Adaptive Resource Management and Flexible Radios for WiMAX

• Autorzy: Salazar J. , Gómez I. , Gelonch A.
• Języki publikacji: EN

Abstrakty

EN

The availability of dynamic resource management will be crucial for the deployment of future wireless systems characterized by high data rate services with rigid quality of service demands. Flexible radios appear as the technological answer required to achieve constraint goals under different channel conditions and transmission scenarios. This paper is focused on enhancing another step of flexibility within the resource management by including an efficient handling of computing resources. This concept towards flexible architectures represents a key word for a real successful implementation due to the relationship between the radio applications, which face the scarcity of resources within a heterogeneous environment, and the processing power needed to execute them.

Słowa kluczowe

EN

computing resource management; radio resource management; reconfigurability; software radio platforms

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2009
• Tom: nr 4
• Strony: 101--107
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Salazar J.

autor

Gómez I.

autor

Gelonch A.

• Department of Signal Theory and Communications, Universitat Polit`ecnica de Catalunya, C/Jordi Girona 1-3, 08034 Barcelona, Spain,

Bibliografia

• [1] R. Ferrús, A. Gelonch, O. Sallent, J. Pérez-Romero, N. Nafisi, and M. Dohler, “A feasible approach for E2E QoS management in coordinated heterogeneous radio access networks”, in Proc. IEEE Int. Perf. Comp. Commun. Conf., Phoenix, USA, 2005.
• [2] J. Mitola, “The software radio architecture”, IEEE Commun. Mag., vol. 33, no. 5, pp. 26–28, 1995.
• [3] F. K. Jondral, “Software-defined radio – basics and evolution to cognitive radio”, EURASIP J. Wirel. Commun. Netw., no. 3, pp. 275–283, 2005.
• [4] V. Marojevic, J. Salazar, I. Gomez, and A. Gelonch, “Computing system modeling for flexible radios”, in Proc. Karlsruhe Worksh. Softw. Radio WSR08, Karlsruhe, Germany, 2008.
• [5] J. Mitola and G. Maguire, “Cognitive radio, making software radios more personal”, IEEE Pers. Commun. Mag., vol. 6, no. 4, pp. 13–18, 1999.
• [6] J. Andrews, A. Gosh, and R. Muhamed, Fundamentals of WiMAX: Understanding Broadband Wireless Networking. Englewood Clifs: Prentice Hall, 2007.
• [7] “IEEE Standard for Local and Metropolitan Area Networks” – Part 8: “PHY”, IEEE Standard 802.16-2004, http://ieee802.org/16
• [8] “IEEE Standard for Local and Metropolitan Area Networks. Admendment 2 and Corregendum 1 to IEEE Std 802.16-2004”, IEEE Standard 802.16e-2005, http://ieee802.org/16
• [9] J. Escoda et al., “QoS and computational cost in wireless WiMAX”. Escola Superior de Castelldefels, Universitat Polit`ecnica de Catalunya, Spain, June 2008.
• [10] A. J. Goldsmith and S.-G. Chua, “Variable-rate variablepower MQAM for fading channels”, IEEE Trans. Commun., vol. 45, no. 10, pp. 1218–1230, 1997.
• [11] T. Keller and L. Hanzo, “Adaptive modulation techniques for duplex OFDM transmission”, IEEE Trans. Veh. Technol., vol. 49, no. 5, pp. 1893–1906, 2000.
• [12] WiMAX Forum, “Mobile WiMAX” – Part I: “A Technical Overview and Performance Evaluation”, 2005, http://www.wimaxforum.org/home/
• [13] M. Komara, “SDR architecture ideally suited for evolving 802.16 WiMAX standards”, Airnet Communications Corporation Press, Melbourne, USA, 2006.
• [14] D. S. Baum, “Simulation the SUI channel models”, IEEE 802.16 Broadband Wireless Access Working Group, 2004.