Performance of diverse slow light schemes is analyzed from the vantage point of signal to noise ratio, dynamic range, and power dissipation. Applications that can be most positively affected by using slow light are identified.
A high-power low-noise fiber Brillouin amplifier (FBA) has been demonstrated for slow-light delay buffer. Its features including gain, gain saturation, and noise figure (NF), have been characterized. Among them, the gain saturation is highlighted because it is a fundamental limitation for FBA-based slow-light buffer. It is testified that the gain saturation is more easily achieved for lower signal-to-pump ratio (SPR), and the NF is reduced at higher pump level when below Brillouin threshold. The experiment demonstrated that up to 20-ns delay enhancement could be obtained in this high-power FBA for a -30-dBm input signal, as well as with low NF. Besides, the analysis on how the performance of the high power FBA affects the slow-light delay buffer has been presented.
Polar codes have recently found application as error correction codes for the control information in 5 G wireless communication. Stringent requirements for decoding latency, power consumption, and communication reliability demand efficient hardware implementation of communication modules. One of the key aspects of efficient hardware implementation is a robust quantization scheme. In this paper, we present an empirical approach to analyzing quantization for the Cyclic Redundancy Check-Aided Successive Cancellation List (CA-SCL) decoding algorithm, which is used in the 5 G standard. The paper gives detailed quantization analysis of the CA-SCL algorithm for 11-bit CRC and 4 lists. We proposed a quantization scheme with decoding performance within 0.1 dB of the floating point performance for positive Signal-to-noise ratios (SNRs). It is shown that a decoder with one extra bit achieves performance within 0.1 dB of the floating-point model over a wide range of SNRs and code rates.