Vector Quantization Multi-User Scheduling in Broadcast Channel

Juan Hang; Feng She

doi:10.4028/www.scientific.net/AMR.461.53

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 461Vector Quantization Multi-User Scheduling in...

Vector Quantization Multi-User Scheduling in Broadcast Channel

Abstract:

This paper deals with the research on user scheduling algorithm in downlink MIMO systems with limited feedback of channel state information (CSI). In this paper, we use vector quantization to simplify the procedure of user selection. By quantizing MIMO channel into several un-overlapped channel regions, we can get semi-orthogonal region sets with predefined threshold. Then, based on the semi-orthogonal region sets, we present a low complexity user scheduling algorithm. Simulation results show that the achieved sum rate by the presented algorithm can achieve nearly optimal sum rate while with much lower complexity than that of the existing algorithms

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Periodical:

Advanced Materials Research (Volume 461)

Pages:

53-57

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.461.53

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Online since:

February 2012

Authors:

Juan Hang, Feng She

Keywords:

Broadcast Channel, Downlink MIMO, Scheduling

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References

[1] S. M. Alamouti, A simple diversity techniques for wireless communications, IEEE J. Select. Areas commun., vol. 16, pp.1451-1458, Oct. (1998).

DOI: 10.1109/49.730453

Google Scholar

[2] T. Yoo, A. Goldsmith, On the optimality of multi-antenna broadcast scheduling using zero-forcing beamforming, IEEE J. Sel. Areas Commun., vol. 24, no. 3, pp.528-541. May. (2006).

DOI: 10.1109/jsac.2005.862421

Google Scholar

[3] T. Yoo, A. Goldsmith, Sum-rate optimal multi-antenna downlink beamforming strategy based on clique search, in Proc. IEEE Globecom, Nov. (2005).

DOI: 10.1109/glocom.2005.1577903

Google Scholar

[4] M. Andrews, K. Kumaran, K. Ramannan, A. Stolyar, and P. Whiting, Prociding quality of service over a shared wireless link, IEEE Communications Magazine, vol. 39, no. 2 pp.150-154, Feb. (2001).

DOI: 10.1109/35.900644

Google Scholar

[5] P. Viswanath, D. Tse, and R. Laroia, Opportunistic beamforming using dumb antennas, IEEE trans. Inf. Theory, vol. 48, no. 6, pp.1277-1294. May. (2002).

DOI: 10.1109/tit.2002.1003822

Google Scholar