研究目的
To overcome the limited resolution challenge in current DACs technology for high throughput optical communication systems by proposing a dynamic quantization (DQ) approach, termed as digital-resolution-enhancer (DRE), which mitigates the quantization distortion effects.
研究成果
The proposed digital-resolution-enhancer (DRE) technique significantly improves the received SNR by up to 8dB, enabling the use of low-resolution DACs for high-capacity short-reach links. This advancement facilitates single-Lambda 528Gb/sec coherent transmission for low-cost data-center connections and demonstrates the potential for low-cost, low-power consumption optical links using minimal DACs bits.
研究不足
The study focuses on linear and fixed DPC, and future work should investigate combined optimization of the DPC with the DRE, as well as non-linear pre-distortion.
1:Experimental Design and Method Selection
The methodology involves the use of a dynamic quantization (DQ) approach, termed as digital-resolution-enhancer (DRE), to mitigate quantization distortion effects in digital pre-compensation (DPC) for high throughput optical communication systems. The approach is based on the assumption that quantization is a non-linear deterministic operation, implying that its impact on transmission can be anticipated and minimized.
2:Sample Selection and Data Sources
The study uses numerical simulations and lab experiments to evaluate the performance of the proposed method. The simulations are based on typical coherent systems, and the experiments involve electrical and optical back-to-back (BTB) transmission setups.
3:List of Experimental Equipment and Materials
The equipment includes DACs and ADCs for signal generation and reception, RRC filters for pulse shaping, and linear equalizers for signal compensation. The optical setup involves an IQ Mach-Zehnder Modulator (MZM) for electrical-to-optical conversion and an integrated coherent receiver (ICR) for detection.
4:Experimental Procedures and Operational Workflow
The experimental procedure involves applying RRC filters and pre-compensation filters at the transmitter, implementing the DRE algorithm for quantization, and using linear and non-linear equalizers at the receiver for signal compensation and noise reduction.
5:Data Analysis Methods
The performance of the proposed method is evaluated by comparing the SNR at the receiver with and without the DRE block, using post-equalization to mitigate residual ISI and optimize SNR performance.
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