Research Article
Iterative Interference Alignment for Joint Degrees of Freedom and Sum Capacity Optimization
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694679, author={Hsin-Jui Chou and Jen-Ming Wu and Jen-Yuan Hsu and Pang-An Ting}, title={Iterative Interference Alignment for Joint Degrees of Freedom and Sum Capacity Optimization}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={interference alignment capacity degrees of freedom interference channel mu-mimo}, doi={10.1109/ChinaCom.2013.6694679} }- Hsin-Jui Chou
Jen-Ming Wu
Jen-Yuan Hsu
Pang-An Ting
Year: 2013
Iterative Interference Alignment for Joint Degrees of Freedom and Sum Capacity Optimization
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694679
Abstract
In this paper, we consider the allocation of degrees of freedom (DoF) in multiple access \emph{K}-user MIMO interference channel to maximize the sum capacity. A set of linear precoding matrices and the corresponding decoding matrices are designed based on iterative interference alignment (IIA) to maximize the sum capacity and the maximal degrees of freedom (DoF). The existing iterative interference alignment (IIA) algorithm, which minimizes the interference caused by others, provides a suboptimal solution to maximum the sum capacity. While the IIA has attracted much attention in recent years, joint consideration of sum capacity and distribution of DoF is less addressed. Besides, the achievable DoF over \emph{K}-user MIMO interference channel is still an open issue. In this paper, an IIA algorithm is presented for joint DoF and sum capacity optimization. The number of data streams for each user is optimized joint with power allocation in IIA. Simulation results show that the proposed algorithm outperforms the existing IIA schemes in term of sum capacity.