Abstract: Disclosed is a virtual base station capable of hosting multiple network operators and/or private networks in a single compute environment. The virtual base station includes a plurality of virtual baseband processors configured to communicate with the plurality of mobile network operators, a supervisor module, a fronthaul network interface configured to be coupled to one or more remote units, and a KPI (Key Performance Indicator) coordinator module coupled to the supervisor module and the one or more virtual baseband processors. The base station may have on or more CBRS (Citizens Broadband Radio Service) Daemons to act as a proxy for obtaining grants to CBRS channels and allocating the CBRS channels to the mobile network operators.

Abstract: Disclosed is a system and methods for creating and maintaining a virtual subnetwork of telecommunication base stations within a wider telecommunication network. In an LTE-based example, the subnetwork includes a connection aggregator that is coupled between the plurality of eNodeBs internal to the subnetwork and one or more MMEs in the outer network. The connection aggregator intercepts all control plane messages between the MMEs and the internal eNodeBs, remaps eNodeB identifiers, and transmits repackaged messages so that the outer network sees the entire subnetwork as a single “giant” eNodeB. The disclosed system and methods enables the operator of the virtual subnetwork to add and shut down eNodeBs as demand for connectivity fluctuates, and to do so such that all changes are unseen by the outer network.

Abstract: Disclosed is a system for tracking and dynamically allocating wireless capacity within a wireless telecommunications network. The system has a plurality of processor levels: a layer of baseband-level capacity processors that are deployed within each baseband processor; a layer of client-level capacity processors that are deployed within each wireless base station; a layer of server-level capacity processors, each of which orchestrate allocation of wireless capacity over a unique domain of wireless base stations; and a master level capacity processor. Wireless capacity is allocated in terms of active connections to wireless devices, and the active connections are quantized and allocated as logical connections, or connection tokens. The system dynamically allocates wireless capacity so that resources are devoted to venues and environments where demand is greatest at any given time.

Abstract: Disclosed is a virtual wireless base station that can dynamically scale its capacity to meet changes in demand for connectivity. The virtual wireless base station includes a plurality of virtual baseband modules, a plurality of interface/router modules, an orchestrator module and a fabric mapper module. Each of the plurality of virtual baseband modules is coupled to the interface/router modules by a low latency switch fabric. The orchestrator determines current and near future demand for connectivity within the virtual wireless base station and either instantiates and connects new virtual baseband processors to meet a rise in demand, or shuts down underutilized virtual baseband processors in case of insufficient demand.

Abstract: The present invention provides modified alphaviruses and compositions, methods, and kits for preparing and using, in particular AAV viral particles pseudotyped with capsids, in particular for use in gene therapy and/or diagnostics.

Abstract: Disclosed is a system and methods for creating and maintaining a virtual subnetwork of telecommunication base stations within a wider telecommunication network. In an LTE-based example, the subnetwork includes a connection aggregator that is coupled between the plurality of eNodeBs internal to the subnetwork and one or more MMEs in the outer network. The connection aggregator intercepts all control plane messages between the MMEs and the internal eNodeBs, remaps eNodeB identifiers, and transmits repackaged messages so that the outer network sees the entire subnetwork as a single “giant” eNodeB. The disclosed system and methods enables the operator of the virtual subnetwork to add and shut down eNodeBs as demand for connectivity fluctuates, and to do so such that all changes are unseen by the outer network.

Abstract: Disclosed is a system and methods for creating and maintaining a virtual subnetwork of telecommunication base stations within a wider telecommunication network. In an LTE-based example, the subnetwork includes a connection aggregator that is coupled between the plurality of eNodeBs internal to the subnetwork and one or more MMEs in the outer network. The connection aggregator intercepts all control plane messages between the MMEs and the internal eNodeBs, remaps eNodeB identifiers, and transmits repackaged messages so that the outer network sees the entire subnetwork as a single “giant” eNodeB. The disclosed system and methods enables the operator of the virtual subnetwork to add and shut down eNodeBs as demand for connectivity fluctuates, and to do so such that all changes are unseen by the outer network.

Abstract: Disclosed is a virtual base station capable of hosting multiple network operators and/or private networks in a single compute environment. The virtual base station includes a plurality of virtual baseband processors configured to communicate with the plurality of mobile network operators, a supervisor module, a fronthaul network interface configured to be coupled to one or more remote units, and a KPI (Key Performance Indicator) coordinator module coupled to the supervisor module and the one or more virtual baseband processors. The base station may have on or more CBRS (Citizens Broadband Radio Service) Daemons to act as a proxy for obtaining grants to CBRS channels and allocating the CBRS channels to the mobile network operators.

Abstract: Disclosed is a virtual wireless base station that can dynamically scale its capacity to meet changes in demand for connectivity. The virtual wireless base station includes a plurality of virtual baseband modules, a plurality of interface/router modules, an orchestrator module and a fabric mapper module. Each of the plurality of virtual baseband modules is coupled to the interface/router modules by a low latency switch fabric. The orchestrator determines current and near future demand for connectivity within the virtual wireless base station and either instantiates and connects new virtual baseband processors to meet a rise in demand, or shuts down underutilized virtual baseband processors in case of insufficient demand.

Abstract: Disclosed is a virtual base station capable of hosting multiple network operators and/or private networks in a single compute environment. The virtual base station includes a plurality of virtual baseband processors configured to communicate with the plurality of mobile network operators, a supervisor module, a fronthaul network interface configured to be coupled to one or more remote units, and a KPI (Key Performance Indicator) coordinator module coupled to the supervisor module and the one or more virtual baseband processors. The base station may have on or more CBRS (Citizens Broadband Radio Service) Daemons to act as a proxy for obtaining grants to CBRS channels and allocating the CBRS channels to the mobile network operators.

Abstract: Disclosed is a system for tracking and dynamically allocating wireless capacity within a wireless telecommunications network. The system has a plurality of processor levels: a layer of baseband-level capacity processors that are deployed within each baseband processor; a layer of client-level capacity processors that are deployed within each wireless base station; a layer of server-level capacity processors, each of which orchestrate allocation of wireless capacity over a unique domain of wireless base stations; and a master level capacity processor. Wireless capacity is allocated in terms of active connections to wireless devices, and the active connections are quantized and allocated as logical connections, or connection tokens. The system dynamically allocates wireless capacity so that resources are devoted to venues and environments where demand is greatest at any given time.

Abstract: An example operation may include one or more of receiving a request to store a skill-based attribute of a user at a database, temporarily storing the skill-based attribute and an identification of one or more storage nodes associated with the skill-based attribute in a temporary data structure of the database, determining whether a predetermined amount of the one or more storage nodes have authenticated the user as having the skill-based attribute, and, in response successful authentication of the skill-based attribute by the predetermined amount of storage nodes, transferring the authenticated skill-based attribute from the temporary data structure to a primary data structure of the database.

Abstract: Disclosed is a virtual wireless base station that can dynamically scale its capacity to meet changes in demand for connectivity. The virtual wireless base station includes a plurality of virtual baseband modules, a plurality of interface/router modules, an orchestrator module and a fabric mapper module. Each of the plurality of virtual baseband modules is coupled to the interface/router modules by a low latency switch fabric. The orchestrator determines current and near future demand for connectivity within the virtual wireless base station and either instantiates and connects new virtual baseband processors to meet a rise in demand, or shuts down underutilized virtual baseband processors in case of insufficient demand.

Abstract: Disclosed is a system for tracking and dynamically allocating wireless capacity within a wireless telecommunications network. The system has a plurality of processor levels: a layer of baseband-level capacity processors that are deployed within each baseband processor; a layer of client-level capacity processors that are deployed within each wireless base station; a layer of server-level capacity processors, each of which orchestrate allocation of wireless capacity over a unique domain of wireless base stations; and a master level capacity processor. Wireless capacity is allocated in terms of active connections to wireless devices, and the active connections are quantized and allocated as logical connections, or connection tokens. The system dynamically allocates wireless capacity so that resources are devoted to venues and environments where demand is greatest at any given time.

Abstract: Disclosed is a mobile edge computing system that provides localized emergency responses and warning exclusively to UEs within a venue or area, and provides location-specific warning within the venue or area. The system includes a component that aggregates the S1-mme interface between the MME and a plurality of baseband units and provides read and write access to the S1-mme interface. The disclosed mobile edge computing system can issue cell-specific public warning system (PWS) messages that are customized for and transmitted exclusively to each individual cell within the venue.

Abstract: Disclosed is a system for securing a wireless telecommunications network that is capable of distributing licensed capacity (in the form of connection licenses) to respond to localized fluctuations in demand. The system includes a master license server and a plurality of local license servers. The local license servers are coupled to a plurality of virtual wireless base stations over a bus. Each of the local license servers has a blockchain implementation that secures the virtual wireless base stations. For example, the blockchain implementation logs each transaction in which connection licenses change ownership among the virtual wireless base stations.

Abstract: Disclosed is a virtual base station capable of hosting multiple network operators and/or private networks in a single compute environment. The virtual base station includes a plurality of virtual baseband processors configured to communicate with the plurality of mobile network operators, a supervisor module, a fronthaul network interface configured to be coupled to one or more remote units, and a KPI (Key Performance Indicator) coordinator module coupled to the supervisor module and the one or more virtual baseband processors. The base station may have on or more CBRS (Citizens Broadband Radio Service) Daemons to act as a proxy for obtaining grants to CBRS channels and allocating the CBRS channels to the mobile network operators.

Abstract: Disclosed is a virtual base station capable of hosting multiple network operators and/or private networks in a single compute environment. The virtual base station includes a plurality of virtual baseband processors configured to communicate with the plurality of mobile network operators, a supervisor module, a fronthaul network interface configured to be coupled to one or more remote units, and a KPI (Key Performance Indicator) coordinator module coupled to the supervisor module and the one or more virtual baseband processors. The base station may have on or more CBRS (Citizens Broadband Radio Service) Daemons to act as a proxy for obtaining grants to CBRS channels and allocating the CBRS channels to the mobile network operators.

Abstract: An order management system comprises a middle tier and a computer-based automatic rule code generation system. The middle tier comprises a state transition engine that manages rule-based state transitions of trade orders for financial products from one state to a next state in progressions of the trade orders. The computer-based automatic rule code generation system: (i) receives a human-readable state transition file that specifies one or more state transition rules and a corresponding condition for each of the one or more state transition rules; and (ii) generates, at compile time, a configuration file that comprises rule code for the one or more state transition rules from the state transition file. The state transition engine runs the rule code in the configuration file at runtime to manage the state transitions for the trade orders.

Abstract: Computer systems and methods test applications of an enterprise computer system. The enterprise computer system comprises a test orchestration engine that is configured to receive a human-readable configuration file that comprises: a test script model that specifies testing activities for an application of the enterprise computer system; an application model that specifies attribute values for the application for the testing of the application; and a script model that specifies context parameters for the testing of the application. The test orchestration engine generates, at compile time, metadata code artifacts from the configuration file; and orchestrate, at run time, testing of the application based on the metadata code artifacts generated from the configuration file.