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In this paper, we propose a new coordinated spatial multiplexing algorithm for multiuser multiple-input multiple-output (MIMO) downlink systems. Unlike other conventional coordination methods, our scheme exploits orthogonalized effective channels to yield the transmit precoding and receive combining matrices without requiring an iterative operation. In order to determine each row of the effective...
It has been shown that the performance of multiple-input multiple-output (MIMO) spatial multiplexing systems is significantly degraded when spatial correlation exists between transmit and receive antenna pairs. In this paper, we investigate designs of a new statistical precoder for spatial multiplexing systems with maximum likelihood (ML) receiver which requires only correlation statistics at the...
Recently linear processing strategies have been developed to approach the optimum performance of dirty paper coding with low complexity in multiuser multiple-input multiple-output (MIMO) downlink systems. In this paper, we propose a new linear coordinated beamforming algorithm which is applicable to the systems with an arbitrary number of antennas and users. Unlike other conventional methods, our...
In this paper, we propose a new groupwise receiver combiner design method for spatial multiplexing multiple- input multiple-output (MIMO) systems. The conventional group detection (GD) suffers from a considerable performance loss since the noise components are not taken into account. The proposed method further enhances the detection performance than the conventional GD by considering the noise correlation...
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