Self-Aware MIMO Beamforming Systems : Dynamic Adaptation to Channel Conditions and Manufacturing Variability
Suhasini Komarrajua and Abhijit Chatterjeeb
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
askomarraju3@gatech.edu
babhijit.chatterjee@ece.gatech.edu
ABSTRACT
Emerging wireless technologies employ MIMO beamforming antenna arrays to improve channel Signal-to-Noise Ratio (SNR). The increased dynamic range of channel SNR values that can be accommodated, creates power stress on Radio Frequency (RF) electronic circuitry. To alleviate this, we propose an approach in which the circuitry along with other transmission coding parameters can be dynamically tuned in response to channel SNR and beam-steering angle to either minimize power consumption or maximize throughput in the presence of manufacturing process variations while meeting a specified Bit Error Rate (BER) limit. The adaptation control policy is learned online and is facilitated by information obtained from testing of the RF circuitry before deployment.
Keywords: MIMO, Adaptation, Actor-critic.
