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Researchers have developed an innovative technique that combines nonlinear predistortion and digital resolution enhancement to significantly improve data transmission rates and efficiency in data center interconnects, potentially revolutionizing future digital communications. Credit: Peng Cheng Laboratory
Researchers have combined nonlinear pre-distortion with digital resolution enhancement to address challenges associated with digital-to-analog converters (DACs).
Data centers are the backbone of today’s information technology infrastructure. These centralized hubs are built to manage, store, and distribute large quantities of data and applications, acting as the control centers for digital services and businesses globally. They are essential for maintaining data access, enabling scalability, facilitating disaster recovery, and ensuring strong security protocols, thus supporting the smooth operation of our globally connected digital world.
At the heart of data center operations lie data center interconnects, the vital networking infrastructure responsible for facilitating communication between various components within and across data centers. Digital-to-analog converters (DACs) are indispensable components within these interconnects, tasked with converting digital signals into analog signals for transmission over copper cables. Their role in enabling high-speed, cost-effective, and low-latency connectivity cannot be overstated. However, the challenge arises from the requirement for high-resolution DACs, which poses a significant bottleneck due to the associated increase in the costs of optical modules.
Breakthrough in Data Transmission Technology
Addressing this challenge head-on, researchers have presented a groundbreaking solution that combines a look-up-table-based nonlinear predistortion technique with digital resolution enhancement. This innovative approach, reported in Advanced Photonics Nexus, aims to alleviate the limitations imposed by high-resolution DACs while maintaining efficient data transfer and communication within data center interconnects.
The proposed technique has yielded remarkable experimental results, pushing the boundaries of what is achievable in terms of data transmission rates. By employing look-up-table-based predistortion to mitigate nonlinear impairment, and digital resolution enhancement to reduce the demand for DAC resolution, the research team has achieved record-breaking data transmission performance.
Notably, the digital signal processing technique enabled the transmission of signals at rates exceeding 124 GBd PAM-4/6 and 112 GBd PAM-8 over 2 km of standard single-mode fiber using 3/3.5/4-bit DACs. Additionally, it facilitated the transmission of 124 GBd PAM-2/3/4 signals over 40 km of standard single-mode fiber using 1.5/2/3-bit DACs. These results represent a significant advancement in data center interconnect technology, demonstrating the feasibility of supporting the next generation of ethernet links targeting speeds of up to 800-GbE or potentially even 1.6-TbE.
Corresponding author Zhaopeng Xu of Peng Cheng Laboratory underscores the significance of these findings, highlighting that they demonstrate “the transmission of the highest data rates with the lowest-cost digital-to-analog converters for data center interconnects.”
Beyond revolutionizing data center interconnects, these advancements hold promise for transforming various applications across 6G access networks and passive optical networks. By overcoming the challenges associated with high-resolution DACs, this innovative approach also paves the way for more cost-effective and efficient data transmission.
Reference: “Beyond 200-Gb/s O-band intensity modulation and direct detection optics with joint look-up-table-based predistortion and digital resolution enhancement for low-cost data center interconnects” by Qi Wu, Zhaopeng Xu, Yixiao Zhu, Tonghui Ji, Honglin Ji, Yu Yang, Junpeng Liang, Chen Cheng, Gang Qiao, Zhixue He, Jinlong Wei, Qunbi Zhuge and Weisheng Hu, 24 April 2024, Advanced Photonics Nexus.DOI: 10.1117/1.APN.3.3.036007
Source: SciTechDaily