Abstract: A reperfusion catheter for controlled reperfusion in an occluded artery is disclosed. A tubular perfusion catheter (12) has a proximal a distal end and a lumen defined in between said ends. The catheter (12) has a dilatator (13) which is sized and shaped to move telescopically in its lumen. The tubular perfusion catheter (12) has at least one perfusion port (16) which, in use, allows, antegrade blood flow to enter the lumen of the perfusion catheter (12). The at least one perfusion port (16) extends in the longitudinal direction of the perfusion catheter (12) such that, in use, full or partial withdrawal of the dilatator (13) out of the lumen of the perfusion catheter (12) permits controlled flow of blood through said perfusion port (16) and out of the distal end of the tubular perfusion catheter.

Abstract: A service group based dynamic optimization of WWAN and WLAN aggregation in user equipment (UE) is described. The UE has a first radio access technology (RAT) interface associated with a Wireless Wide Area Network (WWAN) based interface that is served by a corresponding base station (BS), and a second RAT interface associated with a Wireless Local Area Network (WLAN) based interface that is served by an Access Point (AP), wherein, for downlink communications, the first and second RAT interfaces are aggregated. Each UE belongs to at least one service group, wherein the UE performs service group based dynamic optimization of WWAN and WLAN aggregation, with flow split ratios and resource allocation between RAT interfaces being jointly optimized for each service group and each RAT interface.

Abstract: User equipments (UEs) that have multiple radio access technologies (RATs) are grouped together so that each group may be subjected to its own set of medium access (MAC) protocols for each RAT, while a flow destined for a UE may be communicated via one or multiple aggregated RAT interfaces on the said UE. The network operator or service provider that serves a plurality of subscribers defines a service group for said plurality of subscribers and controls the corresponding virtualized MACs for the said service group.

Abstract: Self-Organizing Network (SON) technology has been developed to make the planning, configuration, management, and self-healing of mobile networks easier and faster, where such planning, configuration and management of the mobile networks are targeted to optimize the value offered to a group of subscribers using criteria such as (a) subscriber type (consumer, corporate, IOT, etc.), (b) service type (mission critical, public safety, VoIP, etc.), (b) subscriber usage volume (high, medium, low), (c) subscriber's requested/subscribed QoS, and (d) subscriber's paying value (i.e., revenue). The same teachings can be extended to also optimize a single subscriber's service or a service type.

Abstract: Any one of the following dual connectivity attributes is assigned to a group profile of each service group: (1) macro cell only (serving both data/control planes via a macro cell base station.), (2) small cell only (serving data/control planes via a small cell base station), (3) dual connectivity enabled-A (serving data plane of UEs via a small cell base station, and serving control plane via a macro cell base station), and (4) dual connectivity enabled-B (serving data plane via both a macro cell base station and a small cell base station, and serving control plane via a macro cell base station), wherein the RAN controller calculates and sets the optimal splitting between the macro cell base station and the small cell base station dynamically, such that desired load balancing is achieved.

Abstract: Self-Organizing Network (SON) technology has been developed to make the planning, configuration, management, and self-healing of mobile networks easier and faster, where such planning, configuration and management of the mobile networks are targeted to optimize the value offered to a group of subscribers using criteria such as (a) subscriber type (consumer, corporate, IOT, etc.), (b) service type (mission critical, public safety, VoIP, etc.), (b) subscriber usage volume (high, medium, low), (c) subscriber's requested/subscribed QoS, and (d) subscriber's paying value (i.e., revenue). The same teachings can be extended to also optimize a single subscriber's service or a service type.

Abstract: Any one of the following dual connectivity attributes is assigned to a group profile of each service group: (1) macro cell only (serving both data/control planes via a macro cell base station.), (2) small cell only (serving data/control planes via a small cell base station), (3) dual connectivity enabled-A (serving data plane of UEs via a small cell base station, and serving control plane via a macro cell base station), and (4) dual connectivity enabled-B (serving data plane via both a macro cell base station and a small cell base station, and serving control plane via a macro cell base station).

Abstract: In Vehicle-to-Infrastructure (V2I) communications, the broadcast data towards the vehicles must use the network resources efficiently while the unicast data must arrive reliably with ultra-low-latency. Furthermore, the connections must remain network-attached while vehicles move rapidly. A system/method are described through which a vehicle with a special communications module and internal computer can connect to one or more 5G vehicular network slices (VNS) with multiple Radio Access Technologies (multi-RAT) in order to efficiently communicate with local or remote transportation information databases and applications, road safety and emergency infrastructures. The infrastructure of this disclosure uses the network-slicing feature of a 5G mobile network to carve out a vehicular data and control planes specialized to offer the vehicular service only.

Abstract: An application-centric model is employed for the storage, searching and retrieval of documents. By entering a command directed to a particular application program, such as clicking on an icon for that program, a user interface panel displays documents stored on the computing device that are associated with that application. From the panel, the user can perform various actions with respect to the displayed documents.

Abstract: Any one of the following dual connectivity attributes is assigned to a group profile of each service group: (1) macro cell only (serving both data/control planes via a macro cell base station.), (2) small cell only (serving data/control planes via a small cell base station), (3) dual connectivity enabled-A (serving data plane of UEs via a small cell base station, and serving control plane via a macro cell base station), and (4) dual connectivity enabled-B (serving data plane via both a macro cell base station and a small cell base station, and serving control plane via a macro cell base station), wherein the RAN controller calculates and sets the optimal splitting between the macro cell base station and the small cell base station dynamically, such that desired load balancing is achieved.

Abstract: A service group based dynamic optimization of WWAN and WLAN aggregation in user equipment (UE) is described. The UE has a first radio access technology (RAT) interface associated with a Wireless Wide Area Network (WWAN) based interface that is served by a corresponding base station (BS), and a second RAT interface associated with a Wireless Local Area Network (WLAN) based interface that is served by an Access Point (AP), wherein, for downlink communications, the first and second RAT interfaces are aggregated. Each UE belongs to at least one service group, wherein the UE performs service group based dynamic optimization of WWAN and WLAN aggregation, with flow split ratios and resource allocation between RAT interfaces being jointly optimized for each service group and each RAT interface.

Abstract: Any one of the following dual connectivity attributes is assigned to a group profile of each service group: (1) macro cell only (serving both data/control planes via a macro cell base station.), (2) small cell only (serving data/control planes via a small cell base station), (3) dual connectivity enabled-A (serving data plane of UEs via a small cell base station, and serving control plane via a macro cell base station), and (4) dual connectivity enabled-B (serving data plane via both a macro cell base station and a small cell base station, and serving control plane via a macro cell base station).

Abstract: User equipments (UEs) that have multiple radio access technologies (RATs) are grouped together so that each group may be subjected to its own set of medium access (MAC) protocols for each RAT, while a flow destined for a UE may be communicated via one or multiple aggregated RAT interfaces on the said UE. The network operator or service provider that serves a plurality of subscribers defines a service group for said plurality of subscribers and controls the corresponding virtualized MACs for the said service group.

Abstract: A joint optimization module (jointly optimizing MRO and MLB) includes: (a) an interpolator receiving a measurement report containing: signal strength/quality values, other performance indicator values, and load values reported by each base station; identifying one or more time instances that lack measurements (of signal strength/quality, performance indicator, or load values), and interpolating values for such time instances; (b) a storage unit storing the received measurement report and interpolated measurement values; (c) a MLB unit receiving the measurement report and outputting optimized HO parameters from a load balancing perspective to an optimizer; (d) a MRO unit receiving the measurement report and outputting optimized HO parameters based on reducing HO related link failures; and (e) an optimizer optimizing, jointly for both MLB and MRO, one or more HO parameters per user group based on the stored measurement reports and interpolated measurement values, the MLB module output, and the MRO module output

Abstract: Methods and systems which utilize, in one embodiment, automatic language identification, including automatic language identification for dynamic text processing. In at least certain embodiments, automatic language identification can be applied to spellchecking in real time as the user types.

Abstract: A hand over (HO) parameter optimization module includes: (a) an interpolator that receives a measurement report comprising: (1) signal strength or signal quality values as measured by an user equipment (UE), (2) performance indicator values as measured by the UE, and (3) load values associated with at least one base station that serves the UE, identifying one or more time instances that lack signal strength, signal quality, performance indicator, or load values, and interpolating values for the identified one or more time instances; (b) storage that stores the received measurement report and interpolated values; and (c) an optimizer that optimizes one or more HO parameters per group based on stored measurement reports and interpolated values.

Abstract: In one embodiment, non-transitory computer-readable medium stores instructions for implementing tagged management of stored items, wherein an embodiment can receive an input indicating the selection of a graphical representation of a file in the GUI of an operating system, and can also receive an input indicating the intent to attach a tag to the file. The system can perform an automatic search through the metadata of files associated with the user and the user account to find the set of files having the tag, responsive to the request to display the set of files. Having located the set of files, an operation can be performed to display the set of files having the requested tag, regardless of the storage location of the files.

Abstract: A hand over (HO) parameter optimization module includes: (a) an interpolator that receives a measurement report comprising: (1) signal strength or signal quality values as measured by an user equipment (UE), (2) performance indicator values as measured by the UE, and (3) load values associated with at least one base station that serves the UE, identifying one or more time instances that lack signal strength, signal quality, performance indicator, or load values, and interpolating values for the identified one or more time instances; (b) storage that stores the received measurement report and interpolated values; and (c) an optimizer that optimizes one or more HO parameters per group based on stored measurement reports and interpolated values.

Abstract: A joint optimization module (jointly optimizing MRO and MLB) includes: (a) an interpolator receiving a measurement report containing: signal strength/ quality values, other performance indicator values, and load values reported by each base station; identifying one or more time instances that lack measurements (of signal strength/quality, performance indicator, or load values), and interpolating values for such time instances; (b) a storage unit storing the received measurement report and interpolated measurement values; (c) a MLB unit receiving the measurement report and outputting optimized HO parameters from a load balancing perspective to an optimizer; (d) a MRO unit receiving the measurement report and outputting optimized HO parameters based on reducing HO related link failures; and (e) an optimizer optimizing, jointly for both MLB and MRO, one or more HO parameters per user group based on the stored measurement reports and interpolated measurement values, the MLB module output, and the MRO module outpu

Abstract: Methods and apparatuses for per display scale factors within a multiple display system are described. In one aspect of the invention, a machine implemented method includes setting a scale factor for each window buffer equal to an extreme scale factor among a plurality of displays. The method further includes transferring data from each window buffer into a corresponding frame buffer for one of the plurality of displays by setting a scale factor of each frame buffer equal to the scale factor of the corresponding display. In one example according to this aspect, the method further includes displaying on a high resolution display and a low resolution display an image, stored in the corresponding frame buffers, with substantially the same physical size even though the displays have different scale factors and pixel densities. Also, the extreme scale factor is one of the largest scale factor or the smallest scale factor.