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| Interference alignment (IA) is a potential interfe- rence management technology. As is known to us, IA can achieve the maximum spatial degrees of freedom (DOF) in MIMO interference channels. However, the perfect alignment condition, which is the necessary condition of IA, is not always existent. Once it does not exist, interference can not be completely aligned and part of interference leaks into the useful signal subspace. In this paper, we present a novel self-adapting interference alignment algorithm. In our algorithm, according to different alignment conditions, designing transmit beamforming matrices can be divided into two types. Especially, when the alignment condition is switched from perfect to imperfect, transmit beamforming matrices in the propose algorithm can not only eliminate the intra-cell inter-user interference (IUI) and the aligned inter-cell interference (ICI), but also mitigate the leaked ICI in the maximum extent. Finally, Simulations show that the proposed algorithm achieves the better performance in terms of sum rate. |
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| Keywords:mobile communication; Interference channel; Interference alignment; Self-adapting; Max-SLNR |
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