Abstract: Advances in wireless technologies have resulted in the ability of a 5G communication system to support multiple wireless communication applications. Each of these applications requires special handling in all layers and more so in scheduler and physical layer. The present disclosure presents embodiments of dynamical creating a computation instance with a slice of resources allocated for each scheduling input. Each computation instance may be independently managed, controlled, and customized according to the specific requirements of the corresponding scheduling input. Such a dynamic resource allocation allows large number of slices in PHY layer. Furthermore, when overloading happens, one scheduling inputs may be migrated from one distribution unit (DU) to another DU without interruption for end users during scheduling migration. Accordingly, efficiency and robustness of a 5G communication system may be improved to serve multiple wireless communication applications.

Abstract: Advances in wireless technologies have resulted in the ability of a wireless communication system to support wireless communications of different standards, e.g., 5G, LTE, and Wi-Fi. Different Wireless standards have aspects which are very different from each other. Described in the present disclosure are embodiments of architecture with hardware and software split to allow implementation of different wireless standards along a configurable signal process path. The configurable signal process path comprises software configurable operators that may be configured in a desired level of granularity to load desirable software to process signals of various standards on the same hardware. Embodiments of the disclosed architecture with hybrid hardware and software implementation may improve system operation efficiency and lower system complexity to serve communications across multiple wireless standards.

Abstract: A reliable wireless communication system needs good wireless signal detection and interference management. Traditional thinking for interference management mostly relies on interference cancellation or receiver design. In such a design, an interference issue occurs when a receiver is incapable of handling it. Various interference management embodiments are presented in the disclosure. Using HARQ retransmission incorporated with parameter changes, interference management may be improved through interference source control for more effective signal detection and interference management. Additionally, early termination parameters for decoding operation may be learned and implemented separately or jointly with HARQ retransmission. Furthermore, estimated interference power may be improved using machine-learning algorithm based on decoding statistics of the decoder.

Abstract: System and method embodiments are disclosed for scalable open radio access network (O-RAN) fronthaul traffic processing for distributed unit and radio unit. The system may be placed in an O-DU or an O-RU as a scalable O-RAN fronthaul traffic processing unit. O-RAN fronthaul traffic processing may be implemented in unified architecture with hardware-software (HW-SW) interaction in the form of Rx/Tx input descriptors and Rx/Tx output status descriptors. In the transmit direction, fronthaul packets are created with eCPRI header from a symbol memory where RB allocations are stored. In the receive path, from an ingress queues of Ethernet, resource block allocations are created and stored in the symbol memory. The discloses HW-SW interaction mechanism may be agnostic to cores of different architectures, support both RU and DU modes, and provides multiple transport encapsulation formats with scalability to meet various fronthaul traffic processing requirements.

Abstract: Embodiments of unified wireless architecture are disclosed to support multiple types of outer transceiver operation across different wireless standards. In the unified wireless architecture, processing chains of different RAT specifications may be configured using a single digital signal processing or hardware accelerator chain. An interface/boundary between a signal processing engine (SPE) and an outer transceiver (OTRX) may be identified as complex number data samples for all RATs. The OTRX may take RAT-specific unique processing steps away from SPE. Pipelined hardware Accelerator blocks may be configured to perform operations across different RATs with controls over bandwidth, latency, and power.

Abstract: System and method embodiments are disclosed for high availability management for open radio access network (O-RAN). The O-RAN may be deployed on cloud with the O-CU deployed on a region cloud, O-RUs deployed on a cell site O-Cloud, and O-DUs deployed on an edge cloud. Each O-RU may comprise one or more RF clusters, computation clusters, and interface clusters. O-RU instances and O-DU instances may be instantiated with redundancy on the cell site O-Cloud and on the edge cloud, respectively, to serve one or more users. Local and central high-availability (HA) managers may be used to monitor O-RU instance performance for failure prediction/detection and to monitor internal states of each O-DU instance. In response to O-RU instance failure or O-DU internal states beyond/below state thresholds, new O-RU or O-DU instances may be instantiated as replacement instances for O-Cloud high availability management.

Abstract: A reliable wireless communication system needs good wireless signal detection and interference management. Traditional thinking for interference management mostly relies on interference cancellation or receiver design. In such a design, an interference issue occurs when a receiver is incapable of handling it. Various interference management embodiments are presented in the disclosure. Using HARQ retransmission incorporated with parameter changes, interference management may be improved through interference source control for more effective signal detection and interference management. Additionally, early termination parameters for decoding operation may be learned and implemented separately or jointly with HARQ retransmission. Furthermore, estimated interference power may be improved using machine-learning algorithm based on decoding statistics of the decoder.

Abstract: In a grant based system, a user equipment (UE) sends data in an uplink in a request-grant process. The UE first sending a scheduling request, a gNodeB processing the request and scheduling a grant sometime in future, then UE then either sending data if the grant is sufficient or requesting for another grant with more capacity to accommodate data sending. Such a proceeding could cause serious latency in network access. Described in the present patent disclosure are embodiments to reduce the access time by giving proactive grants through inspecting downlink (DL) data sent to the UE or uplink data being transmitted from the UE. The uplink data may be predictive since it maybe in lieu of requirement for sending a TCP acknowledgement for the DL TCP data scheduled earlier. For voice calls, a ML system for system may be deployed to predict when proactive UL grants may be given.

Abstract: In a typical data plane application, there is a packet dispatcher which receives packets from the underlying subsystem for distribution among various threads/processes for further processing. These threads/processes may run on various processing elements (PEs) and pass through multiple stages of processing. As new generation system-on-a-chip (SoC) architectures have multiple heterogeneous clusters with corresponding PEs, packet processing may traverse through multiple PEs in different clusters. Since latencies/performance for different clusters/PEs may be different, packet processing on the SoC may take a variable amount of time, which may lead to unpredictable latencies. The present disclosure provides embodiments to solve the problem of packet processing on heterogeneous clusters/PEs by providing a fast path enabler to the applications for SoC architecture awareness.

Abstract: System and method embodiments are disclosed for wireless channel information sharing to improve system performance in a wireless communication system. A software convergence layer is incorporated to query and keep track of all clients connected with the wireless communication system through different wireless technologies, such as 5G and/or WLAN. The shared channel information may be modeled into a set of coordinates. For each coordinate, a set of operational parameters, such as beamforming weights, Tx and Rx rate, Tx power, and Rx gain on a per-channel basis are determined. These operational parameters are passed onto schedulers of the different wireless technologies, which then use these operational parameters when clients are around corresponding coordinates.

Abstract: System and method embodiments are disclosed for high availability management for open radio access network (O-RAN). The O-RAN may be deployed on cloud with the O-CU deployed on a region cloud, O-RUs deployed on a cell site O-Cloud, and O-DUs deployed on an edge cloud. Each O-RU may comprise one or more RF clusters, computation clusters, and interface clusters. O-RU instances and O-DU instances may be instantiated with redundancy on the cell site O-Cloud and on the edge cloud, respectively, to serve one or more users. Local and central high-availability (HA) managers may be used to monitor O-RU instance performance for failure prediction/detection and to monitor internal states of each O-DU instance. In response to O-RU instance failure or O-DU internal states beyond/below state thresholds, new O-RU or O-DU instances may be instantiated as replacement instances for O-Cloud high availability management.

Abstract: Described in the present disclosure are system and method embodiments for 5G and WLAN private network convergence to improve Quality of service (QoS) and Quality of experience (QoE) by switching, steering or splitting the traffic using a cognitive layer. The Cognitive layer may sense signal conditions and learn user preferences for traffic allocation between available Wi-Fi and 5G networks. In embodiments, the cognitive layer may comprise an Artificial Intelligence (AI) or Machine Learning (ML) module, signal conditions sensor, and user QoS/QoE aware schedulers. A cloud-based service controller may be incorporated to make decisions on user QoS and QoE allocation based on the cognitive layer input. Implementation of the network convergence embodiments may improve QoS/QoE.

Abstract: Advances in wireless technologies have resulted in the ability of a 5G communication system to support multiple wireless communication applications. Each of these applications requires special handling in all layers and more so in scheduler and physical layer. The present disclosure presents embodiments of dynamical creating a computation instance with a slice of resources allocated for each scheduling input. Each computation instance may be independently managed, controlled, and customized according to the specific requirements of the corresponding scheduling input. Such a dynamic resource allocation allows large number of slices in PHY layer. Furthermore, when overloading happens, one scheduling inputs may be migrated from one distribution unit (DU) to another DU without interruption for end users during scheduling migration. Accordingly, efficiency and robustness of a 5G communication system may be improved to serve multiple wireless communication applications.

Abstract: System and method embodiments are disclosed to improve radio access network coverage area, increase throughput, and reduce power consumption in user equipment (UE). Downlink (DL) and uplink (UL) are disaggregated in one or more radio units (RUs). A UE receives DL data packets from a DL RU and uploads UL data packets to a UL RU disaggregated from the DL RU. The UL RU couples to a distributed unit (DU) directly or via the DL RU such that an acknowledgment or error message for successful or unsuccessful reception of the UL data packets may be sent back to the UE via the DL RU. The DU may track a UE motion trajectory and re-map UL traffic from one UL RU to another UL RU. Embodiments of DL/UL disaggregation may improve power efficiency and be advantageous for various applications such as internet of things, cyber physical systems, 5G communications, etc.

Abstract: With advanced compute capabilities and growing convergence of various wireless standards, it is desired to run multiple wireless standards on a single hardware together. Embodiments are disclosed for lower MAC protocol processing across multiple wireless standards and multiple radios. A common hardware may be used for processing lower MAC flows across multiple wireless standards, e.g., Wi-Fi, LTE, or 5G NR, multiple radios within a wireless standard, multiple users within a wireless standard, and/or different directions of radio. The implementation may support partial data processing of a flow, switching across flows, and context saving/restoring of flows. Furthermore, for better performance, looking ahead of flows and prefetching of context and data may also be implemented. Embodiments of the present patent disclosure may result in a very area-efficient and power-efficient hardware implementation for lower MAC protocol processing.

Abstract: With advanced compute capabilities and growing convergence of wireless standards, it is desirable to run multiple wireless standards, e.g., 4G, 5G NR, and Wi-Fi, on a single signal processing system. In the present disclosure, two baseband processors are used with each processor dedicated for one type of signal processing, such as 5G or Wi-Fi. The two baseband processors are interlinked via a chip-to-chip interconnect link for ingress and egress data transfer between the two processors. These two processors share an Ethernet link for benefits including cost saving, reduction in overall chipset power, and reduced form factor of the enclosure. Application of the disclosed embodiments may realize concurrent 5G Fronthaul and Wi-Fi traffic processing on the same Ethernet link. Such an application may be applied to other related scenarios, including Ethernet link sharing for dual Wi-Fi baseband processors, and Ethernet link sharing for Wi-Fi and gNodeB deployments, etc.

Abstract: In a typical data plane application, there is a packet dispatcher which receives packets from the underlying subsystem for distribution among various threads/processes for further processing. These threads/processes may run on various processing elements (PEs) and pass through multiple stages of processing. As new generation system-on-a-chip (SoC) architectures have multiple heterogeneous clusters with corresponding PEs, packet processing may traverse through multiple PEs in different clusters. Since latencies/performance for different clusters/PEs may be different, packet processing on the SoC may take a variable amount of time, which may lead to unpredictable latencies. The present disclosure provides embodiments to solve the problem of packet processing on heterogeneous clusters/PEs by providing a fast path enabler to the applications for SoC architecture awareness.

Abstract: Advances in wireless technologies have resulted in the ability of a 5G communication system to support multiple wireless communication applications. Each of these applications requires special handling in all layers and more so in scheduler and physical layer. The present disclosure presents embodiments of dynamical creating a computation instance with a slice of resources allocated for each scheduling input. Each computation instance may be independently managed, controlled, and customized according to the specific requirements of the corresponding scheduling input. Such a dynamic resource allocation allows large number of slices in PHY layer. Furthermore, when overloading happens, one scheduling inputs may be migrated from one distribution unit (DU) to another DU without interruption for end users during scheduling migration. Accordingly, efficiency and robustness of a 5G communication system may be improved to serve multiple wireless communication applications.

Abstract: With advanced compute capabilities and growing convergence of wireless standards, there is requirement to run multiple wireless standards, e.g., 4G, 5G, and Wi-Fi, on a single hardware together. Typical solution includes reserving some computing resources for specific wireless standards. Such a resource strategy may not be optimized or efficient according to the real needs for various wireless standards. The present disclosure presents embodiments of using a unified resource controller to take multiple scheduling inputs across various wireless standards, allocate resources among a plurality of configurable processing units, and manage hardware components for data path accelerations including forward error correction, and signal processing implementation. The multiplexing multiple wireless technologies based on spectral utilization may improve the efficiency in power consumption and hardware resources utilization.

Abstract: With advanced compute capabilities and growing convergence of wireless standards, it is desirable to run multiple wireless standards, e.g., 4G, 5G NR, and Wi-Fi, on a single signal processing system, e.g., a system on a chip (SoC). Such an implementation may require simultaneously receiving and transmitting signals corresponding to each wireless standard and also signal processing according to respective requirements. Typical solutions involve providing separate hardware blocks specific to each wireless standard, which in turn requires more area on the SoC and consumes more power. Embodiments of the present disclosure provide a unified hardware that may process signals across different standards in both a transmitting direction and a receiving direction simultaneously.