paper-with-me

Papers

Hardware Acceleration for Open Radio Access Networks: A Contemporary Overview

2023-05-16 · Lopamudra Kundu, Xingqin Lin, Elena Agostini, Vikrama Ditya

Radio access networks (RAN) are going through a paradigm shift towards interoperable, intelligent, software-defined, and cloud-native open RAN solutions. A key challenge towards the adoption and deployment of open RAN at scale is performance. Hence, it is critical to leverage the power of hardware acceleration to offload compute-heavy RAN workloads to specialized hardware devices to enable accelerated compute for open RAN deployments. In this article, we provide a state-of-the-art overview of hardware acceleration for open RAN in the fifth generation (5G) wireless networks. We also present a practical implementation of inline hardware acceleration for open RAN layer 1 processing and identify several areas for future exploration towards the sixth generation (6G) wireless networks.

📄 PDF Abstract BibTeX arXiv:2305.09588

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration

2025-10-03 · Jakub Lisowski, Piotr Tyrakowski, Szymon Zyguła, Krzysztof Kaczmarski arxiv

PyRadiomics-cuda is a GPU-accelerated extension of the PyRadiomics library, designed to address the computational challenges of extracting three-dimensional shape features from medical images. By offloading key geometric…

Intelligent O-RAN for Beyond 5G and 6G Wireless Networks

2020-05-17 · Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon, Sukhdeep Singh 외

Building on the principles of openness and intelligence, there has been a concerted global effort from the operators towards enhancing the radio access network (RAN) architecture. The objective is to build an operator-de…

Management

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

2019-06-06 · Abubakar Abid, Ali Abdalla, Ali Abid, Dawood Khan 외

Accessibility is a major challenge of machine learning (ML). Typical ML models are built by specialists and require specialized hardware/software as well as ML experience to validate. This makes it challenging for non-te…

BIG-bench Machine Learning

Hardware-Software Codesign for Software Defined Radio: IEEE 802.11p receiver case study

2020-03-24

Software Defined Radio (SDR) platforms are useful tools to design new wireless technologies or to improve specifications of existing ones. The IEEE 802.11p is the de-facto standard for Wireless Vehicular Ad-hoc NETworks …

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs

2022-01-05 · Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby Banbury 외

Need for the efficient processing of neural networks has given rise to the development of hardware accelerators. The increased adoption of specialized hardware has highlighted the need for more agile design flows for har…

CPU