Paper Info
Title
Cognitive Multi-User MIMO downlink with mixed feedback/location based Gaussian CSIT
Abstract
The Multi-User MIMO downlink or MIMO Broadcast Channel (BC) formulation is relevant for cell center users. Whereas multiple receive antennas do not allow to increase the total number of streams (or degrees of freedom (DoF)) in the BC, they allow the sharing of zero-forcing (ZF) between transmitter and receivers so that a secondary base station (SBS) can serve its secondary users (SU) while ZF beamforming (BF) to primary users (PU). Channel State Information at the Transmitter (CSIT), which is crucial in multi-user systems, is always imperfect in practice, especially for the SBS-PU link. We consider mean and covariance Gaussian partial CSIT, and the special case of a (possibly location based) MIMO Ricean channel model. In this paper we focus on the optimization of beamformers for the secondary expected weighted sum rate (EWSR) under expected PU interference power constraints. We apply a perfect CSI technique, based on a difference of convex functions approach, to a number of deterministic approximations of the EWSR, involving the Massive MIMO limit (large number of transmit antennas), Massive MIMO with a second-order refinement, and the large MIMO limit (both large transmit and receive antenna numbers).
Year
DOI
Venue
2014
10.1109/SPAWC.2014.6941353
Signal Processing Advances in Wireless Communications
Keywords
Field
DocType
MIMO communication,Rician channels,antenna arrays,approximation theory,array signal processing,cellular radio,cognitive radio,convex programming,multiuser channels,transmitting antennas,CSI technique,MIMO Ricean channel model,MIMO broadcast channel formulation,PU interference power constraints,SBS,ZF beamforming,beamformer optimization,cell center users,channel state information-at-the-transmitter,cognitive multiuser MIMO downlink,convex functions approach,covariance Gaussian partial CSIT,deterministic approximations,mean Gaussian partial CSIT,mixed feedback based Gaussian CSIT,mixed location based Gaussian CSIT,primary users,second-order refinement,secondary base station,secondary expected weighted sum rate,secondary users,zero-forcing sharing
Transmitter,Beamforming,Multi-user MIMO,3G MIMO,Computer science,MIMO,Electronic engineering,Precoding,Telecommunications link,Channel state information
Conference
ISSN
Citations 
PageRank 
2325-3789
1
0.35
References 
Authors
9
2
Name
Order
Citations
PageRank
Manijeh Bashar141.10
Dirk T. M. Slock280186.45