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.

Abstract: Enhanced Common Packet Radio Interface (eCPRI) based Fronthaul forms the foundation for open radio access network (O-RAN). O-RAN envisages splitting the radio into two parts, a Distributed Unit (DU) and Radio Units (RU), interconnected using high speed Fronthaul links. O-RAN and eCPRI for 5G/NR place demands for high speed Fronthaul with low latency, and high network bandwidth requirements. In the present disclosure, embodiments for configurable eCPRI Fronthaul solutions are disclosed. Various hardware accelerator implementations are presented for control plane and user plane traffic. The hardware accelerator implementation may support DU and RRU functionality required by eCPRI with minimal software intervention. The configurable eCPRI Fronthaul may support different data flows and meet different performance demands of DU and RRU.

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: Enhanced Common Packet Radio Interface (eCPRI) based Fronthaul forms the foundation for open radio access network (O-RAN). O-RAN envisages splitting the radio into two parts, a Distributed Unit (DU) and Radio Units (RU), interconnected using high speed Fronthaul links. O-RAN and eCPRI for 5G/NR place demands for high speed Fronthaul with low latency, and high network bandwidth requirements. In the present disclosure, embodiments for configurable eCPRI Fronthaul solutions are disclosed. Various hardware accelerator implementations are presented for control plane and user plane traffic. The hardware accelerator implementation may support DU and RRU functionality required by eCPRI with minimal software intervention. The configurable eCPRI Fronthaul may support different data flows and meet different performance demands of DU and RRU.

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: Enhanced Common Packet Radio Interface (eCPRI) based Fronthaul forms the foundation for open radio access network (O-RAN). O-RAN envisages splitting the radio into two parts, a Distributed Unit (DU) and Radio Units (RU), interconnected using high speed Fronthaul links. O-RAN and eCPRI for 5G/NR place demands for high speed Fronthaul with low latency, and high network bandwidth requirements. In the present disclosure, embodiments for configurable eCPRI Fronthaul solutions are disclosed. Various hardware accelerator implementations are presented for control plane and user plane traffic. The hardware accelerator implementation may support DU and RRU functionality required by eCPRI with minimal software intervention. The configurable eCPRI Fronthaul may support different data flows and meet different performance demands of DU and RRU.

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.

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, it is desirable to run multiple wireless standards, e.g., 4G, 5G NR, and Wi-Fi, on a single signal processing system. Automatic gain control (AGC) is a process of converging on a gain level for optimum signal reception considering the dynamic range of all the components in the receive chain, including analog and digital parts. For certain wireless standard such as Wi-Fi, AGC is required to complete within a short interval. Both RF and baseband gains have to be adjusted within this short time. Discloses in the present disclosure are embodiments of a high-speed and low pin-count interface between an RF circuit and a baseband circuit for AGC communication. The high-speed interface provides a light-weight serial protocol over one or more low-voltage differential signaling (LVDS) channels to meet a low-latency requirement for gain updates.

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: 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: 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. Automatic gain control (AGC) is a process of converging on a gain level for optimum signal reception considering the dynamic range of all the components in the receive chain, including analog and digital parts. For certain wireless standard such as Wi-Fi, AGC is required to complete within a short interval. Both RF and baseband gains have to be adjusted within this short time. Discloses in the present disclosure are embodiments of a high-speed and low pin-count interface between an RF circuit and a baseband circuit for AGC communication. The high-speed interface provides a light-weight serial protocol over one or more low-voltage differential signaling (LVDS) channels to meet a low-latency requirement for gain updates.

Abstract: With advanced compute capabilities and growing convergence of wireless standards and artificial intelligence (AI) applications, there is a requirement to run multiple wireless standards, e.g., 4G LTE, 5G NR and Wi-Fi, and AI on a single hardware together. Typical solutions include reserving some compute resources for specific wireless standards and a dedicated AI resource due to different precision compared to baseband processing. Typical solutions for signal processing with converged wireless standards and machine learning (ML) applications include having dedicated hardware acceleration and reserving some commutating or processing resources for specific wireless standards and a dedicated AI operation. Such approaches result in inefficient use of resources and lack of operation flexibility.

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: 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.

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.