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基于认知无线电的ROF-PON光无线接入技术 被引量:4

Hybrid Optical-Wireless Access Technology for Cognitive Radio Over ROF-PON
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摘要 文章提出了基于认知无线电的光纤无线通信系统-无源光网络(ROF-PON)光无线接入网络系统结构。该方案光纤中直接传输射频信号。光层可采用波分复用-无源光网络(WDM-PON)技术(也可以是一个定制的光接入层)。远端的光网络单元(ONU)将得到的传感信息回传到中心局(CO),应用认知无线电技术进行处理。频谱感知和信道接入等都在CO处理,降低了整个系统的复杂度,发挥了光纤无线通信系统(ROF)的优势,也发挥了认知无线电在管理频谱方面的特长。 In this paper, we describe radio-on-fiber passive optical network (ROF-PON). This is an optical wireless access networks that has a cognitive radio system architecture. In this network, the fiber directly transmits the radio frequency signal. The optical layer uses wave-division multiplexing passive optical network (WDM-PON) technology. The sensing information is transmitted to the central office (CO) by the remote end of the optical network unit and is then processed by the cognitive radio, Spectrum sensing and channel access technology are processed in the CO, so the complexity of system is reduced. This proposed system architecture makes full use of radio frequency over fiber and cognitive radio in the spectrum management.
作者 王中鹏
出处 《中兴通讯技术》 2012年第5期33-35,共3页 ZTE Technology Journal
基金 东南大学毫米波国家重点实验室开放基金(K201214)
关键词 接入网 认知无线电 无源光网络 光纤无线通信 access network cognitive radio passive optical network radio on fiber
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  • 1HADDAD M, HAYAR A ,DEBBA M. Spectral efficiency of spectrumpooling systems[J]. IET Communications, 2008,2 (6) : 733-741.
  • 2KIM Y M,ZHENG Guanbo,SOHN S H,et al. An alternative energy detection using sliding window for cognitive radio system [C]//Proc. 10th International Conference on Advanced Communication Technology. Pyeongchang, Gangwon-do, South Korea: IEEE Press, 2008:481-485.
  • 3IEEE 802.16e/D10-2005, IEEE Standard for Local and Metropolitan Area Networks-Part 16:Air interface for fixed and mobile broadband wireless access systems[S].2005.
  • 4Haykin S.Cognitive radio:brain-empowered wireless communications.IEEE Journal on Selected Areas in Communications,2005,23(2):201-220.
  • 5Guocong S,Ye L,Cross-layer optimization for OFDM wireless networks,Part Ⅰ:theoretical framework.IEEE Transactions on Wireless Communications,2005,4(2):614-624.
  • 6Yonghong Z,Leung C.Resource allocation in an OFDM-based cognitive radio system.IEEE Transactions on Communications,2009,57(7):1928-1931.
  • 7Lacatus C,Akopian D,Yaddanapudi P,et al.Flexible spectrum and power allocation for OFDM unlicensed wireless systems.IEEE Systems Journal,2009,3(2):254-264.
  • 8Hasan Z,Bansal G,Hossain E,et al.Energy-efficient power allocation in OFDM-based cognitive radio systems:a risk-return model.IEEE Transactions on Wireless Communications,2009,8(12):6078-6088.
  • 9Bansal G,Hossain M J,Bhargava V K.Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems.IEEE Transactions on Wireless Communications,2008,7(11):4710-4718.
  • 10Sadr S,Anpalagan A,Raahemifar K.Radio resource allocation algorithms for the downlink of multiuser OFDM communication systems.IEEE Communications Surveys & Tutorials,2009,11(3):92-106.

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  • 1A1 - Dulaimi. A., A1 - Raweshidy. H., Cosmas. J., et al. Cognitive Mesh Networks [ J ]. IEEE Vehicular Technology Magazine, 2010, 5 (3) :54 - 60.
  • 2Dong Li, Yiag- Chang Hang, Power Allocation for Interference- Limited Cognitive Multiple Access Channels [ J ]. IEEE WIRELESS COMMUNICAI'IONS LEITERS,2013,2(3) :291 - 294.
  • 3Xin Kang, Ying - Chang Hang, Haft Krishna Garg, Optimal Power Allocation for Feding Cognitive Multiple Access Channels: Individual Outage Capacity Region[J]. IEEE WCNC,2010:1 - 6.
  • 4FuJiangno, LiuWeiping, YangLiang, A new power control algorithm based on game theory in cognitive radio system[J]. ICA1T 2011, 2011,2011:1 5.
  • 5G. Scutari, D. P. Palomar, and S. Barbarossa, Competitive design of muhiuser MIMO systems based on game theory: A unified view[J]. IEEE Select. Areas Commun. ,2008,25(7): 1089- 1103.
  • 6G. Scutari, D. P. Palomar, MIMO Cognitive Radio: A Game Theoretical Approach [ J ]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010,58(2) :761 - 780.
  • 7[an Zhang,Yan Xin,Ying-Chang Liang,Weighted Sum Rate Optinfization for Cognitive Radio MIMO Broadcast Channels[J].IEEE TRANSACTIONS ON WIRELESS COMMUNIC?ffIONS ,2009,8(9) :2959 - 2950.
  • 8An Liu, Youjian Liu, Haige Xiang, et al. Polite Water- Filling for Weighted Sum- Rate Maximization in MIMO B- MAC Networks Under Multiple Linear Constraints [ J ]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012,60 ( 2 ) : 834 - 847.
  • 9S. J. Kim, G. B. Giannakis, Optimal resource allocation for MIMO ad hoc cognitive radio networks [ J ]. Proc. Annu. Allerton Conf. Communication, Control, and Computing,2008,39 - 45.
  • 10Lan Zhang, Yan Xin, Ying- Chang Liang, Cognitive Multiple Access Channels: Optimal Power Allocation for Weighted Sum Rate Maximization[J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2009,57(9) :2754 - 2762.

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