mobile radio unit device can make use of an adaptive beam scanning to perform sensory data collection via the beam scanning operation. Additionally, the platform can also comprise a radio access network intelligent controller to manage the data collecting radio units by providing specific instructions and data collection methodologies.

Abstract: The described technology is generally directed towards beam recovery for an antenna array. One or more recovery beams or recovery beam patterns can be defined for an antenna array, and in response to a failure, the antenna array can be restored to a defined recovery beam or recovery beam pattern. Techniques for defining recovery beams and recovery beam patterns for the antenna array, selecting a recovery beam or recovery beam pattern for the antenna array, and entering a selected recovery beam or recovery beam pattern by the antenna array are also disclosed.