Mantissa-masking for energy-efficient floating-point LTE uplink MIMO baseband processing

Abstract

The increasingly diverse wireless communication ecosystem has given rise to flexible, programmable platforms for wireless baseband processing. This industry case study presents advance development results of a fully programmable, flexible floating-point DSP architecture for uplink (UL) multiple-input, multiple-output (MIMO) baseband processing with runtime-adaptive precision. By tuning the floating-point precision to the application needs, energy consumption can be reduced by up to 23 % per task.