A CMDP-based approach for energy efficient power allocation in massive MIMO systems

Peng Li; Yanxiang Jiang; Wei Li; Fuchun Zheng; Xiaohu You

doi:10.1109/WCNC.2016.7564828

A CMDP-based approach for energy efficient power allocation in massive MIMO systems

Peng Li
, Yanxiang Jiang
, Wei Li
, Fuchun Zheng
, Xiaohu You

Southeast University, Nanjing
Xi'an Jiaotong University
University of Reading

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

10 Scopus citations

Abstract

In this paper, energy efficient power allocation for the uplink of a multi-cell massive MIMO system is investigated. With the simplified power consumption model, the problem of power allocation is formulated as a constrained Markov decision process (CMDP) framework with infinite-horizon expected discounted total reward, which takes into account different quality of service (QoS) requirements for each user terminal (UT). We propose an offline solution containing the value iteration and Q-learning algorithms, which can obtain the global optimum power allocation policy. Simulation results show that our proposed policy performs very close to the ergodic optimal policy.

Original language	English
Title of host publication	2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467398145
DOIs	https://doi.org/10.1109/WCNC.2016.7564828
State	Published - 2016
Externally published	Yes
Event	2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 - Doha, Qatar Duration: 3 Apr 2016 → 7 Apr 2016

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	0
ISSN (Electronic)	1558-2612

Conference

Conference	2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
Country/Territory	Qatar
City	Doha
Period	3/04/16 → 7/04/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

CMDP
Massive MIMO
energy efficiency
offline solution
power allocation

Access to Document

10.1109/WCNC.2016.7564828

Cite this

Li, P., Jiang, Y., Li, W., Zheng, F., & You, X. (2016). A CMDP-based approach for energy efficient power allocation in massive MIMO systems. In 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 Article 7564828 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2016.7564828

@inproceedings{314147f117c946078427b2b0d3ec37ae,

title = "A CMDP-based approach for energy efficient power allocation in massive MIMO systems",

abstract = "In this paper, energy efficient power allocation for the uplink of a multi-cell massive MIMO system is investigated. With the simplified power consumption model, the problem of power allocation is formulated as a constrained Markov decision process (CMDP) framework with infinite-horizon expected discounted total reward, which takes into account different quality of service (QoS) requirements for each user terminal (UT). We propose an offline solution containing the value iteration and Q-learning algorithms, which can obtain the global optimum power allocation policy. Simulation results show that our proposed policy performs very close to the ergodic optimal policy.",

keywords = "CMDP, Massive MIMO, energy efficiency, offline solution, power allocation",

author = "Peng Li and Yanxiang Jiang and Wei Li and Fuchun Zheng and Xiaohu You",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 ; Conference date: 03-04-2016 Through 07-04-2016",

year = "2016",

doi = "10.1109/WCNC.2016.7564828",

language = "英语",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE Wireless Communications and Networking Conference, WCNC 2016",

address = "美国",

}

Li, P, Jiang, Y, Li, W, Zheng, F & You, X 2016, A CMDP-based approach for energy efficient power allocation in massive MIMO systems. in 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016., 7564828, IEEE Wireless Communications and Networking Conference, WCNC, vol. 0, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016, Doha, Qatar, 3/04/16. https://doi.org/10.1109/WCNC.2016.7564828

A CMDP-based approach for energy efficient power allocation in massive MIMO systems. / Li, Peng; Jiang, Yanxiang; Li, Wei et al.
2016 IEEE Wireless Communications and Networking Conference, WCNC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7564828 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 0).

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

TY - GEN

T1 - A CMDP-based approach for energy efficient power allocation in massive MIMO systems

AU - Li, Peng

AU - Jiang, Yanxiang

AU - Li, Wei

AU - Zheng, Fuchun

AU - You, Xiaohu

PY - 2016

Y1 - 2016

N2 - In this paper, energy efficient power allocation for the uplink of a multi-cell massive MIMO system is investigated. With the simplified power consumption model, the problem of power allocation is formulated as a constrained Markov decision process (CMDP) framework with infinite-horizon expected discounted total reward, which takes into account different quality of service (QoS) requirements for each user terminal (UT). We propose an offline solution containing the value iteration and Q-learning algorithms, which can obtain the global optimum power allocation policy. Simulation results show that our proposed policy performs very close to the ergodic optimal policy.

AB - In this paper, energy efficient power allocation for the uplink of a multi-cell massive MIMO system is investigated. With the simplified power consumption model, the problem of power allocation is formulated as a constrained Markov decision process (CMDP) framework with infinite-horizon expected discounted total reward, which takes into account different quality of service (QoS) requirements for each user terminal (UT). We propose an offline solution containing the value iteration and Q-learning algorithms, which can obtain the global optimum power allocation policy. Simulation results show that our proposed policy performs very close to the ergodic optimal policy.

KW - CMDP

KW - Massive MIMO

KW - energy efficiency

KW - offline solution

KW - power allocation

UR - https://www.scopus.com/pages/publications/84989902007

U2 - 10.1109/WCNC.2016.7564828

DO - 10.1109/WCNC.2016.7564828

M3 - 会议稿件

AN - SCOPUS:84989902007

T3 - IEEE Wireless Communications and Networking Conference, WCNC

BT - 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016

Y2 - 3 April 2016 through 7 April 2016

ER -

A CMDP-based approach for energy efficient power allocation in massive MIMO systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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