Robust power allocation for MIMO beamforming under time varying channel conditions

Vishwesh V. Kulkarni; Jayeta Biswas; Ren Ping Liu; Iain B. Collings; Sanjay K. Jha

doi:10.1109/VETECF.2011.6093136

Robust power allocation for MIMO beamforming under time varying channel conditions

Vishwesh V. Kulkarni^*, Jayeta Biswas, Ren Ping Liu, Iain B. Collings, Sanjay K. Jha

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions.

Original language	English
Title of host publication	2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011
Subtitle of host publication	Proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781424483273
ISBN (Print)	9781424483280
DOIs	https://doi.org/10.1109/VETECF.2011.6093136
Publication status	Published - 2011
Externally published	Yes
Event	IEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States Duration: 5 Sept 2011 → 8 Sept 2011

Other

Other	IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/Territory	United States
City	San Francisco, CA
Period	5/09/11 → 8/09/11

Keywords

MU-MIMO
power allocation
QoS
sliding mode controller

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10.1109/VETECF.2011.6093136

Cite this

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title = "Robust power allocation for MIMO beamforming under time varying channel conditions",

abstract = "We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions.",

keywords = "MU-MIMO, power allocation, QoS, sliding mode controller",

author = "Kulkarni, {Vishwesh V.} and Jayeta Biswas and Liu, {Ren Ping} and Collings, {Iain B.} and Jha, {Sanjay K.}",

year = "2011",

doi = "10.1109/VETECF.2011.6093136",

language = "English",

isbn = "9781424483280",

pages = "1--5",

booktitle = "2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE 74th Vehicular Technology Conference, VTC Fall 2011 ; Conference date: 05-09-2011 Through 08-09-2011",

}

Kulkarni, VV, Biswas, J, Liu, RP, Collings, IB & Jha, SK 2011, Robust power allocation for MIMO beamforming under time varying channel conditions. in 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011: Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-5, IEEE 74th Vehicular Technology Conference, VTC Fall 2011, San Francisco, CA, United States, 5/09/11. https://doi.org/10.1109/VETECF.2011.6093136

Robust power allocation for MIMO beamforming under time varying channel conditions. / Kulkarni, Vishwesh V.; Biswas, Jayeta; Liu, Ren Ping et al.
2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011: Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2011. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Robust power allocation for MIMO beamforming under time varying channel conditions

AU - Kulkarni, Vishwesh V.

AU - Biswas, Jayeta

AU - Liu, Ren Ping

AU - Collings, Iain B.

AU - Jha, Sanjay K.

PY - 2011

Y1 - 2011

N2 - We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions.

AB - We consider the downlink transmit power allocation problems in multi-user MIMO wireless networks using zeroforcing beamforming. Traditionally such problems are solved by water-filling algorithm under the assumption of perfect channel knowledge. However when channel information is not known a priori or time varying the water-filling solution is shown to be unstable. We use the sliding mode control theory to synthesize the transmit powers so that the target SINR requirements of all users are met. We synthesize the sliding mode controller for the case of zero-forcing beamforming. The synthesis problem is solved under time varying Rayleigh fading channel conditions. Our solutions and simulation results show that our sliding mode controller is stable and delivers better quality of service under practical channel conditions.

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Robust power allocation for MIMO beamforming under time varying channel conditions

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