ARQ-based cross-layer optimization for wireless multicarrier transmission on cognitive radio networks

Computer Networks

Volumn 52, Issue 4, 2008, Pages 778-794

  de Baynast, Alexandre ^a   Mähönen, Petri ^a   Petrova, Marina ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Cross layer optimization in cognitive radio networks; Genetic algorithm; Impact of OFDM techniques for cognitive radio networks; Routing and association in cognitive wireless network; WLAN applications of CR technology

Indexed keywords

COGNITIVE SYSTEMS; GENETIC ALGORITHMS; OPTIMIZATION; RADIO COMMUNICATION; WIRELESS LOCAL AREA NETWORKS (WLAN);

CR TECHNOLOGY; WLAN APPLICATIONS;

ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING;

EID: 38749111053     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.comnet.2007.11.009     Document Type: Article

References (34)

1. N. Baldo, M. Zorzi, Cognitive network access using fuzzy decision making, in: Proceedings of the IEEE CogNet 2007 Workshop (in conjunction with IEEE ICC 2007), Glasgow, UK, June 2007.
2. Bianchi G. IEEE 802.11-saturation throughput analysis. IEEE Communications Letters 2 (1998) 318-320
3. M. Buddhikot, Understanding dynamic spectrum access: taxonomy, models and challenges, in: Proceedings of the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), April 2007, pp. 649-663.
4. C. Cordeiro, K. Challapali, D. Birru, Sai Shankar, IEEE 802.22: the first worldwide wireless standard based on cognitive radios, in: Proceedings of the First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), November 2005, pp. 328-337.
5. A. de Baynast, L. Wu, P. Mähönen, Frequency-agile multi-channel medium access control: efficient protocols and outage behavior, IEEE International Conference on Communications, submitted for publication.
6. Zheng D., and Zhang J. Protocol design and throughput analysis of frequency-agile multi-channel medium access control. IEEE Transactions on Wireless Communications 5 (2006) 2887-2895
7. J. Dunat, L. Elicegui, C. Bonnet, Impact of inter-cell interference in a IEEE 802.11a network with overlapping cells, in: Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), vol. 2, September 2004, pp. 825-829.
8. R. Fischer, J. Huber, A new loading algorithm for discrete multitone transmission, in: Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), vol. 1, September 1996, pp. 724-728.
9. Fonseca C., and Fleming P. Multi-objective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation. IEEE Transactions on Systems, Man and Cybernetics, Part A 28 (1998) 26-37
10. Fonseca C., and Fleming P. Multi-objective optimization and multiple constraint handling with evolutionary algorithms. II. Application example. IEEE Transactions on Systems, Man and Cybernetics, Part A 28 (1998) 38-47
11. P. Fuxjager, D. Valerio, F. Ricciato, The myth of non-overlapping channels: interference measurements in IEEE 802.11, in: Proceedings of the Conference on Wireless on Demand Network Systems and Services (WONS), January 2007, pp. 1-8.
12. IEEE 802.11, IEEE 802.11-1999, Tech. rep., Institute of Electrical and Electronics Engineers, 1999. Available from: .
13. Johansson B., Soldati P., and Johansson M. Mathematical decomposition techniques for distributed cross-layer optimization of data networks. IEEE Journal on Selected Areas in Communications 24 8 (2006) 1535-1547
14. Kawadia V., and Kumar P. A cautionary perspective on cross-layer design. IEEE Personal Communications 12 1 (2005) 3-11
15. P. Mähönen, Cognitive trends in making: future of networks, in: Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), September 2004, pp. 1449-1454.
16. G. Minden, J.B. Evans, L. Searl, D. DePardo, V.R. Petty, R. Rajbanshi, T. Newman, Q. Chen, F. Weidling, J. Guffey, D. Datla, B. Barker, M. Peck, B. Cordill, A.M. Wyglinski, A. Agah, KUAR: a flexible software-defined radio development platform, in: Proceedings of the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2007.
17. J. Mitola, Cognitive radio: an integrated agent architecture for software defined radio, Ph.D. Thesis, KTH, Royal Institute of Technology, 2000.
18. Mitola III J., and Maguire Jr. G. Cognitive radio: making software radios more personal. IEEE Personal Communications 6 4 (1999)
19. Chiang M., Low S., Calderbank A., and Doyle J. Layering as optimization decomposition: a mathematical theory of network architectures. Proceedings of the IEEE 95 1 (2007) 255-312
20. T. Newman, B. Barker, A. Wyglinski, A. Agah, J. Evans, G. Minden, Cognitive engine implementation for wireless multicarrier transceivers, Wiley Wireless Communications and Mobile Computing Edition, 2007.
21. Nolan K., and Doyle L. Teamwork and Collaboration in cognitive wireless networks. IEEE Wireless Communications (2007) 22-27
22. Petrova M., and Mähönen P. Cognitive Resource Manager: a cross-layer architecture for implementing cognitive radio networks. In: Fittzek F., and Katz M. (Eds). Cognitive Wireless Networks (2007), Springer
23. M. Petrova, P. Mähönen, Evolution of radio resource management: a case for cognitive resource manager, in: Proceedings of the IEEE International Conference on Communications (ICC), June 2007, pp. 6471-6745.
24. M. Petrova, P. Mähönen, J. Riihijärvi, M. Wellens, Cognitive wireless networks: your network just became a teenager, in: Poster Session of the IEEE International Conference on Computer Communications (INFOCOM), April 2006.
25. K. Ramachandran, E. Belding, K. Almeroth, M. Buddhikot, Interference-aware channel assignment in multi-radio wireless mesh networks, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), April 2006, pp. 1-12.
26. C. Rieser, Biologically inspired cognitive radio engine model utilizing distributed genetic algorithms for secure and robust wireless communications and networking, Ph.D. Thesis, Virginia Tech., 2004.
27. Sonalkar R., and Shively R. An efficient bit-loading algorithm for DMT applications. IEEE Communications Letters 4 (2000) 80-82
28. Song G.-C., and Li Y. Cross-layer optimization for OFDM wireless networks: part I. Theoretical framework. IEEE Transactions on Wireless Communications 4 (2005) 614-624
29. P. Sutton, L. Doyle, K. Nolan, A reconfigurable platform for cognitive networks, in: Proceedings of the International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), June 2006, pp. 1-5.
30. R. Thomas, L. DaSilva, A.B. MacKenzie, Cognitive networks, in: Proceedings of the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), November 2005, pp. 352-360.
31. Thomas R., Friend D., DaSilva L., and MacKenzie A.B. Cognitive networks: adaptation and learning to achieve end-to-end performance objectives. IEEE Communications Magazine 44 12 (2006) 51-57
32. R.W. Thomas, L. DaSilva, M. Marathe, K.N. Wood, Critical design decisions for cognitive networks, in: Proceedings of the IEEE International Conference on Communications (ICC), June 2007, pp. 3993-3998.
33. Whitley D. A genetic algorithm tutorial. Statistics and Computing 4 (1994) 65-85
34. Zhang Y.J., and Letaief K. Cross-layer adaptive resource management for wireless packet networks with OFDM signaling. IEEE Transactions on Wireless Communications 5 11 (2006) 3244-3254