537 citations · 891 across the 6 of their papers we have counts for
6 papers
Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels
Niranjay Ravindran, Nihar Jindal
In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the tota…
Limited Feedback-based Block Diagonalization for the MIMO Broadcast Channel
Niranjay Ravindran, Nihar Jindal
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver suc…
Multiuser MIMO Achievable Rates with Downlink Training and Channel State Feedback
Giuseppe Caire, Nihar Jindal, Mari Kobayashi +1
We consider a MIMO fading broadcast channel and compute achievable ergodic rates when channel state information is acquired at the receivers via downlink training and it is provide…
Multi-User Diversity vs. Accurate Channel Feedback for MIMO Broadcast Channels
Niranjay Ravindran, Nihar Jindal
A multiple transmit antenna, single receive antenna (per receiver) downlink channel with limited channel feedback is considered. Given a constraint on the total system-wide channel…
Quantized vs. Analog Feedback for the MIMO Downlink: A Comparison between Zero-Forcing Based Achievable Rates
Giuseppe Caire, Nihar Jindal, Mari Kobayashi +1
We consider a MIMO fading broadcast channel and compare the achievable ergodic rates when the channel state information at the transmitter is provided by analog noisy feedback or b…
MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback
Niranjay Ravindran, Nihar Jindal
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver suc…