Computer Science – Information Theory
Scientific paper
2011-05-02
Computer Science
Information Theory
30 pages, 10 figures, accepted by IEEE Transaction on Signal Processing
Scientific paper
Recent works on MIMO interference channels have shown that interference alignment can significantly increase the achievable degrees of freedom (DoF) of the network. However, most of these works have assumed a fully connected interference graph. In this paper, we investigate how the partial connectivity can be exploited to enhance system performance in MIMO interference networks. We propose a novel interference mitigation scheme which introduces constraints for the signal subspaces of the precoders and decorrelators to mitigate "many" interference nulling constraints at a cost of "little" freedoms in precoder and decorrelator design so as to extend the feasibility region of the interference alignment scheme. Our analysis shows that the proposed algorithm can significantly increase system DoF in symmetric partially connected MIMO interference networks. We also compare the performance of the proposed scheme with various baselines and show via simulations that the proposed algorithms could achieve significant gain in the system performance of randomly connected interference networks.
Lau Vincent K. N.
Ruan Liangzhong
No associations
LandOfFree
Dynamic Interference Mitigation for Generalized Partially Connected Quasi-static MIMO Interference Channel does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Dynamic Interference Mitigation for Generalized Partially Connected Quasi-static MIMO Interference Channel, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Dynamic Interference Mitigation for Generalized Partially Connected Quasi-static MIMO Interference Channel will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-426779