N. Jindal

Publications
Influence

MIMO broadcast channels with finite rate feedback

N. Jindal
Computer Science
GLOBECOM
2005

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. Expand

Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels

S. Vishwanath, N. Jindal, A. Goldsmith
Mathematics, Computer Science
IEEE Trans. Inf. Theory
1 October 2003

We consider a multiuser multiple-input multiple- output (MIMO) Gaussian broadcast channel (BC), where the transmitter and receivers have multiple antennas. Expand

1,626
143
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Capacity limits of MIMO channels

A. Goldsmith, S. Jafar, N. Jindal, S. Vishwanath
Computer Science
IEEE J. Sel. Areas Commun.
11 June 2003

We provide an overview of the extensive results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels. Expand

2,236
122
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Multi-Antenna Downlink Channels with Limited Feedback and User Selection

Taesang Yoo, N. Jindal, A. Goldsmith
Computer Science
IEEE Journal on Selected Areas in Communications
1 September 2007

We analyze the sum-rate performance of a multi- antenna downlink system carrying more users than transmit antennas, with partial channel knowledge at the transmitter due to finite rate feedback. Expand

MIMO Broadcast Channels With Finite-Rate Feedback

N. Jindal
Computer Science, Mathematics
IEEE Transactions on Information Theory
16 March 2006

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e., multiplexing) gains, even when receivers have only single antennas. Expand

Sum power iterative water-filling for multi-antenna Gaussian broadcast channels

N. Jindal, S. Jafar, S. Vishwanath, A. Goldsmith
Mathematics
Conference Record of the Thirty-Sixth Asilomar…
1 December 2002

We use a "duality" to transform this problem into a convex multiple access problem, and then obtain a simple and fast iterative algorithm that gives us the optimum transmission policies. Expand

Multiuser MIMO Achievable Rates With Downlink Training and Channel State Feedback

G. Caire, N. Jindal, M. Kobayashi, N. Ravindran
Computer Science, Mathematics
IEEE Transactions on Information Theory
16 November 2007

In this paper, we consider a multiple-input-multiple-output (MIMO) fading broadcast channel and compute achievable ergodic rates when channel state information is acquired at the receivers via downlink training and it is provided to the transmitter by channel state feedback. Expand

Limited feedback-based block diagonalization for the MIMO broadcast channel

N. Ravindran, N. Jindal
Computer Science, Mathematics
IEEE Journal on Selected Areas in Communications
20 November 2007

Block diagonalization is a linear preceding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of the receivers. Expand

Antenna combining for the MIMO downlink channel

N. Jindal
Computer Science, Mathematics
IEEE Transactions on Wireless Communications
10 April 2007

A multiple antenna downlink channel where limited channel feedback is available to the transmitter is considered. Expand

Multi-Antenna Broadcast Channels with Limited Feedback and User Selection

Taesang Yoo, N. Jindal, A. Goldsmith
Computer Science
2006

We analyze the sum-rate performance of a multi-antenna downlink system carrying more users than transmit antennas, with partial channel knowledge at the transmitter due to finite rate feedback. Expand

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