Distributed power adjustment based on control theory for cognitive radio networks

Computer Networks

Volumn 57, Issue 17, 2013, Pages 3344-3356

  Matsui, Genki ^a   Tachibana, Takuji ^b   Nakamura, Yukinori ^c   Sugimoto, Kenji ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b UNIVERSITY OF FUKUI   (Japan)

^c TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

Cognitive radio networks; Distributed power adjustment; Interference avoidance; Model predictive control; PID control

Indexed keywords

COGNITIVE RADIO NETWORK; CONSTRAINT CONDITIONS; DISTRIBUTED POWER; DISTRIBUTED POWER CONTROL; INTERFERENCE AVOIDANCE; POWER ADJUSTMENTS; SECONDARY NETWORKS; TRANSMISSION POWER;

ALGORITHMS; COGNITIVE RADIO; MODEL PREDICTIVE CONTROL; RADIO SYSTEMS; THREE TERM CONTROL SYSTEMS; TRANSMITTERS;

PREDICTIVE CONTROL SYSTEMS;

EID: 84887128011     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comnet.2013.07.022     Document Type: Article

References (28)

1. J. Mitola Cognitive radio: making software radios more personal IEEE Pers. Commun. 6 4 1999 13 18
2. Federal Communication Commission, Spectrum Policy Task Force, Rep. ET Docket, No. 02-135, November 2002.
3. F. Gunnarsson, F. Gustafsson, J. Blom, Pole placement design of power control algorithms, in: Proc. IEEE 49th Vehicular Technology Conference, May 1999.
4. G.J. Foschini, and Z. Miljanic A simple distributed autonomous power control algorithm and its convergence IEEE Trans. Veh. Technol. 42 4 1993 641 646
5. S.A. Grandhi, R. Vijayan, D.J. Goodman, and J. Zander Centralized power control in cellular radio systems IEEE Trans. Veh. Technol. 42 4 1993 466 468
6. A. Paul, A. Member, M.G. Safonov, and U. Mitra Adaptive power control for wireless networks using multiple controllers and switching IEEE Trans. Neural Netw. 16 5 2005 1212 1218
7. F. Gunnarsson, J. Blom, and F. Gustafsson Power control in cellular systems subject to constraints and time delays Proc IEEE Globecom 1998
8. S. Koskie, and Z. Gajic Optimal SIR-based power control strategies for wireless CDMA networks Int. J. Inform. Syst. Sci. 4 2 2008 204 218
9. M.R. Cistelecan, D.C. Popescu, Using sliding mode control theory for radio resource management in wireless systems, in: Proc. 9th IEEE International Workshop on Variable Structure Systems 06, June 2006, pp. 23-28.
10. T. Alpcan, T. Basar, S. Dey, A power control game based on outage probabilities for multicell wireless data networks, in: Proc. American Control Conference, June/July 2004.
11. H. Ji, and C. Huang Noncooperative uplink power control in cellular radio systems Wirel. Netw. 4 3 1998 233 240
12. J. Huang, R. Berry, and M.L. Honig Auction-based spectrum sharing ACM/Springer Mobile Netw. Appl. J. (MONET) 11 2 2006 405 408
13. Y. Xing, C.N. Mathur, and M.A. Haleem Dynamic spectrum access with QoS and interference temperature constraints IEEE Trans. Mobile Comput. 6 4 2007 423 433
14. H. Li, Y. Gai, Z. He, K. Niu, and W. Wu Optimal power control game algorithm for cognitive radio networks with multiple interference temperature limits Proc. VTC-2008 Spring 2009
15. L. Zhang, Y.C. Liang, and Y. Xin Joint beamforming and power allocation for multiple access channels in cognitive radio networks IEEE J. Selected Areas Commun. 26 1 2008 38 51
16. K. Hamdi, W. Zhang, K.B. Letaief, Power control in cognitive radio systems based on spectrum sensing side information, in: Proc IEEE ICC 2007 (2007).
17. A.T. Hoang, Y.C. Liang, and M.H. Islam Power control and channel allocation in cognitive radio networks with primary users' cooperation IEEE Trans. Mobile Comput. 9 3 2010 348 360
18. E. Dall'Anese, S.J. Kim, G.B. Giannakis, S. Pupolin, Power allocation for cognitive radio networks under channel uncertainty, in: Proc. IEEE International Conference on Communications 2011 (ICC 20011), June 2011.
19. J. Jia, Q. Zhang, A non-cooperative power control game for secondary spectrum sharing, in: Proc. IEEE International Conference on Communications 2007 (ICC 2007), June 2007.
20. P.G. Flikkema Spread-spectrum techniques for wireless communication IEEE Signal Process. Mag. 14 3 1997 26 36
21. S. Koskie, and Z. Gajic A nash game algorithm for SIR-based power control in 3G wireless CDMA networks IEEE/ACM Trans. Netw. 13 5 2005 1017 1026
22. C.G. Yang, J.D. Li, and Z. Tian Optimal power control for cognitive radio networks under coupled interference constraints: a cooperative game-theoretic perspective IEEE Trans. Veh. Technol. 59 4 2010 1696 1706
23. J.M. Maciejowski, Predictive Control with Constraints, Prentice Hall, 2002.
24. K.H. Ang, G.C.Y. Chong, and Y. Li PID control system analysis, design, and technology IEEE Trans. Control Syst. Technol. 13 4 2005 559 576
25. H. Nam, M.B. Ghorbel, M.S. Alouini, Location-based resource allocation for OFDMA cognitive radio systems, in: Proc. the Fifth International Conference on CROWNCOM, June 2010.
26. Y. Chen, G. Yu, Z. Zhang, H.H. Chen, and P. Qiu On cognitive radio networks with opportunistic power control strategies in fading channels IEEE Trans. Wirel. Commun. 7 7 2007 2752 2761
27. R. Zhang, Optimal power control over fading cognitive radio channel by exploiting primary user CSI, in: Proc. IEEE Globecom 2008 (2008)
28. A. JovicÌić, and P. Viswanath Cognitive radio: an information-theoretic perspective IEEE Trans. Inform. Theory 55 9 2009 3945 3958