Paper Info
Title
Joint Transceiver Optimization for MIMO Multiuser Relaying Networks with Channel Uncertainties
Abstract
This paper addresses the problem of amplify-and- forward (AF) relaying for multiple-input multiple-output (MIMO) multiuser relay networks. where each source transmits multiple data streams to its corresponding destination with the assistance of multiple relays. Assuming only imperfect channel state information (CSI) of all the source-relay and relay-destination links, we propose a robust approach to jointly design the source and relay precoders and the receive filters, in which the worst per-stream mean square error (MSE) is minimized subject to source and relay power constraints. The channel uncertainties are assumed to be Gaussian distributed and the well-known Kronecker model is employed to characterize the spatial correlations in the proposed design. The resultant optimization problem is nonconvex and therefore, an algorithmic solution with proven convergence is proposed by resorting to the iterative block coordinate update approach along with matrix transformation and convex conic optimization techniques. Simulation results show that the proposed joint transceiver design can achieve an improved robustness against the channel uncertainties when compared to the non-robust approaches.
Year
DOI
Venue
2014
10.1109/VTCFall.2014.6966033
VTC Fall
Keywords
DocType
Citations 
relay networks (telecommunication),multiple data streams,joint transceiver optimization,channel uncertainties,CSI,source-relay links,receive filters,Kronecker model,relay precoders,precoding,spatial correlations,source constraints,mean square error,matrix algebra,iterative block coordinate update approach,Gaussian distribution,convex programming,convex conic optimization techniques,MIMO multiuser relaying networks,convergence,multiple-input multiple-output networks,MSE,MIMO communication,radio transceivers,matrix transformation,source coding,convergence of numerical methods,relay power constraints,nonrobust approaches,imperfect channel state information,AF relaying,relay-destination links,amplify-and-forward relaying,source precoders,algorithmic solution,amplify and forward communication,correlation methods,iterative methods,mean square error methods,Gaussian distributed model
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Jiaxin Yang1488.07
B. Champagne254274.73