A Review of Fixed-Complexity Vector Perturbation for MU-MIMO
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Recently, there has been an increasing demand of high data rates services, where several multiuser multipleinput multiple-output (MU-MIMO) techniques were introduced to meet these demands. Among these techniques, vector perturbation combined with linear precoding techniques, such as zero-forcing and minimum mean-square error, have been proven to be efficient in reducing the transmit power and hence, perform close to the optimum algorithm. In this paper, we review several fixed-complexity vector perturbation techniques and investigate their performance under both perfect and imperfect channel knowledge at the transmitter. Also, we investigate the combination of block diagonalization with vector perturbation outline its merits.
Abstract
Recently, there has been an increasing demand of high data rates services, where several multiuser multipleinput multiple-output (MU-MIMO) techniques were introduced to meet these demands. Among these techniques, vector perturbation combined with linear precoding techniques, such as zero-forcing and minimum mean-square error, have been proven to be efficient in reducing the transmit power and hence, perform close to the optimum algorithm. In this paper, we review several fixed-complexity vector perturbation techniques and investigate their performance under both perfect and imperfect channel knowledge at the transmitter. Also, we investigate the combination of block diagonalization with vector perturbation outline its merits.
참고문헌 (22)
- I. E. Telatar, "Capacity of multi-antenna Gaussian channels", European Transactions on Telecommunications, 10(6), pp.585~595 (1999)
- W. Yu, "Sum capacity of Gaussian vector broadcast channels", IEEE Transactions on Information Theory, 50(9), pp.1875~1892 (2004)
- M. Costa, "Writing on dirty paper", IEEE Transactions on Information Theory, 29(3), pp.439~441 (1983)
- C. B. Peel, "A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part I : Channel inversion and regularization", IEEE Transactions on Communications, 53(1), pp.195~202 (2005)
- A. K. Lenstra, "Factoring polynomials with rational coefficients", Mathematische Annalen, 261(4), pp.515~534 (1982)
- C. Windpassinger, "Low complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction", Proceedings of 2003 IEEE Information Theory Workshop, pp.345~348 (2003)
- M. Seysen, "Simultaneous reduction of a lattice basis and its reciprocal basis", Combinatorica, 13(3), pp.363~376 (1993)
- J. Jalden, "Worst-and average-case complexity of LLL lattice reduction in MIMO wireless systems", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2008), pp.2685~2688 (2008)
- M. Tomlinson, "New automatic equalizer employing modulo arithmetic", Electronics Letters, 7(5), pp.138~139 (1971)
- H. Harashima, "Matched-transmission technique for channels with intersymbol interference", IEEE Transactions on Communications, 20(4), pp.774~780 (1972)
- J. Liu, "Improved Tomlinson-Harashima precoding for the downlink for multi-user MIMO systems", Canadian Journal of Electrical and Computer Engineering, 32(3), pp.133~144 (2007)
- B. M. Hochwald, "A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part II : Perturbation", IEEE Transactions on Communications, 53(3), pp.537~544 (2005)
- J. Zhang, "Near-capacity MIMO multiuser precoding with QRD-M algorithm", Proceedings of 39th Asilomar Conference on Signals, Systems and Computers (ACSSC), pp.1498~1502 (2005)
- 매너모하이센, "Fixed-Complexity Sphere Encoder for Multi-User MIMO Systems", Journal of Communications and Networks, 13(1), pp.63~69 (2011), 한국통신학회
- M. Mohaisen, "Parallel QRD-M encoder decentralized for multi-user MIMO systems", Proceedings of 2011 IEEE International Conference on Communications (ICC), pp.1~5 (2011)
- M. Mohaisen, "Parallel QRD-M encoder for multi-user MIMO systems", Telecommunication Systems, 57(3), pp.261~270 (2014)
- M. Mohaisen, "“Fixed-complexity vector perturbation with block diagonalization for MU-MIMO systems", Proceedings of 2009 IEEE 9th Malaysia International Conference on Communications (MICC), pp.238~243 (2009)
- K. Zu, "Generalized design of low-complexity block diagonalization type precoding algorithms for multiuser MIMO systems", IEEE Transactions on Communications, 61(10), pp.4232~4242 (2013)
- L. Liang, "Limited feedback-based multi-antenna relay broadcast channels with block diagonalization", IEEE Transactions on Wireless Communications, 12(8), pp.2092~2101 (2013)
- S. P. Lloyd, "Least squares quantization in PCM", IEEE Transactions on Information Theory, 28(2), pp.129~137 (1982)
- J. Max, "Quantizing for minimum distortion", IEEE Transactions on Information Theory, 6(l), pp.7~12 (1960)
- ManarMohaisen, "Transmit Antenna Selection for Multi-user MIMO Precoding Systems with Limited Feedback", Journal of Information and Communication Convergence Engineering, 9(2), pp.193~196 (2011), 한국정보통신학회