Energy-efficient cognitive heterogeneous networks powered by the smart grid

Proceedings - IEEE INFOCOM

Volumn , Issue , 2013, Pages 980-988

  Bu, Shengrong ^a   Yu, F Richard ^a   Qian, Yi ^b  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Energy efficiency; heterogeneous networks; smart grid

Indexed keywords

BACKWARD INDUCTION METHODS; ELECTRICITY PRICES; ENVIRONMENTAL STANDARDS; INTERFERENCE MANAGEMENT; MOBILE CELLULAR NETWORKS; OPERATIONAL EXPENDITURES; SMART GRID; STACKELBERG GAMES;

CARBON DIOXIDE; COSTS; ELECTRIC POWER DISTRIBUTION; ELECTRICITY; ENERGY EFFICIENCY; HETEROGENEOUS NETWORKS; RADIO COMMUNICATION; SMART POWER GRIDS;

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 84883069159     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2013.6566887     Document Type: Conference Paper

References (28)

1. H. Zhang, A. Gladisch, M. Pickavet, Z. Tao, and W. Mohr, Energy efficiency in communications, IEEE Communications Magazine, vol. 48, pp. 48-49, Nov. 2010.
2. F. R. Yu, X. Zhang, and V. C. M. Leung, Green Communications and Networking. New York: CRC Press, 2012.
3. R. Xie, F. R. Yu, H. Ji, and Y. Li, Energy-efficient resource allocation for heterogeneous cognitive radio networks with femtocells, IEEE Trans. Wireless Commun., vol. 11, pp. 3910-3920, Nov. 2012.
4. Z. Hasan, H. Boostanimehr, and V. K. Bhargava, Green cellular networks: a survey, some research issues and challenges, IEEE Communications Surveys &Tutorials, vol. 13, Fourth Quarter 2011.
5. M. Ismail and W. Zhuang, Network cooperation for energy saving in green radio communications, IEEE Wireless Communications, vol. 18, pp. 76-81, Oct. 2011.
6. J. M. III, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio. PhD thesis, KTH Royal Institute of Technology, 2000.
7. F. R. Yu, M. Huang, and H. Tang, Biologically inspired consensusbased spectrum sensing in mobile ad hoc networks with cognitive radios, IEEE Network, vol. 24, pp. 26-30, May 2010.
8. G. Gur and F. Alagoz, Green wireless communications via cognitive dimension: an overview, IEEE Network, vol. 25, pp. 50-56, Mar. 2011.
9. C. Shannon, Communication in the presence of noise, Proc. IRE, vol. 37, pp. 10-21, Jan. 1949.
10. F. R. Yu, P. Zhang, W. Xiao, and P. Choudhury, Communication systems for grid integration of renewable energy resources, IEEE Network, vol. 25, pp. 22-29, Sept. 2011.
11. F. Genoese, M. Genoese, and M. Wietschel, Occurrence of negative prices on the German spot market for electricity and their influence on balancing power markets, in Proc. International Conference on the European Energy Market, (Madrid, Spain), Jun. 2010.
12. S. Bu, F. R. Yu, and P. X. Liu, Stochastic unit commitment in smart grid communications, in Proc. IEEE Infocom11 Workshop on Green Comm. Net., (Shanghai, China), Apr. 2011.
13. D. Keles, M. Genoese, D. Most, and W. Fichtner, Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices, Energy Economics, to appear 2011.
14. M. Nicolosi, Wind power integration and power system flexibility-an empirical analysis of extreme events in Germany under the new negative price regime, Energy Policy, vol. 38, pp. 7257-7268, Nov. 2010.
15. Y. Narahari, D. Garg, R. Narayanam, and H. Prakash, Game Theoretic Problems in Network Economics and Mechanism Design Solutions. Springer, 2009.
16. V. Chandrasekhar, J. G. Andrews, T. Muharemovic, Z. Shen, and A. Gatherer, Power control in two-tier femtocell networks, IEEE Trans. Wireless Commun., vol. 8, pp. 4316-4328, Aug. 2009.
17. G. Miao, N. Himayat, G. Y. Li, A. T. Koc, and S. Talwar, Interference-aware energy-efficient power optimization, in Proc. IEEE ICC, (Dresden, Germany), Jun. 2009.
18. J. Xu, L. Qiu, and C. Yu, Improving energy efficiency through multimode transmission in the downlink MIMO systems, EURASIP Journal on Wireless Communication and Networking, vol. 2011, no. 1, pp. 1-12, 2011.
19. G. M. Masters, Renewable and Efficient Electric Power Systems. Wiley, 2004.
20. P. Samadi, A. Mohsenian-Rad, R. Schober, V. W. S. Wong, and J. Jatskevich, Optimal real-time pricing algorithm based on utility maximization for smart grid, in Proc. First IEEE Conf. on Smart Grid Communications, (Gaithersburg, MD), Oct. 2010.
21. A. J. Conejo, J. M. Morales, and L. Baringo, Real-time demand response model, IEEE Trans. Smart Grid, vol. 1, pp. 236-242, Dec. 2010.
22. D. P. Palomar and M. Chiang, A tutorial on decomposition methods for network utility maximization, IEEE J. Sel. Areas Commun., vol. 24, p. 14391451, Aug. 2006.
23. S. Boyd and L. Vandenberghe, Convex Optimization.
24. A. Ledvina and R. Sircar, Static and dynamic oligopoly games under asymmetric costs, submitted, 2011.
25. S. Y. Lien, Y. Y. Lin, and K. C. Chen, Cognitive and gametheoretical radio resource management for autonomous femtocells with qos guarantees, IEEE Trans. Wireless Commun., vol. 10, p. 21962206, Jul. 2011.
26. G. T. . V9.0.0 Further advancements for E-UTRA physical layer aspects, Mar. 2010
27. I. Ashraf, L. T. W. Ho, and H. Claussen, Improving energy efficiency of femtocell base stations via user activity detection, in Proc. IEEE WCNC10, (Sydney, Australia), April 2010.
28. S. Guruacharya, D. Niyato, E. Hossain, and D. I. Kim, Hierarchical competition in femtocell-based cellular networks, in Proc. IEEE Globecom10, (Miami, USA), Dec. 2010.