Arogyaswami Paulraj
Stanford University
476 Papers
8.8K Citations
Arogyaswami Paulraj is an academic researcher from Stanford University. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 97, co-authored 476 publications. Previous affiliations of Arogyaswami Paulraj include Bharat Electronics & University of Maryland, College Park.
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Papers
User-Centric Precoding Designs for the Non-Regenerative MIMO Two-Way Relay Systems
TL;DR: This letter jointly design the source and relay precoders for non-regenerative multi-input multi-output two-way relay systems from the user-centric perspective and proposes an iterative algorithm to design the relay precoding matrix and source beamforming vectors alternatively.
5
Experimental characterization of indoor multi-link channels
Claude Oestges,Nicolai Czink,Bernd Bandemer,Paolo Castiglione,Florian Kaltenberger,Arogyaswami Paulraj +5 more
- 01 Sep 2009
TL;DR: Highlights of the paper include a separate model for static and dynamic shadowing, a model for shadowing correlation, as well as a single analytical distribution of small-scale fading for various types of indoor node mobility.
Algorithms and Architectures for High Speed Signal Processing
Thomas Kailath,Arogyaswami Paulraj +1 more
- 01 Jan 1990
TL;DR: The RIA results have been helpful in designing several fast integrated circuit chips for communications and signal processing applications, some of which are being used in the AT&T - ZENITH joint effort on High Definition Television (HDTV).
5
Signal detection for time-varying vector channels
Suhas Diggavi,Arogyaswami Paulraj +1 more
- 30 Oct 1995
TL;DR: A signal detection algorithm is presented which approximates the maximum likelihood joint channel-data estimator for vector channels and shows that for perfect channel estimation the authors do not observe error-flooring.
5
Guaranteed Performance Region in Fading Orthogonal Space-Time Coded Broadcast Channels
Eduard A. Jorswieck,Bjorn Ottersten,Aydin Sezgin,Arogyaswami Paulraj +3 more
- 24 Jun 2007
TL;DR: A MIMO BC approach in which only information about the channel norm is available at the base and hence no dirty paper preceding (DPC) can be applied is proposed and a guaranteed MSE region without superposition coding is characterized in closed form.