Precoding is an effective method to improve the transmission quality in multiple-input multiple-output (MIMO) systems. In a real-world system, the precoder is selected from a codebook, and its index is fed back to the...
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ISBN:
(纸本)9781424480166
Precoding is an effective method to improve the transmission quality in multiple-input multiple-output (MIMO) systems. In a real-world system, the precoder is selected from a codebook, and its index is fed back to the transmitter. For a maximum-likelihood (ML) receiver, the criterion for precoderselection is equivalent to maximizing the minimum distance of the received signal constellation. T he derivation of the optimum solution, however, may be of high computational complexity due to the requirement of the exhaustive search. To reduce the computational complexity, a suboptimum solution based on singular value decomposition (SVD) has been proposed in literature. In this paper, we propose using a QR decomposition (qrd) basedmethod for precoderselection. To further improve the system performance, we also propose an enhanced qrd-basedselectionmethod. With Givens rotations, the computational complexity of the enhanced qrd-basedmethod can be effectively reduced. Finally, we combine precoding with receive antenna selection, and use the proposed qrd-basedmethods to solve this joint optimization problem. Simulation results show that the proposed approaches can significantly improve the system performance.
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