Patent classifications
H04W36/165
Machine-to-machine (M2M) terminal, base station, method, and computer readable medium
A Machine-to-machine (M2M) terminal (11) comprises a radio communication unit (111) and a controller (112). The radio communication unit (111) is configured to communicate with a base station (13). The controller (112) is configured to change at least one of a cell selection operation, a cell reselection operation, and a handover operation according to whether a specific coverage enhancement processing is required or according to whether the specific coverage enhancement processing is supported by at least one of a cell (13) in which the M2M terminal (11) camps on and a neighbouring cell (14) of the cell (13) which the M2M terminal (11) camps on. It is thus possible to provide an improved technique for allowing the M2M terminal that is supporting a special coverage enhancement processing for M2M terminals to camp on an appropriate cell.
Global optimization process for link associations
According to an aspect, a method comprises acquiring, by a network coordinator apparatus, measurement data indicating link conditions between the access nodes and terminal devices served by the access nodes of a cellular communication system. A network coordinator apparatus builds a globally optimized operating model on the basis of the measurement data by at least simulating a change in at least one association between the access nodes and the terminal devices. Based on the measurement data, an effect of the simulated change on overall performance of the cellular communication system is determined. Upon completing the building, the network coordinator apparatus transmits one or more handover instructions for handover of an association of one or more of the terminal devices according to the built operating model.
Methods, System and Access Point of a WLAN for Handling a Wireless Device Connected to an Access Point
Disclosed is a method performed by an access point, AP (120), of a WLAN (125), for handling a wireless device (140) connected to the AP (120). The method comprises obtaining information on signal quality of signals sent between the AP (120) and the wireless device (140), and when the obtained information on signal quality reveals that the signal quality is below a signal quality threshold, determining a current value of a wireless device characteristic. The method further comprises obtaining, from a pre-emptive handover system (150), an estimation of a likelihood of the wireless device (140) disconnecting from the WLAN for the current value of the wireless device characteristic, wherein the likelihood was determined from statistical information of earlier handling of the wireless device (140) by the AP (120) for different values of the wireless device characteristics. Further, when the received estimation of likelihood is above a likelihood threshold, accelerating a handover process of the wireless device (140) connection from the AP (120) to a network node (130) of a cellular communication network (100).
METHOD, EQUIPMENT AND SYSTEM FOR HANDING OVER CELL IN COMMUNICATION SYSTEM SUPPORTING CARRIER AGGREGATION
A method, an equipment and a system for handing over a cell in a communication system supporting carrier aggregation. The method includes: when a terminal in the communication system moves to the edge of the currently serving cell, the terminal selects one or more neighbor cells from one or more neighbor cells as measurement objects according to the carrier aggregation manner of the one or more neighbor cells; the terminal measures the capabilities of the measurement objects, and obtains one or more measurement results; and the terminal sends a source base station which currently serving the terminal one or more measurement results as capability measurement reports of the one or more neighbor cells. Also provided are an equipment for handing over a cell in a communication system supporting carrier aggregation, a terminal including the said equipment and a communication system including the said terminal.
Method of informing serving cell of uplink interference at neighbor cell caused by unmanned aerial vehicle
A neighboring cell determines that uplink interference from an unmanned aerial vehicle (UAV) exceeds a first threshold at the neighboring cell. The neighboring cell transmits an uplink interference indicator to the UAV. In some examples, the UAV informs its serving cell of the uplink interference experienced by the neighboring cell. The serving cell can utilize information received from the UAV to make handover decisions or scheduling decisions for the UAV that caused the uplink interference. In other examples, the UAV can temporarily refrain from transmitting on at least some of its uplink resources or utilize different uplink resources for uplink data transmissions. In still other examples, the UAV can utilize downlink measurements to select which neighboring base station System Information Block messages should be monitored for an uplink interference indicator.
Communications system
A user communications device having active and idle states operates in a cellular communications network in which user communications devices communicate via network communications devices of cells of the network. History data identifying the cells in which the user communications device has been present whilst in the idle state is maintained. This history data is used by the user communications device or by a network communications device to enable adjustment of cell selection/reselection parameters for the user communications device in the active state.
Distributed unit (DU) failover techniques for high reliability virtualized radio access network architectures
Techniques presented herein may provide Distributed Unit (DU) failover techniques for a virtualized Radio Access Network (vRAN) architecture. In one example, a method may include maintaining, by a management node for a vRAN, service information for a plurality of distributed unit components for the vRAN in which the service information identifies, at least in part, service characteristics and failover rules for the vRAN. The method may further include determining a failure of a particular DU component of the plurality of DU components; and reassigning one or more particular RUs currently assigned to the particular DU component to one or more other DU components based on the service characteristics maintained in the service information and particular failover rules identified in the service information that are associated with each of the one or more particular RUs that are re-assigned.
Methods and systems of an all purpose broadband network with publish subscribe broker network
An example system includes a cellular base transceiver station having an RF coverage area and configured for RF communication with a first entity that is a transceiver device in the RF coverage area, wherein the cellular base transceiver station is communicatively connected to a server through a communication network, wherein the server comprises a first publish-subscribe broker that is part of a publish-subscribe broker network that comprises one or more publish-subscribe brokers, wherein a second entity connected to any of the one or more publish-subscribe brokers in the publish-subscribe broker network accepts communications from the transceiver device if the second entity subscribes to data packets published by the transceiver device, and wherein the data packets published by the transceiver device are routed through the publish-subscribe broker to which the second entity is connected.
Determining measurement period scaling for measurement gaps in 5G/NR
Embodiments includes methods performed by a user equipment, LT, to schedule a plurality of mutually-exclusive repetitive measurement activities in a wireless network. Such embodiments include receiving, from a network node serving the UE, a measurement configuration comprising: least one measurement timing configuration for each of a plurality of mutually exclusive repetitive measurement activities; and identification of a measurement gap pattern for performing the measurement activities. Such embodiments also include selecting an analysis period for a measurement schedule, and determining, over the analysis period, measurement load information related to the measurement configuration. Such embodiments also include determining, based on the measurement load information, a measurement time scaling factor and a scaled measurement time for each measurement activity. Some embodiments include determining a measurement schedule and/or performing measurements based on the scaled measurement time. Embodiments also include methods performed by network nodes, and UEs and network nodes configured to perform such methods.
AI-BASED MODEL USE FOR NETWORK ENERGY SAVINGS
An apparatus and system of providing energy saving in a network are described. A target node receives, from a source node, a handover request to handover a UE due to at least one of entry of the source node into a power saving state or mobility optimization. In response, the target node transmits a relative energy efficiency value of Bits per Joule and periodic feedback related to a status of the UE for training an AI/ML energy saving model and stops the feedback in response to a stop parameter being met. The stop parameter is a first of: a predicted period of the source node to stay in the power saving state or time for a UE to connect to the target node, a percentage of UEs handed over that enter an idle or inactive state, and a percentage of UEs handed over that are further handed to another node.