A novel framework for dynamic spectrum management in multicell OFDMA networks based on reinforcement learning

IEEE Wireless Communications and Networking Conference, WCNC

Volumn , Issue , 2009, Pages

  Bernardo, Francisco ^a   Agustí, Ramón ^a   Pérez Romero, Jordi ^a   Sallent, Oriol ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Dynamic spectrum assignment; Multicell OFDMA; Reinforcement learning

Indexed keywords

DYNAMIC SPECTRUM; DYNAMIC SPECTRUM ASSIGNMENT; DYNAMIC SPECTRUM MANAGEMENT; MULTICELL; MULTICELL OFDMA; ORTHOGONAL FREQUENCY DIVISION MULTIPLE ACCESS; SPATIAL DISTRIBUTION; SPECTRAL EFFICIENCIES; SPECTRUM ASSIGNMENT;

CELL MEMBRANES; EDUCATION; FREQUENCY DIVISION MULTIPLE ACCESS; REINFORCEMENT LEARNING; SIZE DISTRIBUTION; SPECTRUM ANALYZERS; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

REINFORCEMENT;

EID: 70349184257     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2009.4917524     Document Type: Conference Paper

References (14)

1. J. A. Hoffmeyer, "Regulatory and standardization aspects of dsa technologies - global requirements and perspective," in IEEE New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2005, pp. 700-705.
2. Q. Zhao and B. Sadler, "A survey of dynamic spectrum access," IEEE Signal. Proc. Mag., vol. 24, no. 3, pp. 79-89, May 2007.
3. T. A. Weiss and F. K. Jondral, "Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency," IEEE Commun. Mag., vol. 42, no. 3, pp. S8-14, 2004.
4. R. W. Thomas, D. H. Friend, L. A. Dasilva, and A. B. Mackenzie, "Cognitive networks: adaptation and learning to achieve end-to-end performance objectives," IEEE Commun. Mag., vol. 44, no. 12, pp. 51-57, 2006.
5. B. Le, R. T.W., and B. C.W., "Cognitive radio realities," Wireless Communications and Mobile Computing, vol. 7, pp. 1037-1048, 2007.
6. R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction. The MIT Press, March 1998.
7. J. Nie and S. Haykin, "A Q-learning-based dynamic channel assignment technique for mobile communication systems," IEEE T. Veh. Technol., vol. 48, no. 5, pp. 1676-1687, 1999.
8. S. Singh and D. Bertsekas, "Reinforcement learning for dynamic channel allocation in cellular telephone systems," in Advances in Neural Information Processing Systems, vol. 9. The MIT Press, 1997.
9. N. Lilith and K. Dogancay, "Dynamic channel allocation for mobile cellular traffic using reduced-state reinforcement learning," in IEEE Wireless Communications and Networking Conference (WCNC), vol. 4, 2004, pp. 2195-2200 Vol.4.
10. R. J. Williams, "Simple statistical gradient-following algorithms for connectionist reinforcement learning," Machine Learning, vol. V8, no. 3, pp. 229-256, May 1992.
11. F. Bernardo, J. P'erez-Romero, O. Sallent, and R. Agust'i, "Advanced spectrum management in multicell OFDMA networks enabling cognitive radio usage," in IEEE Wireless Communications and Networking Conference (WCNC), 2008, pp. 1927-1932.
12. 3GPP, "Physical layer aspects for evolved universal terrestrial radio access (UTRA)," 3GPP, Tech. Rep. TR 25.814 v7.1.0, September 2006, release 7.
13. C. Wengerter, J. Ohlhorst, and A. v. Elbwart, "Fairness and throughput analysis for generalized proportional fair frequency scheduling in OFDMA," in IEEE 61st Vehicular Technology Conference 2005-Spring, vol. 3, 2005, pp. 1903-1907.
14. J. Jang and K. B. Lee, "Transmit power adaptation for multiuser OFDM systems," IEEE J. Sel. Area. Comm., vol. 21, no. 2, pp. 171-178, 2003.