On power and energy trends of IEEE 802.11n PHY

The main contribution of this work is to decipher the power and energy characteristics of IEEE 802.11 PHY. In this work, we implement an IEEE 802.11n receiver and transmitter benchmark and measure power using an HDL-based scalable clustered-processor called CLAW. Second, we show that such a scalable processor can help conserve power and energy without sacrificing performance. We were able to extract 28% to 43% energy reduction with minimal overhead.