Abstract: A computing system having a vDAS compute node implementing at least one virtual network function (NF) in a virtualized distributed antenna system (vDAS) having a plurality of radio units (RUs). The computing system includes server and vDAS compute node. The vDAS compute node includes vDAS container(s) running on a first subset of cores. The server: receives periodic capacity usage reports from the vDAS compute node(s); compares scaling metric data derived from the periodic capacity usage reports to threshold limits to determine if any threshold limits have been reached by any scaling metric data for the vDAS compute node; when any threshold limits have been reached by any scaling metric data for at least one vDAS compute node: cause vDAS compute node to scale capacity by either instantiating or deleting additional vDAS container on second subset of cores of the at least one vDAS compute node.

Abstract: The present disclosure describes various techniques of automatically configuring a repeater system. In one embodiment, the techniques of present disclosure configure the repeater system as a dummy user equipment and connect to a cell served by a base station coupled to the repeater system and establish two-way communication between the repeater system and the base station for determining one or more signaling parameters related to the configuration of the base station. In another non-limiting embodiment, the techniques of the present disclosure operate the repeater system in a listener only mode and perform various signal processing/calculations to determine the one or more signaling parameters related to the configuration of the base station. Once the one or more signaling parameters are determined, the techniques of the present disclosure may configure the repeater system based at least in part on the one or more signaling parameters.

Abstract: One embodiment is directed to a virtual distributed antenna system (vDAS) that comprises at least one physical server computer configured to execute virtualization software that creates a virtualized environment. The at least one physical server computer is configured to instantiate and execute a set of one or more virtual network functions (VNFs) used to implement a virtual master unit (vMU). The vDAS further comprises a plurality of access points (APs), each of the APs associated with a respective set of coverage antennas. Other embodiments are disclosed.

Abstract: A distributed radio access network (RAN) includes a plurality of remote units (RUs) communicatively coupled to a centralized unit. During each of at least one measurement iteration: one of the plurality of RUs is selected as a transmit-mode RU and all other of the plurality of RUs are in receive-mode; the transmit mode-RU transmits a known pattern signal to the receive-mode RUs; and each receive-mode RU determines a frame or symbol boundary difference between when the transmit-mode RU transmitted the known pattern signal and when the respective receive-mode RU received the known pattern signal. Following the at least one measurement iteration: the centralized unit determines a respective timing offset based on each frame or symbol boundary difference; the centralized unit determines a common alignment point for the RUs based on the timing offsets; and each RU's timing is adjusted to align with the common alignment point.

Abstract: One embodiment is directed to adaptive predictive uplink receive chain processing that involves determining predicted data for one or more early data symbols of a slot based on first baseband IQ data received for the slot. The predicted data for the early data symbols of the slot comprises a predicted version of data used at some point in performing a first portion of uplink receive processing for the early data symbols. The first portion of the uplink receive processing for the early data symbols of the slot is performed using the predicted data. Actual data corresponding to the predicted data is determined based on at least second baseband IQ data received for the slot. In connection with performing a remaining portion of the uplink receive processing for the early data symbols, the preliminary output data for the early data symbols of the slot are adapted based on the actual data.

Abstract: A Cloud Radio Access Network (C-RAN) includes at least one cloud node. In a flexi-split architecture, the at least one cloud node implements at least a portion of L1 processing for a distributed unit (DU) using a first at least one processing core and L2 processing for the DU using a second at least one processing core. The L1 and L2 processing can be implemented in the same or different cloud node and/or server as each other. The L1 processing and the L2 processing communicate via a network functional application platform interface (nFAPI). The cloud node(s) also determine at least one self-configuration decision, based on an available hardware configuration, which indicates a number of processor cores needed to implement the C-RAN using the hardware configuration and/or a channel configuration for the C-RAN to use when exchanging RF signals with a plurality of UEs.

Abstract: Systems and methods for select RU transmission power in RANs are provided. In one embodiment, a controller for a RAN is provided. The RAN includes a BBU entity coupled to a plurality of RUs providing wireless communications service to UEs in a coverage area, the controller comprises a processor executing: a power assessment function that determines a transmit power level for RUs based on RU configuration data; an information block dissemination function that communicates an information block to the RUs based on the transmit power level determined by the power assessment function; the information block dissemination function communicates a first information block to a RU that indicates a first power level, and a second information block to a second RU that indicates a second power level different than the first; within the coverage area, the downlink signals of the first RU are isolated from downlink signals of the second RU.