灵活光网络中使用自适应调制和多FEC实现收入最大化
Maximizing Revenue with Adaptive Modulation and Multiple FECs in Flexible Optical Networks
摘要：
灵活的光网络（FON）正在被采用，以适应日益异构的流量在今天的互联网。然而，在存在高业务负载的情况下，并非所有提供的业务都可以在所有时间得到满足。在承载业务为运营商带来收入的同时，由于有限的频谱资源而导致的业务阻塞导致收入损失。在这项研究中，给定一组流量请求提供，我们考虑的问题，运营商的收入最大化，受到有限的频谱资源和物理层损伤（PLIs），即放大自发辐射噪声（ASE），自信道干扰（SCI），跨信道干扰（XCI），和节点串扰。在FONs中，自适应调制、多FEC和功率谱密度（PSD）的调谐可以有效地用于减轻PLI的影响。因此，在我们的研究中，我们提出了一个通用的基于信道带宽的带宽相关的损伤评估模型，它允许不同的PSD，FEC和调制的性能分析。利用这个PLI模型和分段线性拟合函数，我们成功地制定了收入最大化问题作为一个混合整数线性规划。然后，为了解决较大的网络实例的问题，一个快速的两阶段启发式算法也提出了，这是近最优的收益最大化。通过仿真，我们证明，使用自适应调制能够显着增加收入的情况下，高信噪比（SNR），其中收入甚至可以增加一倍的高流量负载，而使用多个FEC是更有利可图的低SNR的情况下。
英文摘要：
Flexible optical networks (FONs) are being adopted to accommodate the increasingly heterogeneous traffic in today's Internet. However, in presence of high traffic load, not all offered traffic can be satisfied at all time. As carried traffic load brings revenues to operators, traffic blocking due to limited spectrum resource leads to revenue losses. In this study, given a set of traffic requests to be provisioned, we consider the problem of maximizing operator's revenue, subject to limited spectrum resource and physical layer impairments (PLIs), namely amplified spontaneous emission noise (ASE), self-channel interference (SCI), cross-channel interference (XCI), and node crosstalk. In FONs, adaptive modulation, multiple FEC, and the tuning of power spectrum density (PSD) can be effectively employed to mitigate the impact of PLIs. Hence, in our study, we propose a universal bandwidth-related impairment evaluation model based on channel bandwidth, which allows a performance analysis for different PSD, FEC and modulations. Leveraging this PLI model and a piecewise linear fitting function, we succeed to formulate the revenue maximization problem as a mixed integer linear program. Then, to solve the problem on larger network instances, a fast two-phase heuristic algorithm is also proposed, which is shown to be near-optimal for revenue maximization. Through simulations, we demonstrate that using adaptive modulation enables to significantly increase revenues in the scenario of high signal-to-noise ratio (SNR), where the revenue can even be doubled for high traffic load, while using multiple FECs is more profitable for scenarios with low SNR.
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