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In this paper, we propose a new signal dimensioning scheme for multi-user MIMO downlink, that adjusts the signal dimensions for different users to maximize the system throughput. By adapting the signal dimensions, we can achieve better tradeoff between multiplexing and diversity, and obtain much better bit rate error performance and higher capacity.
Interference can be aligned in either vector space (MIMO) or signal scale (lattice). Existing literatures on interference alignment treat these two approaches separately. In this paper, a unified design framework of interference suppression is proposed for interference channel, where both vector alignment and lattice alignment are considered jointly. The framework could adapt the interference alignment...
In this paper, an interference alignment system for the distributed MIMO network is investigated. We propose a new precoding scheme using interference alignment in modulation signal domain. The simulation results show that the proposed one-dimensional precoding scheme can provide significant performance improvement over the conventional schemes using interference alignment.
In this paper, we propose an improved precoding scheme using interference alignment on modulation signal for multi-user MIMO downlink transmission. The simulation shows that the new precoding scheme can significantly reduce interference and provide much better bit error rate performance than the conventional precoding schemes for multi-user MIMO.
In this paper, an interference alignment system for the MIMO network is investigated. Three different precoding schemes, which are based on zero-forcing (ZF), minimum mean square error (MMSE) and maximum SLR criteria, are proposed. The simulation results show that the proposed precoding schemes are very efficient and can provide good performance for the considered MIMO network.
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