Singular value decomposition-based multiuser multiple-input multiple-output vector perturbation-aided downlink transmitter and lattice-reduction-assisted uplink receiver pair

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Singular value decomposition-based multiuser multiple-input multiple-output vector perturbation-aided downlink transmitter and lattice-reduction-assisted uplink receiver pair

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A full-duplex uplink/downlink (UL/DL) system having a UL transmitter/receiver (transceiver) pair and a DL transceiver is considered. Both the UL and DL are improved. The DL is enhanced by a novel vector perturbation (VP)-aided singular value decomposition (SVD)-based precoding scheme, which is capable of exploiting the different-quality SVD eigenbeams and substantially reduces the overall average transmit power requirement of the traditional zero-forcing (ZF) precoder. By contrast, the UL is enhanced by a lattice reduction (LR)-aided receiver scheme designed for SVD-based multiuser multiple-input multiple-output (MU MIMO) UL transmission, when different modulation schemes are employed for different-quality eigenbeams. This new UL scheme avoids the noise-enhancement problem of the classic ZF UL receiver. The authors demonstrate that the proposed VP-aided DL and LR-assisted UL constitute a powerful full-duplex system, which achieves an ∼15 dB signal to noise ratio (SNR) gain for both SVD-based MU-MIMO DL and UL transmissions over the traditional ZF-aided schemes at a bit error rate (BER) of 10−3.

Inspec keywords: singular value decomposition; MIMO communication; error statistics; radio transceivers; modulation; precoding; radio links

Other keywords: precoding scheme; uplink transmitter-receiver; downlink transceiver; singular value decomposition; downlink transmitter; quality eigenbeam; lattice reduction-aided receiver scheme; zero-forcing precoder; lattice-reduction-assisted uplink receiver pair; full-duplex uplink-downlink system; multiuser multiple-input multiple-output vector perturbation; modulation scheme; bit error rate; full-duplex system

Subjects: Radio links and equipment; Other topics in statistics; Algebra; Codes

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      • Wübben, D., Böhnke, R., Kühn, V., Kammeyer, K.D.: `Near-maximum-likelihood detection of MIMO systems using MMSE-based lattice-reduction', Proc. IEEE Int. Conf. Communications, June 2004, Paris, France, p. 798–802.
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