GPU-accelerated RAN

Their parallel architecture of GPUs makes them suitable for the computational demands of modern Radio Access Networks (RANs), particularly with the advent of 5G, which requires significant signal processing and AI/ML workloads for network optimization.

GPUs can accelerate Near-Realtime RAN Intelligent Controllers, part of the Open RAN architecture, enhancing network performance dynamically. However, effective GPU utilization in RAN requires a comprehensive software stack and adoption of specific programming models like CUDA[1][7].

See also:RAN Intelligent Controller

Citations:

[1] https://developer.nvidia.com/blog/enabling-gpu-acceleration-in-near-realtime-ran-intelligent-controllers/

[2] https://developer.nvidia.com/blog/a-new-frontier-for-5g-network-security/

[3] https://www.run.ai/guides/gpu-deep-learning

[4] https://www.ericsson.com/en/blog/2023/2/evaluating-acceleration-technologies-in-cloud-ran-architectures

[5] https://arxiv.org/pdf/2305.09588.pdf

[6] https://www.vanillaplus.com/2023/04/22/78701-northeastern-university-launches-automated-virtualised-o-ran-private-5g-network-with-ai-automation/

[7] https://developer.nvidia.com/blog/ran-in-the-cloud-delivering-cloud-economics-to-5g-ran/

[8] https://www.linkedin.com/pulse/5g-virtual-du-hardware-acceleration-also-software-kashif-shakil

[9] https://developer.nvidia.com/blog/enabling-the-worlds-first-gpu-accelerated-5g-open-ran-for-ntt-docomo-with-nvidia-aerial/

[10] https://www.lannerinc.com/news-and-events/eagle-lanner-tech-blog/introduction-to-ran-intelligent-controller-ric

[11] https://boinc.bakerlab.org/rosetta/forum_thread.php?id=13754

[12] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3589987/

[13] https://www.forbes.com/sites/stevemcdowell/2023/10/09/nvidia-powers-first-gpu-accelerated-5g-network/?sh=4b8a947869d3

[14] https://www.rcrwireless.com/20240130/opinion/readerforum/three-ways-digital-twins-can-optimize-open-ran-5g-networks-reader-forum

[15] https://www.physicsforums.com/threads/gpu-programming-exploring-benefits-of-faster-computing.387993/

[16] https://www.amd.com/system/files/documents/meeting-the-need-for-power-efficient-5g-cloud-ran.pdf

[17] https://www.lightreading.com/open-ran/why-open-ran-needs-flexible-hardware-acceleration

[18] https://www.sdxcentral.com/5g/ran/definitions/what-is-open-ran-radio-access-network/what-are-open-ran-use-cases/

[19] https://the-mobile-network.com/2019/10/nvidia-aims-guns-at-intel-with-gpu-for-vran-play/

[20] https://youtube.com/watch?v=ncsq91y_Hag

[21] https://youtube.com/watch?v=y6Lr2zSRWSE

[22] https://www.run.ai/guides/multi-gpu/cpu-vs-gpu

[23] https://www.ericsson.com/en/blog/2020/4/hardware-acceleration-5g-vran

[24] https://www.nist.gov/programs-projects/open-ran-research-nist

[25] https://www.redhat.com/en/blog/red-hat-collaborates-with-nvidia-to-offer-gpu-based-5g-vran-solutions-with-red-hat-openshift