On the separability of parallel Gaussian interference channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Iterative MMSE precoding for MIMO interference channel
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Weighted sum-rate maximization scheduling for MIMO ad hoc networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Monotonic optimization framework for the two-user MISO interference channel
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Capacity regions and sum-rate capacities of vector Gaussian interference channels
IEEE Transactions on Information Theory
Adaptive spatial intercell interference cancellation in multicell wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
| Hi-index | 754.90 |
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