ID 原文 译文
46716 主要研究由于 SDN 的自身特征导致应用于大规模网络时面临的可扩展性问题。 The features of SDN was studied which lead to its scalability problem when SDN was applied to large-scale network.
46717 首先，讨论了导致 SDN 可扩展问题的 3 个主要方面原因：控制平面和数据平面分离、逻辑集中的控制以及细粒度的流管控。 The three main causes leading to scalability problem were discussed: control plane and data plane separation, logical centralized control and fine-grained flow control.
46718 其次，从性能可扩展、地理位置可扩展、管控可扩展 3 个方面介绍了当前 SDN 可扩展性问题的研究进展。 Meanwhile, the studies which focus on the scalability of SDN from three aspects: scalability of performance, scalability of geographic and scalability of control was presented.
46719 再次，讨论了 SDN 可扩展性评价方面的进展。 Further, the studies on the performance evaluation of the scalability of SDN were introduced.
46720 最后，展望了 SDN 可扩展性的未来研究方向。 Finally, the future work was discussed.
46721 基于精灵辅助等效系统，分析了分组马尔可夫叠加传输系统的性能下界，推导了精灵辅助系统误比特率的联合界。 Based on the equivalent genie-aided system, the bit-error rate of the block Markov superposition transmission system was analyzed and the union bound of the bit-error rate of the genie-aided system was derived.
46722 该联合界可用于解决误比特率（BER）很低时蒙特卡洛仿真难以获知系统错误性能的问题。 When the bit-error rate was extremely low at which the Monte Carlo simulation was time-consuming, the union bound could be adopted to evaluate the performance of the block Markov superposition transmission system.
46723 仿真结果表明，在不同强度的湍流条件下，分组马尔可夫叠加传输系统在低误比特率区域的错误性能与精灵辅助下界贴合。 Simulations under turbulence conditions from weak to strong are performed which show that, in the low bit-error rate region, performance of the block Mar-kov superposition transmission system matches well with the lower bound.
46724 精灵辅助等效系统的联合界与其仿真结果也贴合。 It is also illustrated that the derived union bound matches well with Monte Carlo simulation result.
46725 在 BER=10 −5 时，记忆长度为 2 的分组马尔可夫叠加传输系统的性能与香农限的距离在 1 dB 以内。 At the BER of 10 −5 , block Markov superposition transmission system with transmission memory 2 performs within 1 dB away from the Shannon limit.