UNLOC

人们认识到，全球通信系统正在迅速接近目前传输技术的基本信息容量。通信系统容量的饱和可能对经济和社会进步以及公共、商业和政府活动产生不利影响。拟议研究的目的是通过理论和实验开发破坏性方法，以释放未来信息系统的能力，超越当前光通信系统的限制。该研究将结合联合收割机技术，从信息理论，编码，先进调制格式的研究，数字信号处理和先进的光子概念，使突破性的发展成为可能，以确保未来强大的通信基础设施。增加通信系统的总容量需要多方面的协调努力：新的材料和设备基础、新的光纤、放大器和网络范例、产生、传输、检测和处理光信号和信息本身的新方法-所有这些都必须得到解决。特别是，光纤通信的作用至关重要，因为它提供了总信息流量的大部分容量。避免所谓的“容量紧缩”（光纤容量耗尽）的重要方向之一是开发全新的传输光纤和放大器。然而，也日益需要采取补充行动-对信息的编码、传输和处理采取创新的和全新的办法。我们的愿景是集中在需要量化的基本限制，通过光纤进行的非线性信道，并开发技术，以接近这些限制，以最大限度地提高可实现的信道容量。具有白色高斯噪声的线性信道的信息容量是公知的，并且由香农极限定义。无线系统可以非常接近这一限制-在几分之一dB之内。然而，光信道是非线性的。光纤非线性将噪声与信号混合在一起。因此，只有在非线性效应很小的情况下，线性容量理论的结果才能应用于光纤信道。随着相干检测技术的发展，光通信系统正在经历另一场革命，相干检测技术具有检测发射信号的幅度和相位的能力，并且使用数字信号处理技术来重建原始信号。在新兴的相干传输方案中使用光相位从根本上开辟了新的理论和技术可能性，其中大多数尚未探索。挑战在于理解光学非线性在多大程度上也可以被补偿，或者实际上用于释放光纤容量，最大化信息传输速率和总带宽，确定非线性信道的基本香农极限，并开发接近这种容量的方法。我们建议从根本上探索新的非线性信息技术，并开发一个实用的设计框架的基础上集成的DSP技术，新颖的调制格式，和新颖的源和线编码方法量身定制的非线性光信道。我们相信这是设计未来智能信息基础设施的关键。

It is recognised that global communication systems are rapidly approaching the fundamental information capacity of current transmission technologies. Saturation of the capacity of the communication systems might have detrimental impact on the economy and social progress and public, business and government activities. The aim of the proposed research is to develop, through theory and experiment, disruptive approaches to unlocking the capacity of future information systems that go beyond the limits of current optical communications systems. The research will combine techniques from information theory, coding, study of advanced modulation formats, digital signal processing and advanced photonic concepts to make possible breakthrough developments to ensure a robust communications infrastructure beyond tomorrow.Increasing the total capacity of communication systems requires a multitude of coordinated efforts: new materials and device bases, new fibres, amplifiers and network paradigms, new ways to generate, transmit, detect and process optical signals and information itself - all must be addressed. In particular, the role of fibre communications, providing the capacity for a lion share of the total information traffic, is vital. One of the important directions to avoid the so-called "capacity crunch", the exhaust in fibre capacity - is to develop completely new transmission fibres and amplifiers. However, there is also a growing need for complimentary actions - innovative and radically novel approaches to coding, transmission and processing of information. Our vision is focused on the need to quantify the fundamental limits to the nonlinear channels carried over optical fibres and to develop techniques to approach those limits so as to maximise the achievable channel capacity. The information capacity of a linear channel with white Gaussian noise is well known and is defined by the Shannon limit. Wireless systems can approach this limit very closely - to within fractions of a dB. However, the optical channel is nonlinear. Fibre nonlinearity mixes noise with signal. Therefore, results of the linear theories on capacity can be applied in fibre channels only in the limit of very small nonlinear effects. Optical communication systems are undergoing another revolution with the development of techniques of coherent detection, the ability to detect both the amplitude and the phase of a transmitted signal and use of digital signal processing techniques to reconstruct the original signal. Use of the optical phase in emerging coherent transmission schemes opens up fundamentally new theoretical and technical possibilities most as yet unexplored. The challenge is to understand to what degree optical nonlinearity can also be compensated or, indeed, used to unlock the fibre capacity, maximise both the information transmission rate and the total bandwidth, to determine the fundamental Shannon limit for nonlinear channels and to develop methods to approach this capacity. We propose to explore fundamentally new nonlinear information technologies and to develop a practical design framework based on integration of DSP techniques, novel modulation formats, and novel source and line coding approaches tailored to the nonlinear optical channels. We believe this to be the key to designing the intelligent information infrastructure of the future.