Scenario-Based Fixed-point Data Format Refinement to Enable Energy-scalable Software Defined Radios

User demand, standards and products for digital nomadic communications are evolving quickly. The combination of this changing environment together with the need for short time-to-market pushes for more flexible implementations. Software Defined Radios (SDR) have been introduced as the ultimate way to achieve such flexibility. The reduced energy budget required by battery-powered solutions makes the typical worst-case static dimensioning unaffordable under highly dynamic operating conditions. Instead, more energy-scalable algorithms and implementations are entailed to provide flexibility while maintaining the required energy efficiency. Particularly, energy-scalable implementations can exploit data format properties to offer different tradeoffs between accuracy and energy. In this paper, such a technique is developed and applied to the SDR implementation of a 2 antennas 200 Mbps+ OFDM (Orthogonal Frequency-Division Multiplexing) inner modem receiver on a C-programmable CGA (Coarse Grain Array) processor with extensive SIMD (Single Instruction Multiple Data) support. By defining separate implementations for different combinations of modulation scheme and coding rate, up to 3-fold gains can be achieved in the average energy consumption.