Adaptive Equalization for Dispersion Mitigation in Multi-Channel Optical Communication Networks

Abstract

Optical communication networks (OCNs) provide promising and cost-effective support for the ultra-fast broadband solutions, thus enabling them to address the ever growing demands of telecommunication industry such as high capacity and end users’ data rate. OCNs are used in both wired and wireless access networks as they offer many advantages over conventional copper wire transmission such as low power consumption, low cost, ultra-high bandwidth, and high transmission rates. Channel effects caused by light propagation through the fiber limits the performance, hence the data rate of the overall transmission. To achieve the maximum performance gain in terms of transmission rate through the OCN, an optical downlink system is investigated in this paper using feed forward equalizer (FFE) along with decision feedback equalizer (DFE). The simulation results show that the proposed technique plays a key role in dispersion mitigation in multi-channel optical transmission to uphold multi-Gb/s transmission. Moreover, bit error rate (BER) and quality factor (Q-factor) below 10 − 5 and above 5, respectively, are achieved with electrical domain equalizers for the OCN in the presence of multiple distortion effects showing the effectiveness of the proposed adaptive equalization techniques.

Time Domain Equalization and Digital Back-Propagation Method-Based Receiver for Fiber Optic Communication Systems

“…e effect of these impairments in a long-haul FOCS are explained as follows. [24]. e transmission quality, and hence the data rate, is reduced due to this critical factor as shown in Figure 2.…”

Mitigation of Nonlinear Distortions for a 100 Gb/s Radio-Over-Fiber-Based WDM Network

“…The parameter E[ζ(t)] explains the expectation function. The gain of electrical amplifier which suppresses the high PAPR [36][37][38] is measured as…”

Extenuation of phase shift influenced nonlinear impairments in fiber optics network

“…In (5), the parameters di [r] and dw [r] are the in phase and quadrature related variables. Hence, calculating variance and correlation among j [r − 1], j [r], w [r − 1], and w [r] using auto and cross-correlation functions is given as…”

“…2,3 Thus, some modern up-gradation is required to enhance system capabilities without compromising the key performance indicators of ultra-reliability and low-latency for future mobile systems. 4 Multiplexing techniques and modulation of high bandwidth can provide ultrahigh data rates, however, the industry has concerns over the linearity of such systems which are mainly affected due to the kerr nonlinear effects, 5 which involve several types of impairments such as cross-phase modulation (XPM), 6 self phase modulation (SPM), 7 four wave mixing (FWM), 8 stimulated Raman scattering (SRS), 9 and nonlinear self-steepening (NSS). 10 XPM, FWM, and SPM effects are related to the variation in nonlinear refractive index, 11 whereas SRS and NSS are introduced by exchange of optical energy among different propagating channels due to high signal power.…”