Anything, anywhere, anytime: the query is not new. Still, offering ubiquitous wireless connectivity and seamless access to multimedia services is not yet a reality. A major need to realize this vision is Software Defined Radio (SDR): a reconfigurable radio implementation offering support for a large variety of wireless standards on the same hardware resources. Main advantages of such SDR implementations are higher flexibility (multi-purpose multi-standard platform, reprogrammable in the field) at lower cost (product development and manufacturing cost lowered thanks to better time-to-market, higher chipset production volume and lower number of components to integrate). In the coming years, the implementation of wireless standards on such reconfigurable radios is expected to become the only viable option [1, 2] This results from the combination of the increasing need for functional flexibility in communication systems (the variety of wireless standards to be supported is very large, and can be expected to still grow in the future) and the exploding cost of system-on-chip design (newer design technology nodes urge high-volume, multi-purpose and preferably widely programmable devices that can be easily updated) (Fig. 6.1).
The major bottleneck to enable such reconfigurable implementations for handheld devices is energy efficiency. Due to its flexibility requirements, the SDR concept indeed intrinsically suffers from a significant energy penalty compared to dedicated hardware solutions. The major challenge in this context is thus to enable low energy SDRs matching the energy efficiency requirements of battery-powered handheld terminals and competitive with dedicated implementations. This is becoming a key concern: there exists a continuously growing gap between the available energy, resulting from battery technology evolution, and the steeply increasing energy requirements of emerging radio systems (Fig. 6.2). Technology scaling, platform improvements and circuit design progress are not sufficient for bridging this energy gap. There is a clear need for disruptive system-level strategies.
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References
A. Dejonghe, B. Bougard, S. Pollin, L. Van der Perre and F. Catthoor, Green reconfigurable radio systems: Creating and managing flexibility to overcome battery and spectrum scarcity, IEEE Signal Processing Magazine, special issue on Resource-Constrained Signal Processing, Communications, and Networking, Vol. 24, No. 3, May 2007.
G. Desoli and E. Filippi, An outlook on the evolution of mobile terminals, CAS Magazine, second quarter 2006.
L. Van der Perre, B. Bougard, J. Craninckx, W. Dehaene, L. Hollevoet, M. Jayapala, P. Marchal, M. Miranda, P. Raghavan, T. Schuster, P. Wambacq, F. Catthoor and P. Vanbekbergen, Architectures and circuits for software defined radios: Scaling and scalability for low cost and low energy, ISSCC 2007, San Francisco, CA, Feb. 2007.
J. Craninckx, M. Liu, D. Hauspie, V. Giannini, T. Kim, J. Lee, M. Libois, B. Debaillie, C. Soens, M. Ingels, A. Baschirotto, J. Van Driessche, L. Van der Perre and P. Vanbekbergen, A fully reconfigurable software-defined radio transceiver in 0.13 μm CMOS, ISSCC 2007, San Francisco, CA, Feb. 2007.
B. Debaille, B. Bougard, G. Lenoir, G. Vandersteen and F. Catthoor, Energy-scalable OFDM transmitter design, Design Automation Conference (DAC), 2006.
L. Benini et al., A survey of design techniques for system-level dynamic power Mgmt, IEEE Transactions on VLSI Systems, Vol. 8, No. 3, pp. 299–316, June 2000.
A. Sinha and A. P. Chandrakasan, Energy-scalable system design, Transactions on VLSI Systems, Vol. 10, No. 2, pp. 135–145, April 2002.
M. Li, B. Bougard, F. Horlin, M. Engels, L. Van Der Perre and F. Catthoor, Quality-energy scalable chip level equalization for HSDPA, IEEE GLOBECOM Conference 2007, Washington, DC.
D. Novo, B. Bougard, A. Lambrechts, L. Van der Perre and F. Catthoor, Scenario-based fixed-point data format refinement to enable energy-scalable software defined radios, Design Automation and Test in Europe (DATE 2008), Munich, Germany, pp. 722–727, March 2008.
E. Uysal-Biyikogly, B. Prabhakar and A. El Gamal, Energy-efficient packet transmission over a wireless link, ACM/IEEE Transactions on Networking, Vol. 10, No. 4, pp. 487–499, Aug. 2002.
S. Shakkottai, T. S. Rappaport and P. C. Karlsson, Cross-layer design for wireless networks, IEEE Communications Magazine, Vol. 41, No. 10, pp. 74–80, Oct. 2003.
B. Bougard, S. Pollin, A. Dejonghe, F. Catthoor and W. Dehaene, Cross-layer power management in wireless networks and consequences on system-level architecture, EURASIP Signal Processing Journal, Special Issue on Advances in Signal Processing.
S. Pollin, R. Mangharam, B. Bougard, F. Catthoor, L. Van der Perre, I. Moerman and R. Rajkumar, MEERA: cross-layer methodology for energy-efficient resource allocation for wireless networks, to appear in IEEE Transactions on Wireless Communications.
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(2009). Energy-Aware Cross-Layer Radio Management. In: Green Software Defined Radios. Series on Integrated Circuits and Systems. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8212-2_6
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