Harnessing the Power of Advanced Chipsets for 5G Optimization
The advent of 5G networks is ushering in a transformative era for Communications Service Providers (CSPs), presenting them with a remarkable opportunity to tap into new businesses and revenue streams. These networks promise to revolutionize our lifestyles, work dynamics, and global connectivity by offering lightning-fast, advanced services. Realizing this potential hinges on the ability of 5G networks to accommodate scale expansions involving billions of interconnected devices, machines, and millions of network nodes.
5G, especially in higher frequency bands, requires an array of additional antennas and antenna sites. This amplifies the complexities of site acquisition, particularly in densely populated urban and megacity environments. However, achieving this scale should not be an insurmountable challenge. Instead, it highlights the imperative need for the evolution of existing network architectures and their constituent components. These evolutions must encompass the adoption of cutting-edge technologies and methods, enabling CSPs to swiftly deploy 5G networks while minimizing the Total Cost of Ownership (TCO).
Optimizing Network Elements
Leveraging its rich heritage in silicon innovation and handset design, coupled with advancements in Artificial Intelligence (AI), Nokia has introduced the groundbreaking ReefShark chipsets as part of its 5G network solutions. The ReefShark chipsets are meticulously crafted in alignment with 3GPP 5G New Radio specifications, serving as a strategic tool to alleviate deployment expenses and TCO while aligning with architecture-driven network prerequisites.
These chipsets redefine the boundaries of Large Scale Integration, seamlessly incorporating state-of-the-art systems design and nanometer chip technology. This remarkable feat empowers ReefShark chipsets to pack an abundance of capabilities and functionality into a compact hardware footprint, a stark contrast to products reliant on discrete components. Furthermore, they exhibit significantly reduced energy consumption, resulting in substantial operational cost savings.
Drawing upon years of AI innovation from Nokia Bell Labs, these chipsets ensure that every network element, from massive Multiple Input Multiple Output (mMIMO) antennas to radio and baseband, exhibit quality, performance, and efficiency. The ReefShark chipset excels in minimizing the size of mMIMO antennas by half, accompanied by an impressive 50-60 percent reduction in energy usage. This, in turn, offers a variety of deployment options for CSPs.
Similarly, the ReefShark chipset elevates the baseband compute capacity by integrating plug-in units into the readily available Nokia AirScale baseband module. Notably, AirScale can be seamlessly upgraded to full 5G functionality. These plug-in units deliver an exceptional threefold increase in throughput, elevating Nokia’s already market-leading 28 Gbps to 84 Gbps per module.
Additionally, the chaining capability of AirScale baseband modules supports base station throughputs of up to 6 terabits per second. This capacity empowers CSPs to effectively cater to the surging demands for densification while robustly supporting the enhanced mobile broadband requirements of both individuals and the burgeoning multitude of devices in megacities.
The ReefShark chipset family is made up of a comprehensive lineup of solutions, including the ReefShark Digital Front End for LTE and 5G radio systems, ReefShark RFIC and transceiver for radio heads equipped with mMIMO capabilities, ReefShark integrated transceiver accommodating mMIMO, LTE, and 5G radio systems, and finally, the ReefShark Baseband Processor—a true marvel of an All-in-One Base Station (AIO-BTS) encapsulated within a Baseband System on a Chip (SoC).
AI-Powered Networks Redefined
The evolution of ReefShark chipset technology is rooted in an AI-driven architecture that revolutionizes network capabilities. This innovative approach integrates continuous, real-time, and intricate cognitive processing into the fabric of network operations. By enabling relentless 24/7 learning from live data and the application of sophisticated decision models in real-time, it ushers in an era of unparalleled network performance.
AI is seamlessly woven into the ReefShark design, both in the radio domain, where it enhances beamforming capabilities and in the baseband, where it harnesses the power of augmented deep learning. This synergy empowers the autonomous and cognitive network to execute intelligent, swift actions that result in optimal network optimization and holistic system performance.
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