MIMO Antenna Selections using CSI from Reciprocal Channel
It is well known that the channel capacity of Multiple-
Input-Multiple-Output (MIMO) system increases as the number of
antenna pairs between transmitter and receiver increases but it suffers
from multiple expensive RF chains. To reduce the cost of RF chains,
Antenna Selection (AS) method can offer a good tradeoff between
expense and performance. In a transmitting AS system, Channel
State Information (CSI) feedback is necessarily required to choose
the best subset of antennas in which the effects of delays and errors
occurred in feedback channels are the most dominant factors
degrading the performance of the AS method. This paper presents the
concept of AS method using CSI from channel reciprocity instead of
feedback method. Reciprocity technique can easily archive CSI by
utilizing a reverse channel where the forward and reverse channels
are symmetrically considered in time, frequency and location. In this
work, the capacity performance of MIMO system when using AS
method at transmitter with reciprocity channels is investigated by
own developing Testbed. The obtained results show that reciprocity
technique offers capacity close to a system with a perfect CSI and
gains a higher capacity than a system without AS method from 0.9 to
2.2 bps/Hz at SNR 10 dB.
[1] Murch R.D., Letaief K.B., Antenna systems for broadband wireless
access, IEEE Communications Magazine 2002; 40(4) : 76-83.
[2] Wong K.K., Murch R.D., Letaief K.B., Performance enhancement of
multiuser MIMO wireless communications systems, IEEE Transactions
on Communications 2002; 50(12) : 1960-1970.
[3] Foschini G.J., Gans M.J., On limits of wireless communications in a
fading environment when using multiple antennas, Wireless Personal
Communications 1998; 6(3) : 311-335.
[4] Telatar I.E., Capacity of multiantenna Gaussian channels, AT&T Bell
Laboratories, Tech. Memo. 1995.
[5] Kong N., Milstein L.B., Combined average SNR of a generalized
diversity selection combining scheme, IEEE International Conference
on Communications 1998; 3 : 1556-1560.
[6] Win M.Z., Winters J.H., Analysis of hybrid selection/maximalratio
combining in Rayleigh fading, IEEE Transactions on Communications
1999; 47 : 1773-1776.
[7] Win M.Z., Winters J.H., Analysis of hybrid selection/maximal-ratio
combing of diversity branches with unequal SNR in Rayleigh fading,
IEEE Vehicular Technology Conference Proceedings 1999; 215-220.
[8] Win M. Z., Beaulieu N. C., Shepp L. A., Logan B. F., Winters J. H., On
the SNR penalty of MPSK with hybrid selection/maximal ratio
combining over IID Rayleigh fading channels, IEEE Transactions on
Communications 2003; 51(6) : 1012-1023.
[9] Molisch A., Win M.Z., Winters J.H., Capacity of MIMO systems with
antenna selection, IEEE International Conference on Communications
2001: 570-574.
[10] Nabar R., Gore D., Paulrai A., Optimal selection and use of transmit
antennas in wireless systems, IEEE International Conference on
Telecommunications 2000.
[11] Blum R.S., Winters J.H., On optimum MIMO with antenna selection,
Communications Letters 2002; 6(8) : 322-324.
[12] Dai L., Sfar S., Letaief K.B., Optimal antenna selection based on
capacity maximization for MIMO systems in correlated channels, IEEE
Transactions on Communications 2006; 54(3) : 563-573.
[13] Heath R.W., Jr., Paulraj A.J., Antenna selection for spatial multiplexing
systems based on minimum error rate, IEEE International Conference on
Communications; 2276-2280.
[14] Ghrayeb A., Duman T.M., Performance analysis of MIMO systems with
antenna selection over quasi-static fading channels, IEEE Transactions
on Vehicular Technology 2003; 52(2) : 281-288.
[15] Yangyang Zhang, Gan Zheng, Chunlin Ji, Kai-Kit Wong, Edwards D.J.,
Tiejun Cui, Near-optimal joint antenna selection for amplify-andforward
relay networks, IEEE Wireless Communications & Signal
Processing 2009: 1-5
[16] Jiann G., Ching G., Larsson L. D., Modeling and evaluation of MIMO
systems exploiting channel reciprocity in TDD mode, IEEE Vehicular
Technology Conference Proceedings 2004; 6: 4265-4269.
[17] Tolli A., Codreanu M., Compensation of interference non-reciprocity in
adaptive TDD MIMO-OFDM systems , International Symposium on
Personal, Indoor, and Mobile Radio Communications 2004; 2: 859-863.
[18] Kim D., Torlak M., Rapid prototyping of a cost effective and flexible
4×4 mimo testbed, IEEE Sensor Array and Multichannel Signal
Processing Workshop 2008: 5-8.
[19] Nishimori K., Kudo R., Honma N., Takatori Y., Ohta Atsushi., Okada
K., Experimental evaluation using 16 × 16 multiuser MIMO testbed in
an actual indoor scenario, IEEE Antennas and Propagation Society
International Symposium 2008: 1-4.
[20] Azami F., Ghorssi A., Hemesi H., Mohammadi A., Abdipour A., Design
and implementation of a flexible 4×4 MIMO testbed, , International
Symposium on Telecommunications 2008: 268-272.
[21] Chen S., Jun C., Ohira T., Handbook on Advancements in Smart
Antenna Technologies for Wireless Networks, Information Science
Reference 2009: 474-499.
[22] Uthansakul P., Bialkowski K., Bialkowski M., Postula A., Assessing an
FPGA Implemented MIMO Testbed with the Use of Channel Emulator,
International Conference on Microwaves, Radar and Wireless
Communications 2006: 410-413.
[23] Onizawa T., Ohta A., Asai Y., Experiments on FPGA-Implemented
Eigenbeam MIMO-OFDM With Transmit Antenna Selection, IEEE
Transactions on Vehicular Technology 2009: 1281-1291.
[24] Heather MacLeod, Chris Loadman, Zhizhang (David) Chen,
Experimental Studies of the 2.4-GHz ISM Wireless Indoor Channel, 3rd
Annual Communication Networks and Services Research Conference,
2005, 63-68.
[1] Murch R.D., Letaief K.B., Antenna systems for broadband wireless
access, IEEE Communications Magazine 2002; 40(4) : 76-83.
[2] Wong K.K., Murch R.D., Letaief K.B., Performance enhancement of
multiuser MIMO wireless communications systems, IEEE Transactions
on Communications 2002; 50(12) : 1960-1970.
[3] Foschini G.J., Gans M.J., On limits of wireless communications in a
fading environment when using multiple antennas, Wireless Personal
Communications 1998; 6(3) : 311-335.
[4] Telatar I.E., Capacity of multiantenna Gaussian channels, AT&T Bell
Laboratories, Tech. Memo. 1995.
[5] Kong N., Milstein L.B., Combined average SNR of a generalized
diversity selection combining scheme, IEEE International Conference
on Communications 1998; 3 : 1556-1560.
[6] Win M.Z., Winters J.H., Analysis of hybrid selection/maximalratio
combining in Rayleigh fading, IEEE Transactions on Communications
1999; 47 : 1773-1776.
[7] Win M.Z., Winters J.H., Analysis of hybrid selection/maximal-ratio
combing of diversity branches with unequal SNR in Rayleigh fading,
IEEE Vehicular Technology Conference Proceedings 1999; 215-220.
[8] Win M. Z., Beaulieu N. C., Shepp L. A., Logan B. F., Winters J. H., On
the SNR penalty of MPSK with hybrid selection/maximal ratio
combining over IID Rayleigh fading channels, IEEE Transactions on
Communications 2003; 51(6) : 1012-1023.
[9] Molisch A., Win M.Z., Winters J.H., Capacity of MIMO systems with
antenna selection, IEEE International Conference on Communications
2001: 570-574.
[10] Nabar R., Gore D., Paulrai A., Optimal selection and use of transmit
antennas in wireless systems, IEEE International Conference on
Telecommunications 2000.
[11] Blum R.S., Winters J.H., On optimum MIMO with antenna selection,
Communications Letters 2002; 6(8) : 322-324.
[12] Dai L., Sfar S., Letaief K.B., Optimal antenna selection based on
capacity maximization for MIMO systems in correlated channels, IEEE
Transactions on Communications 2006; 54(3) : 563-573.
[13] Heath R.W., Jr., Paulraj A.J., Antenna selection for spatial multiplexing
systems based on minimum error rate, IEEE International Conference on
Communications; 2276-2280.
[14] Ghrayeb A., Duman T.M., Performance analysis of MIMO systems with
antenna selection over quasi-static fading channels, IEEE Transactions
on Vehicular Technology 2003; 52(2) : 281-288.
[15] Yangyang Zhang, Gan Zheng, Chunlin Ji, Kai-Kit Wong, Edwards D.J.,
Tiejun Cui, Near-optimal joint antenna selection for amplify-andforward
relay networks, IEEE Wireless Communications & Signal
Processing 2009: 1-5
[16] Jiann G., Ching G., Larsson L. D., Modeling and evaluation of MIMO
systems exploiting channel reciprocity in TDD mode, IEEE Vehicular
Technology Conference Proceedings 2004; 6: 4265-4269.
[17] Tolli A., Codreanu M., Compensation of interference non-reciprocity in
adaptive TDD MIMO-OFDM systems , International Symposium on
Personal, Indoor, and Mobile Radio Communications 2004; 2: 859-863.
[18] Kim D., Torlak M., Rapid prototyping of a cost effective and flexible
4×4 mimo testbed, IEEE Sensor Array and Multichannel Signal
Processing Workshop 2008: 5-8.
[19] Nishimori K., Kudo R., Honma N., Takatori Y., Ohta Atsushi., Okada
K., Experimental evaluation using 16 × 16 multiuser MIMO testbed in
an actual indoor scenario, IEEE Antennas and Propagation Society
International Symposium 2008: 1-4.
[20] Azami F., Ghorssi A., Hemesi H., Mohammadi A., Abdipour A., Design
and implementation of a flexible 4×4 MIMO testbed, , International
Symposium on Telecommunications 2008: 268-272.
[21] Chen S., Jun C., Ohira T., Handbook on Advancements in Smart
Antenna Technologies for Wireless Networks, Information Science
Reference 2009: 474-499.
[22] Uthansakul P., Bialkowski K., Bialkowski M., Postula A., Assessing an
FPGA Implemented MIMO Testbed with the Use of Channel Emulator,
International Conference on Microwaves, Radar and Wireless
Communications 2006: 410-413.
[23] Onizawa T., Ohta A., Asai Y., Experiments on FPGA-Implemented
Eigenbeam MIMO-OFDM With Transmit Antenna Selection, IEEE
Transactions on Vehicular Technology 2009: 1281-1291.
[24] Heather MacLeod, Chris Loadman, Zhizhang (David) Chen,
Experimental Studies of the 2.4-GHz ISM Wireless Indoor Channel, 3rd
Annual Communication Networks and Services Research Conference,
2005, 63-68.
@article{"International Journal of Electrical, Electronic and Communication Sciences:63917", author = "P. Uthansakul and K. Attakitmongkol and N. Promsuvana and M. Uthansakul", title = "MIMO Antenna Selections using CSI from Reciprocal Channel", abstract = "It is well known that the channel capacity of Multiple-
Input-Multiple-Output (MIMO) system increases as the number of
antenna pairs between transmitter and receiver increases but it suffers
from multiple expensive RF chains. To reduce the cost of RF chains,
Antenna Selection (AS) method can offer a good tradeoff between
expense and performance. In a transmitting AS system, Channel
State Information (CSI) feedback is necessarily required to choose
the best subset of antennas in which the effects of delays and errors
occurred in feedback channels are the most dominant factors
degrading the performance of the AS method. This paper presents the
concept of AS method using CSI from channel reciprocity instead of
feedback method. Reciprocity technique can easily archive CSI by
utilizing a reverse channel where the forward and reverse channels
are symmetrically considered in time, frequency and location. In this
work, the capacity performance of MIMO system when using AS
method at transmitter with reciprocity channels is investigated by
own developing Testbed. The obtained results show that reciprocity
technique offers capacity close to a system with a perfect CSI and
gains a higher capacity than a system without AS method from 0.9 to
2.2 bps/Hz at SNR 10 dB.", keywords = "Antenna Selection, Capacity, Channel,Measurement, MIMO, Reciprocity.", volume = "4", number = "8", pages = "1301-10", }
