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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 baseband 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.