JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Review of Fixed-Complexity Vector Perturbation for MU-MIMO
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Review of Fixed-Complexity Vector Perturbation for MU-MIMO
Mohaisen, Manar;
  PDF(new window)
 Abstract
Recently, there has been an increasing demand of high data rates services, where several multiuser multiple-input 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.
 Keywords
Block Diagonalization;MU-MIMO;Perfect and Imperfect Channel Knowledge;Quantization;Vector Perturbation;
 Language
English
 Cited by
 References
1.
I. E. Telatar, "Capacity of multi-antenna Gaussian channels," European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, 1999. crossref(new window)

2.
W. Yu and J. Cioffi, "Sum capacity of Gaussian vector broadcast channels," IEEE Transactions on Information Theory, vol. 50, no. 9, pp. 1875-1892, 2004. crossref(new window)

3.
M. Costa, "Writing on dirty paper," IEEE Transactions on Information Theory, vol. 29, no. 3, pp. 439-441, 1983. crossref(new window)

4.
C. B. Peel, B. M. Hochwald, and A. L. Swindlehurst, "A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part I: Channel inversion and regularization," IEEE Transactions on Communications, vol. 53, no. 1, pp. 195-202, 2005. crossref(new window)

5.
A. K. Lenstra, H. W. Lenstra, and L. Lovasz, "Factoring polynomials with rational coefficients," Mathematische Annalen, vol. 261, no. 4, pp. 515-534, 1982. crossref(new window)

6.
C. Windpassinger and R. F. H. Fischer, "Low complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction," in Proceedings of 2003 IEEE Information Theory Workshop, Paris, France, 2003, pp. 345-348.

7.
M. Seysen, "Simultaneous reduction of a lattice basis and its reciprocal basis," Combinatorica, vol. 13, no. 3, pp. 363-376, 1993. crossref(new window)

8.
J. Jalden, D. Seethaler, and G. Matz, "Worst- and average-case complexity of LLL lattice reduction in MIMO wireless systems," in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2008), Las Vegas, NV, 2008, pp. 2685-2688.

9.
M. Tomlinson, "New automatic equalizer employing modulo arithmetic," Electronics Letters, vol. 7, no. 5, pp. 138-139, 1971. crossref(new window)

10.
H. Harashima and H. Miyakawa, "Matched-transmission technique for channels with intersymbol interference," IEEE Transactions on Communications, vol. 20, no. 4, pp. 774-780, 1972. crossref(new window)

11.
J. Liu, and W. Kizymien, "Improved Tomlinson-Harashima precoding for the downlink for multi-user MIMO systems," Canadian Journal of Electrical and Computer Engineering, vol. 32, no. 3, pp. 133-144, 2007. crossref(new window)

12.
B. M. Hochwald, C. Peel, and A. L. Swindlehurst, "A vector-perturbation technique for near-capacity multiantenna multiuser communication. Part II: Perturbation," IEEE Transactions on Communications, vol. 53, no. 3, pp. 537-544, 2005. crossref(new window)

13.
J. Zhang and K. J. Kim, "Near-capacity MIMO multiuser precoding with QRD-M algorithm," in Proceedings of 39th Asilomar Conference on Signals, Systems and Computers (ACSSC), Pacific Grove, CA, 2005, pp. 1498-1502.

14.
M. Mohaisen and K. Chang, "Fixed-complexity sphere encoder for multi-user MIMO systems," Journal of Communications and Networks, vol. 13, no. 1, pp. 63-69, 2011. crossref(new window)

15.
M. Mohaisen, A. Mohaisen, Y. Li, and P. Luo, "Parallel QRD-M encoder decentralized for multi-user MIMO systems," in Proceedings of 2011 IEEE International Conference on Communications (ICC), Kyoto, Japan, 2011, pp. 1-5.

16.
M. Mohaisen, A. Mohaisen, and M. Debbah, "Parallel QRD-M encoder for multi-user MIMO systems," Telecommunication Systems, vol. 57, no. 3, pp. 261-270, 2014. crossref(new window)

17.
M. Mohaisen, B. Hui, K. Chang, S. Ji, and J. Joung, "Fixed-complexity vector perturbation with block diagonalization for MU-MIMO systems," in Proceedings of 2009 IEEE 9th Malaysia International Conference on Communications (MICC), Kuala Lumpur, Malaysia, 2009, pp. 238-243.

18.
K. Zu, R. C. de Lamare, and M. Haardt, "Generalized design of low-complexity block diagonalization type precoding algorithms for multiuser MIMO systems," IEEE Transactions on Communications, vol. 61, no. 10, pp. 4232-4242, 2013. crossref(new window)

19.
L. Liang, W. Xu, and X. Dong, "Limited feedback-based multi-antenna relay broadcast channels with block diagonalization," IEEE Transactions on Wireless Communications, vol. 12, no. 8, pp. 2092-2101, 2013.

20.
S. P. Lloyd, "Least squares quantization in PCM," IEEE Transactions on Information Theory, vol. 28, no. 2, pp. 129-137, 1982. crossref(new window)

21.
J. Max, "Quantizing for minimum distortion," IEEE Transactions on Information Theory, vol. 6, no. l, pp. 7-12, 1960. crossref(new window)

22.
M. Mohaisen, "Transmit antenna selection for multi-user MIMO precoding systems with limited feexdback," International Journal of KIMICS, vol. 9, no. 2, pp. 193-196, 2011.