Computational load reduction by downsampling for energy-efficient digital baseband

With the expansion of Internet of Things (IoT) the design of highly-integrated radio transceivers is a challenging task. The major concern is the power consumption, which is generally non-optimal due to the fluctuation of the communication channel quality. In this paper, we propose the use of downsampling techniques for decreasing the computational load of the baseband signal processing. More precisely, the paper compares two mechanisms using the IEEE 802.15.4 PHY in the 2.45 GHz band. It demonstrates that the performances remain close to the theoretical bound, even if only partial codes are used for the decoding. According to these results, it shows the impact of such techniques on the power consumption, considering a codes correlator unit. Thereby, it highlights the ability of downsampling to be used as an actuator in an adaptive baseband architecture, while preserving a good level of performances.