Concurrent Multi-Dimensional Adaptation for Low-Power Operation in Wireless Devices

In this paper, we develop a multi-dimensional adaptive power management approach for wireless systems that optimally trades-off power vs. performance across temporally changing operating conditions by concurrently tuning control parameters in the RF and digital baseband components of the wireless device. A key contribution of this paper is the development of a multi-dimensional optimal control law that determines how the various control parameters should be concurrently tuned to guarantee minimum power consumption across changing channel conditions without compromising overall system bit error rate. Simulation results indicate significant power savings in the receiver RF front end using the proposed approach in addition to power savings in the baseband processor itself.