Noisy-Interference Sum-Rate Capacity for Vector Gaussian Interference   Channels
  New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize the existing results. More concise conditions for multiple-input-single-output, and single-input-multiple-output scenarios are obtained. 
Xiaohu Shang, and H. Vincent Poor
cs.IT math.IT