Paper Info
Title
NetDoFs of the MISO broadcast channel with delayed CSIT feedback for Finite Rate of innovation channel models
Abstract
Channel State Information at the Transmitter (CSIT) is of utmost importance in multi-user wireless networks, in which transmission rates at high SNR are characterized by Degrees of Freedom (DoF, the rate prelog). In recent years, a number of ingenious techniques have been proposed to deal with delayed and imperfect CSIT. However, we show that the precise impact of these techniques in these scenarios depends heavily on the channel model. We introduce the use of linear Finite Rate of Information (FRoI) signals to model time-selective channel coefficients, a model which turns out to be well matched to DoF analysis. Both the block fading model and the stationary bandlimited channel model are special cases of the FRoI channel model (CM). However, the fact that FRoI CMs model stationary channel evolutions allows to exploit one more dimension: arbitrary time shifts. In this way, the FroI CM allows to maintain the DoF unaffected in the presence of CSIT feedback (FB) delay, by increasing the FB rate. We call this Foresighted Channel Feedback (FCFB). We then consider netDoF, by accounting also for the DoF consumed in training overhead and feedback. We work out the details for the MISO broadcast channel (BC), including optimization of the number of users, and exhibit unmatched netDoF performance compared to existing approaches.
Year
DOI
Venue
2013
10.1109/ISIT.2013.6620302
Information Theory Proceedings
Keywords
Field
DocType
broadcast channels,multi-access systems,radio networks,radio transmitters,MISO broadcast channel,NetDoF,bandlimited channel model,block fading model,channel state information,degrees of freedom,delayed CSIT feedback,foresighted channel feedback,information signal finite rate,innovation channel model,multiuser wireless network,time-selective channel coefficient
Wireless network,Discrete mathematics,Transmitter,Telecommunications,Bandlimiting,Control theory,Computer science,Fading,Communication channel,Binary erasure channel,Broadcast channels,Channel state information
Conference
ISSN
Citations 
PageRank 
2157-8095
5
0.48
References 
Authors
13
3
Name
Order
Citations
PageRank
Yohan Lejosne1364.24
Dirk T. M. Slock280186.45
Yi Yuan-wu345630.09