Adaptive beamforming for 60 GHz radios: challenges and preliminary solutions

Authors:
Kishore Ramachandran;Narayan Prasad;Kenichi Hosoya;Kenichi Maruhashi;Sampath Rangarajan
Affiliations:
NEC Labs America, Inc., Princeton, NJ, USA;NEC Labs America, Inc., Princeton, NJ, USA;NEC Corporation, Tokyo, Japan;NEC Corporation, Tokyo, Japan;NEC Labs America, Inc., Princeton, NJ, USA
Venue:
Proceedings of the 2010 ACM international workshop on mmWave communications: from circuits to networks
Year:
2010

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Abstract

Beamforming is a critical and natural solution component for 60 GHz radios due to the increased signal attenuation that occurs as a consequence of the very small wavelength (mm-length) at these frequencies. In this paper, we discuss two practical challenges for 60 GHz beamforming that are likely to arise in most real-world antenna implementations, namely the infeasibility of (a) explicit channel estimation, and (b) generating isotropic antenna patterns. To overcome these challenges, we design a novel iterative training algorithm for antenna weight vectors (AWVs) that uses relatively coarse-grained feedback to obtain the optimal transmit and receive AWVs. We also propose a simple, but effective technique to identify the best transmit and receive sectors that serve to initialize our AWV training algorithm - without these well-chosen initial AWVs, the convergence time of our algorithm can be significantly longer.