Poster Session Abstracts
Fibre Optical Parametric Amplifiers for QAM signal amplification with optimised SBS suppression techniques Mariia Bastamova, Vladimir Gordienko, Nick
Quantum Radio for future network applications
Daniel Gilks, Senior Manager, Reserch, BT Group Plc We present RF to optical conversion using a ‘Quantum Radio’ receiver. By exploiting two photon processes in highly excited atomic vapours, we can embed a narrowband digital encoding onto an optical transmission path. Introducing a radio to optical converter which can be physically separate
Doran, Andrew Ellis, Aston Institute of Photonics Technologies, Aston University Fibre optical parametric amplifiers are promising technology for future fibre optic communications for their virtually wavelength unrestricted abilities for ultra-broadband amplification, phase-sensitive
from optical to electronic/DSP componentry we can anticipate a range of novel network architecture options with radio to optical components used to geofence industrial and transport sites or to follow roads or tunnels. Furthermore, by selecting appropriate atomic electronic states this system could operate over a wide and rapidly reconfigurable frequency range.
and transient-free amplification. Furthermore, modern FOPAs are polarization-insensitive, with low noise and low crosstalk. Currently, the Stimulated Brillouin Scattering (SBS) suppression techniques (commonly pump dithering) mainly contribute to signal degradation. Whilst the systems impact of the pump dithering on a QAM signals is enhanced, general guidelines for the design of the dithering waveform remain to be minimizing both power spectral density to maximize SBS threshold and minimizing spectral width to reduce required-OSNR penalty. The demonstrated required signal OSNR penalty has been decreased by a third with only a modest reduction in SBS threshold by using the dither signal with the largest number of the most narrowly spaced tones by operating with a minimum tone spacing close to the SBS linewidth rather than a conventional spacing of 100MHz.
Fibre Optic Parametric Amplifiers for Communications
Vladimir Gordienko, Research Fellow, Aston University Fibre optical parametric amplifiers (FOPAs) have a great potential to improve transmission capacity of future optical communications due to theoretically unconstrained gain bandwidth not confined to any band, ability of virtually noiseless phase-sensitive amplification and lack of transients.
Recent advances of the FOPA technology have resolved its key issues, whereas the most important advancement was to enable a practical polarisation-insensitive amplification. Consequently, we have demonstrated a robust fully automated (black-box) FOPA operation in the C and L bands simultaneously with gain of ~20dB and output power over 23dBm when amplifying polarisation-multiplexed WDM QAM signals as well as bursty traffic. Additionally, we have demonstrated FOPA to amplify WDM signals in the S band and across continuous bandwidth of 40nm. Finally, we have demonstrated a power budget improvement of a transient-sensitive link by up to 8dB when employing a FOPA with noise figure of ~6dB as a drop-in replacement of an EDFA..
ML-aided mitigation of inter-channel impairments in WDM systems Nelson Castro, Andrew Ellis, Stylianos Sygletos, Aston University Most machine learning (ML) models for
nonlinearity mitigation in transmission systems have been developed for processing single- channel signals. Unfortunately, the improvement margins they offer to practical WDM scenarios are limited since they cannot address the inter-
channel impairments affecting these systems. A potential alternative are Multiple-Input-Multiple-Output (MIMO) schemes, which can effectively estimate the nonlinear phase shifts caused by neighboring channels. However, the viability of MIMO approaches presents serious obstacles. For instance, traditional MIMO schemes need to operate with a very large number of steps, resulting in a prohibitive computational complexity. Nevertheless, it is possible to design ML-aided MIMO models which, through the optimization of their parameters, can potentially require a significantly lower computational effort compared to traditional schemes. Moreover, this parameter optimization can inform the design of optimized architectures. Through numerical simulations, we show that our models significantly improve the performance of WDM systems while operating with a reduced computational load. Hybrid-Screens for Simulating Optical Turbulence in Complex Environments Ultan Daly, PhD Student, University of Glasgow Proposed urban free-space optical simulating optical propagation through CFD simulations of a proposed channel. However, the required CFD resolution to capture all relevant optical turbulence length scales makes this approach unfeasible for many channels. In this work we create Hybrid-screens, which utilise a low-resolution Large Eddy Simulation to capture the effect of low- frequency eddies, and the turbulence profile distribution of a channel. Statistically representative high-frequency components of the screens are then extrapolated under the assumption of Kolmogorov turbulence. We investigate the power spectral densities of the generated screens and find good agreement with the Kolmogorov power law. Additionally, we analyse the results of optical propagation through a simulated channel using Hybrid-screens. communication channels, which can have complex turbulence distribution profiles, can require expensive site surveys to determine expected system requirements. Alternatively, system requirements can be determined by
One-Dimensional and High-Dimensional Non-Coherent Detection Methods for Ultraviolet Communications Wenxiu Hu, Cenqin Jin, Mark S. Leeson, Tianhua Xu, School of Engineering, University of Warwick; Zhuangkun Wei,
School of Aerospace, Transport, and Manufacturing, Cranfield University;
Qiankun Li, School of Physics, University of Electronic Science and Technology of China
Ultraviolet communication (UVC) has strong particle character, which benefits its non-line-of-sight (NLOS) transmission but leads to strong inter-symbol interference (ISI). Existing coherent signal detection schemes are over-reliance on the accuracy of the channel estimation, and non-coherent schemes cannot provide high detection accuracy in the presence of inter-symbol interference. We propose a novel non-coherent paradigm by extracting the UV signal features which are irrelevant to the ISI. Leveraging such features, two types of non- coherent schemes are developed, namely one-dimensional (1D) and high-dimensional (HD) detection. One-dimensional non-coherent scheme combines the signal features linearly via optimal weights; and high-dimensional non-coherent scheme leverages a HD construction of the UV signal features, transforming the ISI caused sequential detection into an ISI-released HD detection framework. Our results shown that these novel schemes have merits of high detection accuracy and low computation complexity, compared to commonly used maximum-likelihood sequence detection (MLSD).
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