Abstract
Wireless communication standards are continuously evolving and getting more diverse.This requires a wide variety of baseband implementations within a short time-to-market. Besides, deepsub-micron technology significantly increases the design complexity andassociated cost. These yield a growing need forreconfigurable/programmable baseband solutions. Implementing the wholebaseband functionality on programmable architectures, as foreseen in the tier-2 SDR, will become a must. However, the energy efficiency of SDR baseband platforms is unavoidably worse than the ASIC counterparts. This brings a challenging gap to bridge, which iseven broadening further in emerging high rate standards. With a holistic view, we advocate a system level algorithmic approach to bridge this gap. Specifically, we propose to leverage the advantages(programmability) of SDR platforms to compensate for its disadvantages(energy efficiency). Highly flexible baseband algorithms are designed to exploitthe abundant dynamics in the environment and the user requirements.In this way, the baseband can utilize the dynamics and substantially reduce the average energy consumption. In this paper, wepresent a design methodology and principles, illustrated with 3 representative case studies in HSDPA, WiMAX, and 3GPP LTE.
Published Version
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