Buradasınız

Anasayfa » Content

Performance of Multiuser MIMO-OFDM downlink system with ZF-BF and MMSE-BF linear precoding

Journal Name:

  • International Journal of Innovation and Applied Studies

Publication Year:

  • 2013

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
The forthcoming wireless communication networks, commonly referred to as fourth generation (4G) systems, are expected to support extremely high data rates as close as possible to the theoretical channel capacity while satisfying quality of service (QoS) constraints. The development of these systems must take into account the problem of limited radio resources and the harshness of wireless channel conditions. Two emerging technologies that are potential candidates for 4G wireless networks are multiuser multiple-input multiple-output (MU-MIMO) wireless systems and orthogonal frequency division multiplexing (OFDM). The MU-MIMO technique allows the spatial multiplexing gain at the base station to be obtained without the need for multiple antenna terminals, thereby allowing multiple users to receive data over the downlink simultaneously. The use of OFDM provides protection against intersymbol interference (ISI) and allows high data rates to be achieved. Linear precoding schemes for MU-MIMO wireless systems, e.g., zero forcing beamforming (ZF-BF) and minimum mean squared error beamforming (MMSE-BF), have been widely concerned for their high performance in single-carrier MUMIMO networks where a base station attempts to communicate simultaneously with multiple users. In this paper, we evaluate and extend the ZF-BF and MMSE-BF schemes from single-carrier MU-MIMO to multicarrier MU-MIMO architecture based on OFDM, i.e., MU-MIMO-OFDM system, assuming the availability of channel state information (CSI) at the transmitter. Numerical results demonstrate that both introduced linear precoding strategies provide a higher sum-rate capacity improvement compared to a conventional MU-MIMO-OFDM system where the users are served on a time division multiple access (TDMA) basis.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon ijias-13-163-04.pdf
  • 4
946-952
  • English

REFERENCES

References: 

[1] E.Telatar, “Capacity of multi-antenna Gaussian channels,” Eur. Trans.Telecommun., vol. 10, no. 6, pp. 585–595, Nov.
1999.
[2] R. van Nee and R. Prasad, OFDM for wireless multimedia communications. Artech House, 2000.
[3] A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Bolcskei, “An overview of MIMO communications a key to gigabit wireless,”
Proceedings of the IEEE, vol. 92, no. 2, pp. 198–218, 2004.
[4] D. Gesbert, M. Kountouris, R. Heath, C.-B. Chae, and T. Salzer, “Shifting the MIMO paradigm,” IEEE Sig. Proces. Mag.,
vol. 24, no. 5, Sep. 2007.
[5] M. Costa, “Writing on dirty paper,” IEEE Trans. Info. Theory, vol. 29,pp. 439–441, May. 1983.
[6] G. Caire and S. Shamai, “On the achievable throughput of a multiantenna Gaussian broadcast channel,” IEEE Trans.
Inform.Theory, vol. 49, no. 7, pp. 1691–1706, Jul. 2003.
[7] T. Yoo and A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,”
IEEE Journal on Selected Areas in Communications, vol. 24, no. 3, pp. 528–541, Mar. 2006.
[8] M. Joham, W. Utschick, and J. A. Utschick, “Linear transmit processing in MIMO communications systems,” IEEE Sig.
Proces. Mag., vol. 53, no. 8, pp. 2700–2712, Aug. 2005.
[9] N. Jindal, W. Rhee, S. Vishwanath, S. A. Jafar, and A. Goldsmith, “Sum power iterative water-filling for multi-antenna
gaussian broadcast channels,” IEEE Trans. on Information Theory, vol. 51, no. 4, pp. 1570–1580, April 2005.
2 4 6 8 10 12 14 16 18 20
0
5
10
15
20
25
30
35
40
M
Sum-rate capacity [bits/s/Hz]
TDMA
ZF-BF
MMSE-BF
Performance of Multiuser MIMO-OFDM downlink system with ZF-BF and MMSE-BF linear precoding
ISSN : 2028-9324 Vol. 3 No. 4, Aug. 2013 952
[10] 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 Trans. Commun., vol. 53, no. 1, pp. 195–
202, Jan. 2005.
[11] D. Tse and P. Viswanath, Fundamentals of wireless communications. Cambridge University Press, 2005.
[12] P. Viswanath, D. Tse, and R. Laroia, “Opportunistic beamforming using dumb antennas,” IEEE Trans. on Inf. Theory, vol.
48, no. 6, Jun. 2002.
[13] J. Kermoal, L. Schumacher, K. Pedersen, P. Mogensen, and F. Frederiksen, “A stochastic MIMO radio channel model with
experimental validation,” IEEE JSAC, vol. 20, no. 6, pp. 1211–1226, Aug 2002.

Thank you for copying data from http://www.arastirmax.com