Title :
Layered lattice coding for the symmetric Gaussian X channel
Author :
Muryong Kim;Sriram Vishwanath
Author_Institution :
University of Texas at Austin, 78701 USA
fDate :
6/1/2015 12:00:00 AM
Abstract :
We develop achievable sum rate expressions for the Gaussian X channel at finite SNR using layered lattice coding with interference alignment. For different regimes of channel parameter h, we consider different decoding strategies including successive decoding and compute-and-forward decoding. For some regimes of h, we characterize the sum-rate capacity to within constant bits by using successive decoding. For a set of h that satisfy certain feasibility conditions, we show that compute-and-forward decoding outperforms a timesharing MAC-based lower bound. However, we find that the direct application of compute-and-forward results in high sensitivity of computation rates to the variation of h. Therefore, we introduce a channel steering method to significantly reduce the fluctuation in achievable sum-rate and consistently achieve high rates. We subsequently compare the achievable sum-rate with a new upper bound to demonstrate the value of channel steering.
Keywords :
"Signal to noise ratio","Receivers","Decoding","Lattices","Transmitters","Interference","Encoding"
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2015.7282707