Title
Interference alignment: Precoding subspaces design
Abstract
Recently, the capacity region of the Single Input Single Output (SISO) fading interference channel has been characterized. Its degree of freedom is upper bounded by K/2. This upperbound can be asymptotically achieved using the Interference Alignment approach (IA), proposed by Cadambe et al. Our work aims to maximize the network sum rate of the IA scheme through the precoding subspaces design. We propose two designs. One is obtained as a closed-form solution of a constrained optimization problem when a Zero-Forcing decoding scheme is employed. The other is a generalized version of the optimized 3-user beamforming vectors design proposed by Kim et al., where a Minimum Mean Square Error receiver is utilized. This design presents a high computational complexity compared to the analytical solution obtained when assuming a ZF receiver. Simulation results illustrate the data rate performance and highlight the comparison between the different designs.
Year
DOI
Venue
2012
10.1109/SPAWC.2012.6292910
Signal Processing Advances in Wireless Communications
Keywords
Field
DocType
computational complexity,fading channels,interference (signal),least mean squares methods,optimisation,precoding,SISO fading interference channel,capacity region,computational complexity,constrained optimization problem,data rate performance,interference alignment,minimum mean square error receiver,network sum rate,optimized 3-user beamforming vectors design,precoding subspaces design,single input single output fading interference channel,zero-forcing decoding scheme
Beamforming,Mathematical optimization,Computer science,Fading,Signal-to-noise ratio,Minimum mean square error,Electronic engineering,Fading distribution,Zero-forcing precoding,Decoding methods,Precoding
Conference
ISSN
ISBN
Citations 
1948-3244
978-1-4673-0970-7
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Yasser Fadlallah100.34
Abdeldjalil Aïssa-El-Bey216225.10
Karine Amis37517.77
Ramesh Pyndiah47917.12