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LIU Yimin, ZHU Zhenfei, HU Jun, ZHANG Yuebao, WANG Chenglin. A dynamic frequency management method based on spectrum description[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(4): 625-630.
Reference format: LIU Yimin, ZHU Zhenfei, HU Jun, ZHANG Yuebao, WANG Chenglin. A dynamic frequency management method based on spectrum description[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(4): 625-630.

A dynamic frequency management method based on spectrum description

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  • Available Online: December 30, 2020
  • Published Date: August 30, 2013
  • Based on the useable state of spectrum resource, a new dynamic frequency management method is discussed. For describing the states of spectrum resource clearly, frequency assignment list and useable frequency list were designed, which represent the influence upon frequency resource from inner and exterior system respectively. A dynamic frequency assignment mechanism with the variety of demands and channel states is designed. Simulation results show that interference in the system is eliminated effectively by dynamic frequency management, and spectrum efficiency is improved.
  • GALVIN R, SCHLESINGER J. Spectrum management for the 21st century[M]. Washington D C:CSIS Press, 2003.
    BERNARD J, ALAKANANDA P, KIM C, et al. Assessment of federal and nonfederal land mobile radio frequency assignment methodologies[R]. NTIA Report 07447, May, 2007.
    SHERMAN M, MODE A N, MARTINEZ R, et al. IEEE standards supporting cognitive radio and networks, dynamic spectrum access, and coexistence[J]. [LL]Communications Magazine, 2008, 46(7): 7279.
    HOSSAIN E, MIYATO D, HAN Z. Dynamic spectrum access and management in cognitive radio networks[M]. Cambridge:Cambridge University Press, 2009.
    FILIN S, HARADA H, MURAKAMI H, et al. International standardization of cognitive radio systems[J]. IEEE Communications Magazine, 2011, 49(3): 8289.
    CAPAR F, JONDRAL F. Resource allocation in a spectrum pooling system for packet radio networks using OFDM/TDMA[C]// 1st Mobile and Wireless Telecommunications Summit. Thessaloniki, 2002.
    ZHAO Q, TONG L, SWAMI A, CHEN Y. Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: a POMDP framework[J]. Selected Areas in Communications, 2007, 25(3): 589600.
    TEPEDELENLIOGLU C, GIANNAKIS G B. On velocity estimation and correlation properties of narrowband mobile communication channels[J]. Vehicular Technology, 2001, 50(4): 10391052.
    TARIQ F, DOOLEY L, POULTON A, et al. Dynamic fractional frequency reuse based hybrid resource management for femtocell networks[C]// The 7th International Wireless Communications and Mobile Computing Conference (IWCMC 2011). Istanbul, July 58, 2011.
    JORDI P, ORIOL S R A. Radio resource management strategies in UMTS[M]. Wiley, 2005.
    XG WORKING GROUP. The XG vision RFC[S]. Version 2.0, 2006.
    FUDENBERG D, TIROLE J. Game Theory[M]. Cambridge: MIT Press, 1991.
    NEEL J, MENON R, MACKENZIE A, et al. Using game theory to aid the design of physical layer cognitive radio algorithms[C]// Conference on Economics, Technology and Policy of Unlicensed Spectrum. Michigan, May 1617, 2005.
    YUN J H, SHIN K G. Adaptive interference management of OFDMA femtocells for cochannel deployment[J]. Selected Areas in Communications, 2011, 29(6): 12251241.[JY][HT5K](下转第640页)[FL)]
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