Multidimensional adaptive power management for low-power operation of wireless devices

Currently, wireless circuits are designed to meet minimum quality-of-service requirements under worst case wireless link conditions (interference, noise, multipath effects), leading to high power consumption when the channel is not worst case. In this work, we develop a multidimensional adaptive power management approach that optimally trades-off power versus performance across temporally changing operating conditions by concurrently tuning control parameters in the RF and digital base-band components of the wireless receiver. Simulation and hardware results indicate significant power savings in the receiver using the proposed approach while maintaining the system bit error rate specification.