Cognitive Mesh Networks

Cognitive Mesh Networks
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DOI:
10.1109/mvt.2010.938272
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发表时间:
2010-09
影响因子:
8.1
通讯作者:
A. Al-Dulaimi;H. Al-Raweshidy;J. Cosmas;J. Loo
A. Al-Dulaimi;H. Al-Raweshidy;J. Cosmas;J. Loo
中科院分区:
计算机科学2区
文献类型:
--
作者:
A. Al-Dulaimi;H. Al-Raweshidy;J. Cosmas;J. Loo

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提出了一种将认知无线电与光纤接入系统相结合的新型子网--认知光纤无线电(CRoF)。CRoF系统的目的是服务于微小区,并在小型认知企业广播中实现更高的吞吐量和更低的时延。CRoF架构基于使用RoF将宏小区BS处的核心CRoF系统连接到各种微小区的终端。终端可以是短距离传输站,也可以只是将微蜂窝无线连接到CRoF总部的桥梁。本文简要介绍了每一个拟议的CRoF实施方案的未来工作方案。进行了Opnet仿真以评估与主网络共存的不同CRoF设计的性能。结果表明,CRoF实施的优势,使用多个,小,固定的无线电,并通过光纤连接在所有其他CRoF设计,和传统的CR管理系统。CRoF系统提出了未来的应用在CMN。需要进一步的研究来分析所提出的CRoF管理方案在绿色通信中的性能。
A new subnet, integrating the CR and the fiber-access system, is proposed as cognitive radio-over-fiber (CRoF). The aim of the CRoF system is to serve microcells and to achieve higher throughput and lower time delay in small, cognitive, enterprise broadcasting. The CRoF architecture is based on connecting the core CRoF system at the macrocell BS to the terminals of various microcells using the RoF. The terminals can be short-range transmission stations or just bridges that connect microcells wirelessly to the CRoF headquarters. This article gives a brief description for the future working schemes of each of the proposed CRoF implementation scenarios. Opnet simulations were conducted to evaluate the performance of different CRoF designs in coexistence with the primary network. Results show the dominance of the CRoF implementation using multiple, small, fixed radios,and connected via fiber over all other CRoF designed, and traditional CR management systems. The CRoF system is proposed for future applications in CMNs. Further research is required to analyze the performance of the proposed CRoF management scenarios in green communications.