A new algorithm for weighted proportional fairness based spectrum allocation of cognitive radios

Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

Volumn 1, Issue , 2007, Pages 531-536

  Tian, Feng ^a   Yang, Zhen ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER RESOURCE MANAGEMENT; COMPUTER SIMULATION; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; RESOURCE ALLOCATION;

DYNAMIC SPECTRUM ACCESS; SPECTRUM SHARING ALGORITHMS;

RADIO SYSTEMS;

EID: 35148898274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SNPD.2007.48     Document Type: Conference Paper

References (6)

1. McHenry M. Spectrum Occupancy Measurements, http:\www.sharedspectrum. com/?section=nsf_summary.2005.8.
2. Haykin S. Cognitive Radio: Brain-Empowered Wireless Communications. IEEE JSAC in Communications, 2005, 23(2):201-220.
3. Li G. T. Keller and L. Hanzo, Adaptive modulation techniques for duplex OFDM transmission, IEEE Trans. Veh. Technol., Vol. 49,pp. 1893-1906, 2000.
4. Han Z. Low-complexity OFDMA channel allocation with Nash bargaining solution fairness. IEEE Global Telecommunications Conference, Dallas, 2004,Vol.6:3726-3731.
5. Song G. Adaptive subcarrier and power allocation in OFDM based on maximizing utility. The 57th VTC Conference, Jeju, Korea,2003,2:905-909.
6. Yu W. FDMA capacity of Gaussian multiaccess channels. IEEE Trans. Commun, 2002,50(1):102-111.