Title :
On the Achievable Sum Rate for MIMO Interference Channels
Author :
Shang, Xiaohu ; Chen, Biao ; Gans, Michael J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY
Abstract :
In this correspondence, we study some information theoretical characteristics of vector Gaussian interference channels. Resorting to the superposition code technique, a lower bound of the sum capacity for the vector Gaussian interference channel is obtained. Alternatively, orthogonal transmission via frequency division multiplexing is considered and we establish the concavity of sum rate as 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: the lower bound obtained via the superposition code dominates the best achievable sum rate through orthogonal transmission. This improvement holds for all interference power levels, a sharp contrast to that of the scalar counterpart
Keywords :
Gaussian channels; MIMO systems; OFDM modulation; bandwidth allocation; channel capacity; channel coding; MIMO channel; bandwidth allocation factor; channel capacity; information theoretical characteristics; multiple input multiple output system; orthogonal frequency division multiplexing; superposition code technique; vector Gaussian interference channel; Broadcasting; Channel allocation; Frequency division multiplexing; Gallium nitride; Information theory; Interference channels; MIMO; Quantum computing; Time sharing computer systems; Transmitting antennas; Multiple-input–multiple-output (MIMO) communications; sum capacity; vector Gaussian interference channels;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.880051
