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| HNN调度信元的输入缓冲ATM交换结构 | |
| 引用本文： | 陈金山,韦岗. HNN调度信元的输入缓冲ATM交换结构[J]. 通信技术, 2000, 0(2): 33-36 |
| 作者姓名： | 陈金山 韦岗 |
| 作者单位： | 华南理工大学电信学院,广州510641 |
| 基金项目： | 得到国家自然科学基金(69772027)及国家教委跨世纪人才基金的资助。 |
| 摘 要： | 输入缓冲ＡＴＭ交换结构是实现复杂度最低的ＡＴＭ交换结构（ＡＳＦ），但由于队头阻塞问题大大限制了其应用。文中给出了基于Ｈｏｐｆｉｅｌｄ神经网络（ＨＮＮ）调度信元的输入缓冲ＡＳＦ方案，该方案消除了队头阻塞造成的输入缓冲ＡＳＦ性能恶化。计算机仿真表明，该方案非常有效，明显改善了输入缓冲ＡＳＦ的性能。 |
| 关 键 词： | ATM交换结构 调度信元 神经网络 |
| 修稿时间： | 2000-01-26 |
An Input- Buffering ATM Switching Fabric Based on Hopfield Neural Network Cell Scheduling |
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| Chen Jinshan,Wei Gang. An Input- Buffering ATM Switching Fabric Based on Hopfield Neural Network Cell Scheduling[J]. Communications Technology, 2000, 0(2): 33-36 | |
| Authors: | Chen Jinshan Wei Gang |
| Affiliation: | Chen Jinshan,Wei Gang;(College of Electronics and Information, South China University of Technology, Guangzhou 510641) |
| Abstract: | Of all ATM switching fabrics (ASF), input - buffering ASF is of the least im- plementation complexity. But its application is limited because of head - of - line (HOL) blocking. In this paper, we propose an input - buffering ASF based on the Hopfield neural network (HNN) scheduling cell. This scheme eliminates degeneration of performances due to HOL blocking. Sim- ulation results show the effectiveness of this method. |
| Keywords: | ATM switching fabric bypass queue Hopfield neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |