DocumentCode :
2948478
Title :
On Achievable Sum Rate for Vector Gaussian Interference Channels
Author :
Shang, Xiaohu ; Chen, Biao ; Gans, Michael J.
Author_Institution :
Dept. of EECS, Syracuse Univ., NY
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
2215
Lastpage :
2219
Abstract :
We develop a procedure to compute a lower bound of the sum capacity for the vector Gaussian interference channel (IFC). The obtained lower bound is shown to be tight for the very strong interference case and the procedure can be used to construct an inner bound for the vector Gaussian IFC. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of the sum rate as a function of the bandwidth allocation factor for the vector channel case. Numerical examples indicate that the achievable sum rate via the superposition code compares favorably with orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart
Keywords :
Gaussian channels; bandwidth allocation; frequency division multiplexing; interference; achievable sum rate; bandwidth allocation factor; frequency division multiplexing; superposition code; vector Gaussian interference channels; Broadcasting; Channel allocation; Channel capacity; Covariance matrix; Frequency division multiplexing; Gallium nitride; Interference channels; MIMO; Time sharing computer systems; Transmitters; achievable rate region; sum capacity; vector Gaussian interference channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261944
Filename :
4036363
Link To Document :
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