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Summary and Conclusions Multiuser MIMO Systems

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5.9 Advanced Techniques for MIMO 193


Table 5.2 Summary of MIMO Techniques Technique
N
r
, N
t
Feedback? Rate r
a
Comments Reliability-Enchancement Techniques r
≤1
Selection combining
N
r
≥ 1 N
t
= 1 Open loop
r = 1 Increases average SNR by 1 + 12 +
12 + ... 1N
r
Maximal ratio combining
N
r
≥ 1 N
t
= 1 Open loop
r = 1 Increases SNR to
γ
Σ
= γ
1
+ γ
2 + ... +
γ
Nr
Spacetime block codes
N
r
≥ 1 N
t
1 Open loop
r ≤ 1
Increases SNR to γ
Σ =
γ ||H||
F
N
t
Transmit selection diversity
N
r
≥ 1 N
t
1 Closed loop: Feed-
back desired antenna index
r = 1 usually r N
t
Same SNR as selection combining
DOA beamforming
N
r
≥ 1 N
t
≥ 1 N
r
+ N
t
2 Open loop if N
t
= 1 Closed loop if N
t
1 or used for interfer-
ence suppression r = 1
Can suppress up to N
r
– 1 + N
t
– 1 interference signals and increase gain
in desired direction. Ineffective in multipath channels
Precoding Techniques
Linear diversity precoding
N
r
≥ 1 N
t
1 Closed loop: Feed-
back channel matrix r = 1
Special case of linear beamforming; only one data stream is sent. Increases
SNR to γ
Σ =
γ ||H||
F
Eigenbeam- forming
N
r
≥ 1 N
t
1 Closed loop: Feed-
back channel matrix 1
≤ r ≤ minN
r
,–L N
t
–L Can be used to both increase desired
signal gain and suppress L interfering users
General linear precoding
N
r
1 N
t
1 Closed loop: Feed-
back channel matrix 1
≤ r ≤ minN
r
, N
t
Similar to eigenbeamforming, but inter- fering signals generally not suppressed;
goal is to send multiple data streams
Spatial Multiplexing
Open-loop spatial multiplexing
N
r
1 N
t
1 Open loop
r = minN
r
, N
t
Can receive in a variety of ways: lin- ear receiver MMSE, ML receiver,
sphere decoder. If N
r
N
t
, select best N
r
antennas to send streams BLAST
N
r
1 N
t
1 Open loop
r = minN
r
, N
t
Successively decode transmitted streams
General linear precoding
N
r
1 N
t
1 Closed loop: Feed-
back channel matrix 1
≤ r ≤ minN
r
, N
t
Same as preceding; both a precoding technique and a spatial-multiplexing
technique a. r is similar to the number of streams M but slightly more general, since r 1 is possible for some of the
transmit-diversity techniques.
194 Chapter 5 • Multiple-Antenna Techniques

5.11 Bibliography


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[2] J. G. Andrews, W. Choi, and R. W. Heath. Overcoming interference in multi-antenna cellular net- works. IEEE Wireless Communications Magazine, forthcoming available at: www.ece.utexas.edu
jandrews. [3] R. Blum. MIMO capacity with interference. IEEE Journal on Selected Areas in Communications,
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IEEE Wireless Networking and Communications Conference, pp. 1–6, Chicago, September 2000. [7] G. Caire and S. Shamai. On the achievable throughput of a multi-antenna gaussian broadcast channel.
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input multiple-output MIMO cellular system. IEEE Transactions on Communications, 498:1307– 1311, August 2001.
[9] R. Chen, J. Andrews, and R. W. Heath. Transmit selection diversity for multiuser spatial multiplexing systems. In Proceedings, IEEE Globecom, pp. 2625–2629, Dallas, TX, December 2004.
[10] R. Chen, J. G. Andrews, R. W. Heath, and A. Ghosh. Uplink power control in multi-cell spatial multi- plexing wireless systems. IEEE Transactions on Wireless Communications, forthcoming.
[11] R. Chen, R. W. Heath, and J. G. Andrews. Transmit selection diversity for multiuser spatial division multiplexing wireless systems. IEEE Transactions on Signal Processing, March 2007.
[12] Z. Chen, J. Yuan, B. Vucetic, and Z. Zhou. Performance of Alamouti scheme with transmit antenna selection. Electronics Letters, pp. 1666–1667, November 2003.
[13] M. Chiani, M. Z. Win, and A. Zanella. On the capacity of spatially correlated MIMO Rayleigh-fading channels. IEEE Transactions on Information Theory, 4910:2363–2371, October 2003.
[14] W. Choi and J. G. Andrews. Spatial multiplexing in cellular MIMO CDMA systems with linear receivers. In Proceedings, IEEE International Conference on Communications, Seoul, Korea, May
2005. [15] W. Choi and J. G. Andrews. Base station cooperatively scheduled transmission in a cellular MIMO
TDMA system. In Proceedings, Conference on Information Sciences and Systems CISS, March 2006.
[16] W. Choi and J. G. Andrews, Downlink Performance and Capacity of Distributed Antenna Systems in a Multicell Environment, IEEE Transactions on Wireless Communications, 61, January 2007.
[17] C.-N. Chuah, D. N. C. Tse, J. M. Kahn, and R. A. Valenzuela. Capacity scaling in MIMO wireless systems under correlated fading. IEEE Transactions on Information Theory, 48:637–651, March 2002.
[18] L. J. Cimini. Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing. IEEE Transactions on Communications, 337:665–675, July 1985.
[19] H. Dai, A. Molisch, and H. V. Poor. Downlink capacity of interference-limited MIMO systems with joint detection. IEEE Transactions on Wireless Communications, 32:442–453, March 2004.

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