Research on QoS-aware power allocation scheme in multi-user MIMO systems based on regularized channel inversion precoding

Xin Jin; Lin Tian; Na Guan; Zhi Long Wu; Jing Lin Shi

Research on QoS-aware power allocation scheme in multi-user MIMO systems based on regularized channel inversion precoding

Xin Jin^*, Lin Tian, Na Guan, Zhi Long Wu, Jing Lin Shi

^*Corresponding author for this work

School of Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In multiuser MIMO systems, due to the inter-user interference, the power allocation issue with the Regularized channel inversion (RCI) precoding becomes a nonconvex optimization problem. A QoS- aware power allocation scheme was proposed in order to satisfy the users' QoS requirements and maximize the system sum rate. The feasibility problem was analyzed and a QoS proportional adjustment scheme was designed to make sure the problem feasible. Then, a successive geometric programming algorithm was proposed to obtain the optimal power solution. Finally, a sliding window based power allocation framework was presented for QoS constraint management. Numerical results show that the proposed power allocation scheme can effectively guarantee the users' QoS and significantly increase the system sum rate.

Original language	English
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	24
Issue number	2
Publication status	Published - Feb 2012

Keywords

Convex optimization
MU-MIMO
Power allocation
QoS guarantee
RCI precoding

Cite this

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title = "Research on QoS-aware power allocation scheme in multi-user MIMO systems based on regularized channel inversion precoding",

abstract = "In multiuser MIMO systems, due to the inter-user interference, the power allocation issue with the Regularized channel inversion (RCI) precoding becomes a nonconvex optimization problem. A QoS- aware power allocation scheme was proposed in order to satisfy the users' QoS requirements and maximize the system sum rate. The feasibility problem was analyzed and a QoS proportional adjustment scheme was designed to make sure the problem feasible. Then, a successive geometric programming algorithm was proposed to obtain the optimal power solution. Finally, a sliding window based power allocation framework was presented for QoS constraint management. Numerical results show that the proposed power allocation scheme can effectively guarantee the users' QoS and significantly increase the system sum rate.",

keywords = "Convex optimization, MU-MIMO, Power allocation, QoS guarantee, RCI precoding",

author = "Xin Jin and Lin Tian and Na Guan and Wu, {Zhi Long} and Shi, {Jing Lin}",

year = "2012",

month = feb,

language = "English",

volume = "24",

journal = "Xitong Fangzhen Xuebao / Journal of System Simulation",

issn = "1004-731X",

publisher = "Acta Simulata Systematica Sinica",

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TY - JOUR

T1 - Research on QoS-aware power allocation scheme in multi-user MIMO systems based on regularized channel inversion precoding

AU - Jin, Xin

AU - Tian, Lin

AU - Guan, Na

AU - Wu, Zhi Long

AU - Shi, Jing Lin

PY - 2012/2

Y1 - 2012/2

N2 - In multiuser MIMO systems, due to the inter-user interference, the power allocation issue with the Regularized channel inversion (RCI) precoding becomes a nonconvex optimization problem. A QoS- aware power allocation scheme was proposed in order to satisfy the users' QoS requirements and maximize the system sum rate. The feasibility problem was analyzed and a QoS proportional adjustment scheme was designed to make sure the problem feasible. Then, a successive geometric programming algorithm was proposed to obtain the optimal power solution. Finally, a sliding window based power allocation framework was presented for QoS constraint management. Numerical results show that the proposed power allocation scheme can effectively guarantee the users' QoS and significantly increase the system sum rate.

AB - In multiuser MIMO systems, due to the inter-user interference, the power allocation issue with the Regularized channel inversion (RCI) precoding becomes a nonconvex optimization problem. A QoS- aware power allocation scheme was proposed in order to satisfy the users' QoS requirements and maximize the system sum rate. The feasibility problem was analyzed and a QoS proportional adjustment scheme was designed to make sure the problem feasible. Then, a successive geometric programming algorithm was proposed to obtain the optimal power solution. Finally, a sliding window based power allocation framework was presented for QoS constraint management. Numerical results show that the proposed power allocation scheme can effectively guarantee the users' QoS and significantly increase the system sum rate.

KW - Convex optimization

KW - MU-MIMO

KW - Power allocation

KW - QoS guarantee

KW - RCI precoding

UR - http://www.scopus.com/inward/record.url?scp=84857671273&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84857671273

SN - 1004-731X

VL - 24

JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 2

ER -

Research on QoS-aware power allocation scheme in multi-user MIMO systems based on regularized channel inversion precoding

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