DocumentCode :
864649
Title :
Green Reconfigurable Radio Systems
Author :
Dejonghe, Antoine ; Bougard, Bruno ; Pollin, Sofie ; Craninckx, Jan ; Bourdoux, André ; Ven der Perre, L. ; Catthoor, Francky
Author_Institution :
Wireless Res. Group, Inter-Univ. Microelectronics Center, Leuven
Volume :
24
Issue :
3
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
90
Lastpage :
101
Abstract :
The wireless standards scene and its evolution strengthens the need for functional flexibility in future radios. Multimode terminals supporting an increasingly large variety of standards (cellular, WLANs, WMANs, WPANs) are subject to a cost increase that is addressed by more flexible radio interfaces. Energy efficiency, however, is the main obstacle to successfully deploying such reconfigurable radios. To address this, it is essential to design energy-scalable SDRs, both for the radio front-end and the digital baseband platform. Complementing this, an essential ingredient is an intelligent controller that optimally exploits this scalability and the run-time dynamics to translate potential energy scalability to actual low-power operation. To realize this goal, an energy-aware cross-layer radio management framework is introduced. It was instantiated in different case studies, showing the applicability of this approach in realistic setups. Results have shown that substantial gains can be achieved through effective cross-layer optimization and problem partitioning. Next, it was shown that SDRs will play a crucial role in enabling CRs, which will enable saving on both the scarce radio spectrum and battery lifetime. A key building block for the design of such CRs, i.e., the appropriate control intelligence to make the SDR platform cognitive, can be derived by incrementally building on the proposed framework. As a result, green (or environment friendly) reconfigurable radio systems will emerge, which offer a wide variety and ubiquitous availability of wireless services, while overcoming energy and spectrum scarcity
Keywords :
intelligent control; software radio; telecommunication control; telecommunication network management; telecommunication network reliability; battery lifetime; digital baseband platform; energy-aware cross-layer radio management framework; energy-scalable SDR; green reconfigurable radio systems; intelligent controller; multimode terminals; radio front-end; scarce radio spectrum; spectrum scarcity; Baseband; Costs; Energy efficiency; Energy management; Layout; Optimal control; Potential energy; Runtime; Scalability; Software radio;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.361605
Filename :
4205092
Link To Document :
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