Bridging the energy gap in size, weight and power constrained software defined radio: Agile baseband processing as a key enabler

The diversity and evolution of wireless communication standards are fast-pacing. This requires a wide-variety of baseband implementations within short time-to-market. Besides, always deeper submicron technology significantly increase design cost. This yields an increasing need for using reconfigurable or programmable solutions for an always larger part of wireless modems. Mapping the whole baseband functionality on a programmable architecture, as foreseen in tier-2 SDR, will become a must in future implementation. In hand-helds where the multi-mode trend adds extra needs for programmability, the energy efficiency of SDR baseband is however a major concern. New processor architectures with major improvements on energy efficiency (GOPS/mW) are emerging but are still not sufficient to catch the continuously increasing complexity of wireless physical layers within the shrinking energy budget. To enable SDR in size, weight and power constrained devices, innovation is also needed at the software side. Specifically, a thorough architecture-aware algorithm implementation methodology is needed for the baseband signal processing functions, which account for most of the SDR computational complexity. We present the premise of such a methodology and illustrate its effectiveness on the design of key kernels from present and future wireless baseband systems.