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Marvell and VMware Collaborate to Optimize the RAN

By Peter Carson, Senior Director Solutions Marketing, Marvell

and Tosin Olopade, Technical Product Line Manager, VMware

and Padma Sudarsan, Director of Engineering, RAN Architecture, VMware 

VMware, a pioneer in assisting communication service providers (CSPs) in transforming their networks, is partnering up with Marvell, a leading provider of data infrastructure semiconductor solutions to improve RAN performance and ROI. This collaboration provides solutions that enable CSPs to meet the demands of 5G’s increased capacity and use cases, optimizing the revenue and efficiency of each RAN site. 

RAN sites worldwide are targeted for new technology deployment, where traditional, custom-made equipment is being replaced with servers adapted from data centers. This transformation to virtualized RAN and Open RAN, which replaces hardware with software, is driving the modernization of RAN sites worldwide. This allows CSPs to select servers and software based on their strategic goals, enabling them to offer unique services compared to their competitors. 

However, 5G RAN workloads, particularly Layer 1 (L1), are far more complex and latency-sensitive than the applications that general purpose CPUs have been designed to address. The load on even the most robust CPUs in the case of 5G RAN virtualization can be demanding. The rapid increase in 5G network speeds, reaching multi-gigabit-per-second, and the management of software-centric RAN Distributed Units (DUs) has resulted in rising energy consumption and cooling demands. This leads to increased costs, such as higher electricity bills, and may compromise CSPs’ plans to monetize their RAN investments. 

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A No-Compromise Approach to Open, Cloud-Native 5G RAN

By Peter Carson, Senior Director Solutions Marketing, Marvell

The rise of fully open and optimized vRAN platforms based on globally-proven 5G layer one hardware accelerators, led by Marvell, has given Open RAN operators the industry’s first no-compromise vRAN solution. Unlike the so-called “look-aside” general-purpose alternative, the Marvell architecture is host server CPU agnostic and uniquely enables (1) RAN software programmability, based on open source, industry standard interfaces and (2) inline hardware acceleration that delivers feature, performance and power parity as compared to existing 5G networks — absolutely critical requirements of mobile operators. Listen to what leading operators are saying about inline vRAN accelerators.

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Marvell showcases its new no-compromise Open RAN solution with ecosystem partners using best of cloud, wireless compute architectures

By Peter Carson, Senior Director Solutions Marketing, Marvell

Marvell’s 5G Open RAN architecture leverages its OCTEON Fusion processor and underscores collaborations with Arm and Meta to drive adoption of no-compromise 5G Open RAN solutions

The wireless industry’s no-compromise 5G Open RAN platform will be on display at Mobile World Congress 2022. The Marvell-designed solution builds on its extensive compute collaboration with Arm and raises expectations about Open RAN capabilities for ecosystem initiatives like the Meta Connectivity Evenstar program, which is aimed at expanding the global adoption of Open RAN. Last year at MWC, Marvell announced it had joined the Evenstar program [read more]. This year, Marvell’s new 5G Open RAN Accelerator will be on display at the Arm booth at MWC 2022. The OCTEON Fusion processor, which integrates 5G in-line acceleration and Arm Neoverse CPUs, is the foundation for Marvell’s Open RAN DU reference design.

5G is going mainstream with the rapid rollout of next generation networks by every major operator worldwide. The ability of 5G to reliably provide high bandwidth and extremely low latency connectivity is powering applications like metaverse, autonomous driving, industrial IoT, private networks, and many more. 5G is a massive undertaking that is set to transform entire industries and serve the world’s diverse connectivity needs for years to come. But the wireless networks at the center of this revolution are, themselves, undergoing a major transformation – not just in feeds and speeds, but in architecture. More specifically, significant portions of the 5G radio access network (RAN) are moving into the cloud.

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No-Compromise 5G Open RAN: Compute Architecture

By Peter Carson, Senior Director Solutions Marketing, Marvell

Introduction 

5G networks are evolving to a cloud-native architecture with Open RAN at the center. This explainer series is aimed at de-mystifying the challenges and complexity in scaling these emerging open and virtualized radio access networks. Let’s start with the compute architecture.

The Problem 

Open RAN systems based on legacy compute architectures utilize an excessively high number of CPU cores and energy to support 5G Layer 1 (L1) and other data-centric processing, like security, networking and storage virtualization. As illustrated in the diagram below, this leaves very few host compute resources available for the tasks the server was originally designed to support. These systems typically offload a small subset of 5G L1 functions, such as forward error correction (FEC), from the host to an external FPGA-based accelerator but execute the processing offline. This kind of look-aside (offline) processing of time-critical L1 functions outside the data path adds latency that degrades system performance.

  • Limitations of Open RAN systems based on general purpose processors

Image:  Limitations of Open RAN systems based on general purpose processors

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