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Niranjay Ravindran
Niranjay Ravindran
Western Digital, Rochester, MN
Verified email at wdc.com
Title
Cited by
Cited by
Year
Multiuser MIMO achievable rates with downlink training and channel state feedback
G Caire, N Jindal, M Kobayashi, N Ravindran
IEEE Transactions on Information Theory 56 (6), 2845-2866, 2010
7162010
Limited feedback-based block diagonalization for the MIMO broadcast channel
N Ravindran, N Jindal
IEEE Journal on Selected Areas in Communications 26 (8), 1473-1482, 2008
3142008
SPLATT: Efficient and parallel sparse tensor-matrix multiplication
S Smith, N Ravindran, ND Sidiropoulos, G Karypis
2015 IEEE International Parallel and Distributed Processing Symposium, 61-70, 2015
2592015
MIMO broadcast channels with block diagonalization and finite rate feedback
N Ravindran, N Jindal
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
832007
How much training and feedback are needed in MIMO broadcast channels?
M Kobayashi, G Caire, N Jindal
2008 IEEE International Symposium on Information Theory, 2663-2667, 2008
782008
Multi-user diversity vs. accurate channel state information in MIMO downlink channels
N Ravindran, N Jindal
IEEE Transactions on Wireless Communications 11 (9), 3037-3046, 2012
662012
Multiuser MIMO downlink made practical: Achievable rates with simple channel state estimation and feedback schemes
G Caire, N Jindal, M Kobayashi, N Ravindran
Arxiv preprint cs. IT 710, 2007
652007
Quantized vs. analog feedback for the MIMO broadcast channel: A comparison between zero-forcing based achievable rates
G Caire, N Jindal, M Kobayashi, N Ravindran
2007 IEEE International Symposium on Information Theory, 2046-2050, 2007
59*2007
Beamforming with finite rate feedback for LOS MIMO downlink channels
N Ravindran, N Jindal, HC Huang
IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference, 4200-4204, 2007
582007
Multi-user diversity vs. accurate channel feedback for MIMO broadcast channels
N Ravindran, N Jindal
2008 IEEE international conference on communications, 3684-3688, 2008
512008
Memory-efficient parallel computation of tensor and matrix products for big tensor decomposition
N Ravindran, ND Sidiropoulos, S Smith, G Karypis
2014 48th Asilomar Conference on Signals, Systems and Computers, 581-585, 2014
382014
Read level tracking and optimization
RD Barndt, AG Cometti, RL Galbraith, JA Goode, N Ravindran, ...
US Patent 10,236,070, 2019
322019
Achievable throughput of MIMO downlink beamforming with limited channel information
G Caire, N Jindal, M Kobayashi, N Ravindran
2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio …, 2007
262007
Data storage device extending erasures for LDPC-type decoding
I Oboukhov, WM Hanson, N Ravindran, RL Galbraith
US Patent 10,417,089, 2019
242019
Interactive volume visualization of fluid flow simulation data
PR Woodward, DH Porter, J Greensky, AJ Larson, M Knox, J Hanson, ...
Applied Parallel Computing. State of the Art in Scientific Computing: 8th …, 2007
142007
Non-binary encoding for non-volatile memory
RL Galbraith, JA Goode, N Ravindran
US Patent 10,530,391, 2020
122020
Mapping for multi-state programming of memory devices
B Rub, M El Gamal, N Ravindran, RD Barndt, H Chin, RJ Kumar, ...
US Patent 10,705,966, 2020
112020
Multiuser MIMO downlink made practical: achievable rates with simple channel state estimation and feedback schemes,” submitted to IEEE Trans. Information Theory, Nov
G Caire, N Jindal, M Kobayashi, N Ravindran
arXiv preprint arXiv:0711.2642, 2007
102007
Optimized multi-antenna communication in ad-hoc networks with opportunistic routing
N Ravindran, P Wu, J Blomer, N Jindal
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010
82010
Quantized vs. analog feedback for the MIMO downlink: a comparison between zero-forcing based achievable rates
G Caire, N Jindal, M Kobayashi, N Ravindran
arXiv preprint cs/0702031, 2007
52007
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