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.