Fundamental Limits of Electronic Signal Processing in Direct-Detection Optical Communications

Electronic signal processing is becoming very attractive to overcome various impairments that affect optical communications, and electronic dispersion compensation (EDC) represents a typical application in the currently designed systems. However, the inherent limits in performance achievable by electronically processing the signal at the output of a nonlinear photodetector have not received the attention they deserve. In this paper, we investigate the information-theoretic limits of electronic signal processing in transmission systems employing direct photodetection and two possible modulation formats: 1 on-off keying (OOK) with nonreturn-to-zero pulses; and 2 optical duobinary modulation (ODBM). The analysis is based on the computation of the information rate, i.e., the maximum achievable data transfer rate, and accounts for the modulation format as well as relevant parameters of the transmission scheme. In particular, we investigate the impact of sampling rate, uncompensated chromatic dispersion (CD), and quantization resolution of the electrical signal at the output of a direct photodetector. For OOK systems, the obtained results show that the optical signal-to-noise ratio penalty entailed by EDC can be limited to about 2 dB at most values of CD of interest in current applications. Moreover, ODBM systems at high values of CD can almost perform as OOK systems at zero CD. For all the considered modulation formats, the obtained results show that the received electrical signal can be sampled at a rate of two samples per bit interval and quantized with a precision of 3 bits per sample to practically achieve the ultimate performance limits.

[1]  P. Mitra,et al.  The channel capacity of a fiber optics communication system: perturbation theory , 2000, physics/0007033.

[2]  Peter J. Winzer,et al.  Advanced Optical Modulation Formats , 2006, Proceedings of the IEEE.

[3]  Giulio Colavolpe,et al.  A unified framework for finite-memory detection , 2005, IEEE Journal on Selected Areas in Communications.

[4]  Joseph C. Palais,et al.  Fiber Optic Communications Systems , 2002 .

[5]  Jau Tang A comparison study of the Shannon channel capacity of various nonlinear optical fibers , 2006, Journal of Lightwave Technology.

[6]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[8]  Hans-Andrea Loeliger,et al.  On the information rate of binary-input channels with memory , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[9]  Henning Bulow Electronic equalization of transmission impairments , 2002, Optical Fiber Communication Conference and Exhibit.

[10]  Richard D. Gitlin,et al.  Electrical signal processing techniques in long-haul fiber-optic systems , 1990, IEEE Trans. Commun..

[11]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[12]  Alain Glavieux,et al.  Iterative correction of intersymbol interference: Turbo-equalization , 1995, Eur. Trans. Telecommun..

[13]  Jing Li,et al.  On the achievable information rate of asymmetric optical fiber channels with amplifier spontaneous emission noise , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..

[14]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[15]  E. Forestieri,et al.  Maximum-likelihood sequence detection with closed-form metrics in OOK optical systems impaired by GVD and PMD , 2006, Journal of Lightwave Technology.

[16]  I. Djordjevic,et al.  Achievable information rates for high-speed long-haul optical transmission , 2005, Journal of Lightwave Technology.

[17]  M.R. Hueda,et al.  MLSE-based receivers on DWDM lightwave systems , 2004, The Ninth International Conference onCommunications Systems, 2004. ICCS 2004..

[18]  Wei Zeng,et al.  Simulation-Based Computation of Information Rates for Channels With Memory , 2006, IEEE Transactions on Information Theory.

[19]  V. Curri,et al.  Electronic equalization for advanced Modulation formats in dispersion-limited systems , 2004, IEEE Photonics Technology Letters.

[20]  V. Sharma,et al.  Entropy and channel capacity in the regenerative setup with applications to Markov channels , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[21]  S. Kuwano,et al.  Dispersion-tolerant optical transmission system using duobinary transmitter and binary receiver , 1997 .

[22]  F. Buchali,et al.  Performance of turbo equalizers for optical PMD channels , 2006, Journal of Lightwave Technology.

[23]  Shlomo Shamai On the capacity of a direct-detection photon channel with intertransition-constrained binary input , 1991, IEEE Trans. Inf. Theory.

[24]  Alain Glavieux,et al.  Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .

[25]  Rajiv Ramaswami,et al.  Optical Networks , 1998 .

[26]  E. Forestieri,et al.  Evaluating the error probability in lightwave systems with chromatic dispersion, arbitrary pulse shape and pre- and postdetection filtering , 2000, Journal of Lightwave Technology.

[27]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[28]  O.E. Agazzi,et al.  Maximum-likelihood sequence estimation in dispersive optical channels , 2005, Journal of Lightwave Technology.

[29]  Mario Rafael Hueda,et al.  Maximum likelihood sequence estimation receivers for DWDM lightwave systems , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[30]  Jau Tang The Shannon channel capacity of dispersion-free nonlinear optical fiber transmission , 2001 .

[31]  G. Bosco,et al.  Long-distance effectiveness of MLSE IMDD receivers , 2006, IEEE Photonics Technology Letters.

[32]  Mario Rafael Hueda,et al.  Performance of MLSE-based receivers in lightwave systems with nonlinear dispersion and amplified spontaneous emission noise , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[33]  Paul H. Siegel,et al.  On the achievable information rates of finite state ISI channels , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[34]  Werner Rosenkranz,et al.  Performance enhancement for duobinary modulation through nonlinear electrical equalization , 2005 .