Access and user association can be enabled for private and hybrid public/private 5G new radio (NR) networks. More specifically, this disclosure discloses how to perform initial access, user authentication and association, Internet protocol (IP) address assignment for routing, and/or mobility management. The aforementioned process can facilitate the user equipment (UE) to engage in peer-to-peer, local breakout, and private/public network communication, via a local manager (LM) access point, without requiring connectivity to a public radio access network (RAN) or core network.

Among other things, aspects, features, and implementations of wireless mesh networks and wireless mesh network devices are described.

Among other things, aspects, features, and implementations of wireless mesh networks and wireless mesh network devices are described.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

A method performed by a wireless device (110) includes receiving a configuration for one or more data transmission starting positions for a configured uplink, UL, in unlicensed spectrum. The one or more data transmission starting positions include at least a first starting position. The method further includes performing an UL transmission at one of the one or more data transmission starting positions based on when the wireless device is able to access a channel. The UL transmission includes UL control information, UCI, multiplexed in a Physical Uplink Shared Channel, PUSCH. The UCI carries one or more parameters for unlicensed spectrum.

The present technology allows coordination of channels of private wireless networks utilizing shared licensed and unlicensed spectrum. Wireless network operators in an enterprise location register to participate in a consortium and register licensed, shared, and unlicensed spectrum resources to be shared with other members of the consortium. The wireless network operators request an allocation of spectrum resources from the consortium. The consortium generates a radio resource management (“RRM”) plan for shared use of the licensed, shared, and unlicensed spectrum resources. The consortium combines the allocated licensed, shared, and unlicensed spectrum from each of the wireless network operators to meet the target RRM plan. The consortium monitors spectrum utilization to dynamically update the RRM. The consortium monitors spectrum utilization in real time to determine how closely the RRM plan matches the resources allocated to each wireless network operator.

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.

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.

Methods and apparatus for enhancing data rates in a small-cell wireless communication network. In one embodiment, the methods and apparatus utilize “quasi-licensed” CBRS (Citizens Broadband Radio Service) wireless spectrum in conjunction with 3GPP wireless communication network (e.g. 4G LTE or 5GNR) for the delivery of services to a number of enhanced fixed wireless apparatus (CPEe/FWAe) at user or subscriber premises. The various CPEe/FWAe report Channel Quality Indicator (CQI) data to their respective serving base stations, and each base station maps the CQI value to a prescribed configuration (e.g., to the Modulation and Coding Scheme (MCS)) adaptively for the transmission of the data to the CPEe/FWAe. In one implementation, the base stations update the CQI to MCS values adaptively according to ACK/NACK requests received from the CPEe/FWAe.