NDLI: Fixed-complexity vector perturbation with block diagonalization for MU-MIMO systems

Content Provider	IEEE Xplore Digital Library
Author	Mohaisen, M. Bing Hui Kyung Hi Chang Seunghwan Ji Jinsoup Joung
Copyright Year	2009
Description	Author affiliation: Innowireless Company, 463-824 Seongnam, Korea (Seunghwan Ji; Jinsoup Joung) \|\| Inha University, Graduate school of IT & T, 402-751 Incheon, Korea (Mohaisen, M.; Bing Hui; Kyung Hi Chang)
Abstract	Block diagonalization (BD) is an attractive technique that transforms the multi-user multiple-input multiple-output (MU-MIMO) channel into parallel single-user MIMO (SU-MIMO) channels with zero inter-user interference (IUI). In this paper, we combine the BD technique with two deterministic vector perturbation (VP) algorithms that reduce the transmit power in MU-MIMO systems with linear precoding. These techniques are the fixed-complexity sphere encoder (FSE) and the QR-decomposition with M-algorithm encoder (QRDM-E). In contrast to the conventional BD VP technique, which is based on the sphere encoder (SE), the proposed techniques have fixed complexity and a tradeoff between performance and complexity can be achieved by controlling the size of the set of candidates for the perturbation vector. Simulation results and analysis demonstrate the properness of the proposed techniques for the next generation mobile communications systems which are latency and computational complexity limited. In MU-MIMO system with 4 users each equipped with 2 receive antennas, simulation results show that the proposed BD-FSE and BD-QRDM-E outperforms the conventional BD-THP (Tomlinson Harashima precoding) by 5.5 and 7.4dB, respectively, at a target BER of $10^{−4}.$
Starting Page	238
Ending Page	243
File Size	460204
Page Count	6
File Format	PDF
ISBN	9781424455317
e-ISBN	9781424455331
DOI	10.1109/MICC.2009.5431503
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Communication system control Interference Mobile communication Vectors Computational complexity Vector Perturbation Sphere Encoder Delay Analytical models Multi-user MIMO QRD-M Encoder Block Diagonalization MIMO Size control
Content Type	Text
Resource Type	Article

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