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JSAC
2008
94views more  JSAC 2008»
13 years 5 months ago
An overview of limited feedback in wireless communication systems
Abstract--It is now well known that employing channel adaptive signaling in wireless communication systems can yield large improvements in almost any performance metric. Unfortunat...
David James Love, Robert W. Heath Jr., Vincent K. ...
JSAC
2008
159views more  JSAC 2008»
13 years 5 months ago
Limited feedback-based block diagonalization for the MIMO broadcast channel
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver su...
Niranjay Ravindran, Nihar Jindal
CORR
2006
Springer
145views Education» more  CORR 2006»
13 years 5 months ago
MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback
Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver su...
Niranjay Ravindran, Nihar Jindal
WIMOB
2008
IEEE
13 years 11 months ago
On Performance of MIMO Link Adaptation in the Presence of Channel Uncertainty
—In this paper, link level adaptation algorithms in a system applying spatial multiplexing in the presence of channel uncertainty are considered. The first part of this paper de...
Jelena Mirkovic, Bernhard Walke
GLOBECOM
2009
IEEE
13 years 11 months ago
On Downlink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge
— Next generation mobile communications systems will most likely employ network MIMO in order to mitigate inter-cell interference and improve system fairness and spectral effici...
Patrick Marsch, Gerhard Fettweis
GLOBECOM
2009
IEEE
13 years 11 months ago
How Much Training Is Needed for Iterative Multiuser Detection and Decoding?
Abstract—This paper studies large randomly spread directsequence code-division multiple-access system operating over a block fading multipath channel. Channel knowledge is obtain...
Mikko Vehkaperä, Keigo Takeuchi, Ralf R. M&uu...