SYSTEMS AND METHODS FOR APPLICATION AWARE SLICING IN 5G LAYER 2 AND LAYER 1 USING FINE GRAIN SCHEDULING

    公开(公告)号:US20230388996A1

    公开(公告)日:2023-11-30

    申请号:US18230869

    申请日:2023-08-07

    申请人: EdgeQ, Inc.

    IPC分类号: H04W72/12

    CPC分类号: H04W72/12

    摘要: 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.

    Systems and methods for front haul traffic processing on radio units and distributed baseband units

    公开(公告)号:US11653283B2

    公开(公告)日:2023-05-16

    申请号:US17467211

    申请日:2021-09-04

    申请人: EdgeQ, Inc.

    IPC分类号: H04W40/02 H04W56/00 H04W88/10

    摘要: 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. Scalable architecture may be applied for the configurable eCPRI Fronthaul to allow stacking of multiple hardware accelerators via a high-speed network interconnect, and overall performance and throughput may be improved.

    Systems and methods for simultaneous transmission and reception of different radio access technologies using unified hardware

    公开(公告)号:US11581992B2

    公开(公告)日:2023-02-14

    申请号:US17368604

    申请日:2021-07-06

    申请人: EdgeQ, Inc.

    摘要: 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.

    SYSTEMS AND METHODS FOR CONVERGED BASEBAND AND AI OPERATIONS

    公开(公告)号:US20230011602A1

    公开(公告)日:2023-01-12

    申请号:US17369581

    申请日:2021-07-07

    申请人: EdgeQ, Inc.

    摘要: 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. The present patent document discloses embodiments to leverage commonalities in hardware acceleration for converged baseband and AI operators, thus achieving improved efficiency in power consumption and improved hardware resources utilization.

    SYSTEMS AND METHODS FOR IMPROVED DETECTION OF SIGNAL IN WIRELESS SYSTEM

    公开(公告)号:US20240072937A1

    公开(公告)日:2024-02-29

    申请号:US17893978

    申请日:2022-08-23

    申请人: EdgeQ, Inc.

    IPC分类号: H04L1/18 H04L1/00

    CPC分类号: H04L1/1812 H04L1/0054

    摘要: 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. Biasing for the estimated interference power may be implemented separately or jointly with early termination parameter learning and/or HARQ retransmission request with parameter changes to improve signal detection and interference management.

    SYSTEMS AND METHODS FOR APPLICATION AWARE SLICING IN 5G LAYER 2 AND LAYER 1 USING FINE GRAIN SCHEDULING

    公开(公告)号:US20230122453A1

    公开(公告)日:2023-04-20

    申请号:US18082555

    申请日:2022-12-15

    申请人: EdgeQ, Inc.

    IPC分类号: H04W72/12

    摘要: 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.