The ceaseless evolution of wireless communications is reflected nowadays on the introduction of Beyond-3G (B3G) systems, characterized by the coexistence and cooperation of various Radio Access Technologies (RATs), over a common infrastructure. Major facilitator of this convergence is the advent of cognitive networks, which deploy elements (base stations and mobile terminals) that are able to proactively adapt to environmental stimuli, so that to optimize their performance. Part of the adaptation action takes place in cognitive base stations that own several reconfigurable transceivers, which are controlled by appropriate management functionality and may dynamically change their operating parameters. Each reconfiguration set includes a specific RAT, carrier frequency, as well as demand volume to be allocated per transceiver. Accordingly, proper evaluation of the various candidate reconfiguration sets appears to be of high significance. To this effect, in this paper we consider a cognitive network segment with transceivers operating at 3G RAT/carrier and we solve the DAMC problem (Demand Allocation into Multiple Carriers problem), which aims at evaluating and selecting the optimum policy to allocate the demand into the available 3G carrier frequencies. Optimality is expressed in terms of minimizing the total transmitted/received power per base station, thus deciding for the reconfigurations with the least impact on network interference. Indicative simulation scenarios and results are also presented for the validation and verification of the proposed functionality.
This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
Thomas, R. W., DaSilva, L. A., & MacKenzie, A. B. (2005). Cognitive networks. IEEE DySPAN 2005, first symposium on dynamic access networks. Baltimore USA, 8–11 November 2005.
Ahmavaara, K., Haverinen, H., & Pichna, R. (2003). Interworking architecture between 3GPP and WLAN systems. IEEE Communications Magazine, 41(11), 74–81.
Song, Q., & Jamalipour, A. (2005). Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computer techniques. IEEE Wireless Communications Magazine, 12(6), 42–48.
Demestichas, P., Dimitrakopoulos, G., Bourse, D., & El Khazen, K. (2005). Dynamic planning and management of reconfigurable systems. IEEE DySPAN 2005, first symposium on dynamic access networks. Baltimore USA, 8–11 November 2005.
Ramming, C. (2004). Cognitive networks, speech presented at the DARPATech 2004 Symposium, Anaheim (CA), March, available at http://www.darpa.mil/DARPAtech2004/pdf/scripts/RammingScript.pdf.
Mitola, J. (2000). Cognitive radio: An integrated agent architecture for software defined radio. PhD Thesis. Royal Inst. Technol. (KTH), Stockholm, Sweden.
Katzela, I., & Naghshineh, M. (1996). Channel assignment schemes for cellular mobile telecommunications systems: A comprehensive study. IEEE Personal Communications, 3(3), 10–31.
Bambos, N. (1998). Toward power-sensitive network architectures in wireless communications: Concepts, issues, and design aspects. IEEE Personal Communications, 5(3), 50–59.
Leaves, P., Grandblaise, D., Tönjes, R., Moessner, K., Breveglieri, M., Bourse, D., & Tafazolli, R. (2004). Dynamic spectrum allocation in composite reconfigurable wireless networks. IEEE Communications Magazine, 42(5), 72–81.
Demestichas, P., Koutsouris, N., Koundourakis, G., Tsagkaris, K., Oikonomou, A., Stavroulaki, V., Papadopoulou, L., Theologou, M., Vivier, G., & El-Khazen, K. (2003). Management of networks and services in a composite radio context. IEEE Wireless Communications Magazine, 10(4), 44–51.
Tsagkaris, K., Dimitrakopoulos, G., & Demestichas, P. (2006). Spectrum management strategies for efficient UMTS integration in wireless B3G infrastructures. In Proc. IEEE international conference on communications (ICC’06), Istanbul, Turkey, June 2006.
Mitola III, J., & Maguire, G. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications Magazine, Aug, 13–18.
Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201– 220.
Mitola, J. (1995) (Ed.). Special issue on software radio. In IEEE Communications Magazine, May 1995.
Software Defined Radio: Origins, drivers, and international perspectives, W. Tuttlebee (Ed.), New York: Wiley, 2002.
IST-2005-027714 End-to-End Reconfigurability (E2R II) Project, http://www.e2r2.motlabs.com, 2007
Tsagkaris, K., Dimitrakopoulos, G., Saatsakis, A., & Demestichas, P. (2007). Distributed radio access technology selection for adaptive networks in high-speed, B3G infrastructures. International Journal on Communications System (Wiley), 20(8), 969–992.
Demestichas, P., Dimitrakopoulos, G., Tsagkaris, K., Demestichas, K., Adamopoulou, J., & Strassner, J. (2006). Reconfiguration discovery and selection in the context of autonomic management of cognitive wireless infrastructures. 1st IEEE international workshop on modelling autonomic communications environments (MACE 2006), Dublin, Ireland, October 25–26, 2006.
Tsagkaris, K., Demestichas, P., & Theologou, M. (2004). Location-and-service aware downlink transmission power allocation in WCDMA-based cellular networks. Wireless Personal Communications, 30(2–4), 167–181, Kluwer Academic Publishers.
Demestichas, P., Tsagkaris, K., Tzifa, E., & Theologou, M. (2003). Uplink transmission power allocation in CDMA-based cellular networks. Electronics Letters, 39(1), 147–148.
This work has been performed in the framework of the EU funded projects E2R and E2R II. The authors would like to acknowledge the contributions of their colleagues from E2R and E2R II consortia.
About this article
Cite this article
Tsagkaris, K.A., Dimitrakopoulos, G. & Demestichas, P. Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies. Wireless Netw 15, 391–405 (2009). https://doi.org/10.1007/s11276-007-0056-3
- B3G communications
- Cognitive networks
- Demand allocation policies
- Multiple carriers
- Power-based optimization
- Radio Access Technologies (RATs)