Digital mobile fronthaul based on delta-sigma modulation employing a simple self-coherent receiver

Abstract

The coherent digital radio-over-fiber (DRoF) system is a promising candidate for future mobile fronthaul networks (MFNs) due to its high receiver sensitivity and excellent robustness against nonlinearities. However, conventional coherent receivers with complicated structure and heavy algorithms are too expensive and power-hungry for cost-sensitive MFN applications. In addition, currently deployed digital MFNs based on common public radio interface (CPRI) suffer from low spectral efficiency and high data rate. Towards these issues we propose a novel DRoF downlink scheme employing a simple self-coherent receiver. In baseband unit (BBU), the radio signal is converted to a digital bit stream by a band-pass delta-sigma modulator (BP-DSM), which can be simply recovered with the utilization of a band-pass filter at the receiver. In remote radio unit (RRU), an electro-absorption modulated laser (EML) acts as a low-cost coherent homodyne receiver in virtue of injection locking technique. In the experiment, the injection-locked operation of the DSM signal is successfully achieved, and two modified schemes are proposed for the DSM signal to increase the locking range with a tolerable sensitivity penalty. The experimental results demonstrate the superiority of our approach in two aspects: 1) the EML-based coherent receiver outperforms a PIN photodiode in terms of receiver sensitivity; 2) compared to the analog RoF system, a 5-dB improvement in loss budget is obtained when DSM is employed with the aid of a simple equalizer.

W-band radio-over-fiber transmission system with delta-sigma modulation and direct detection

“…By oversampling and noise shaping, 1-bit DSM can convert signals of any format, no matter how high the modulation order is, into 1-bit data streams, that is, on-off keying (OOK) signals. Besides avoiding the influence of the saturation effect, DSM can also help improve the signal-tonoise ratio (SNR) as well as reduce the system cost and the complexity of the digital signal processing (DSP) algorithms at the receiver side [27][28][29][30][31] .…”