Analog Devices announces RadioVerse SoC

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Analog Devices has announced the RadioVerse System-on-Chip (SoC) series providing radio unit (RU) developers with a platform to create more energy efficient 5G RUs.

The series has been designed to provide advanced RF signal processing with expanded digital functionality and RF capacity that will greatly improve 5G RU performance and energy efficiency.

The SoCs are the latest addition to ADI’s RadioVerse ecosystem and combine its Zero IF (ZiF) architecture with significant advances in functional integration and linearisation.

Demand for power efficient RUs is expanding rapidly as global network operators race to deploy 5G infrastructure. With the exponential growth of wireless demand, energy efficiency is a key metric for operators as they seek to reduce their carbon footprint while expanding network capacity. The RadioVerse SoC series requires very low power compared to alternatives and implements advanced algorithms that deliver optimal RU system efficiency.

“RadioVerse SoCs are designed to optimise the full radio solution rather than just a single component or interface,” explained Joe Barry, VP of Wireless Communications at Analog Devices. “Each successive generation has provided expanded capabilities, bandwidth and performance, while improving overall RU efficiency. This new RadioVerse SoC series takes a big step forward by delivering multiple advancements in signal processing to meet the demanding needs of 5G.”

The ADRV9040 is the first in the new RadioVerse SoC series. It offers eight transmit and receive channels of 400MHz bandwidth and integrates advanced digital signal processing functions, including carrier digital up-converters (CDUC), carrier digital down-converters (CDDC), crest factor reduction (CFR) and digital pre-distortion (DPD). This expanded signal processing can eliminate the need for a field-programmable gate array (FPGA), thereby reducing thermal footprint, and total system size, weight, power, and cost.

The SoC’s DPD algorithms were developed using advanced machine learning techniques and are optimised in close collaboration with major power amplifier (PA) vendors to ease the design burden and deliver best-in-class wide bandwidth performance.

The algorithms are fully tested and validated across 4G and 5G use cases, including various PA technology types such as gallium nitride (GaN).

In addition, the ZiF radio architecture simplifies RF filtering and signal chain components, reducing RU cost and development time for band and power variants designs.