System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems

Wei Han Hsiao; Jing Jing Su; Zhi Wen Tang; Jia Le Yin; Chia Chi Huang

doi:10.1109/5GWF.2018.8517004

System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems

Wei Han Hsiao, Jing Jing Su, Zhi Wen Tang, Jia Le Yin, Chia Chi Huang

National Yang Ming Chiao Tung University

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

Abstract

Several downlink power control (PC) algorithms are investigated in this paper for the fifth generation MDMA based cellular system. Among them, the closed-loop PC schemes are studied, which are useful to reduce the co-channel interference and increase the system capacity. Two kinds of iterative methods are commonly discussed. One is the SIR based approach, and the other is the eigenvalue based approach. Some representative PC algorithms are evaluated in terms of different performance metrics. In addition, an enhanced PC method is proposed which combines the advantages of the previous methods. It is shown by computer simulations that the proposed method achieves both desirable capacity performance and convergence rate in a 5G multipath division multiple access cellular system. Thus, the proposed method is a feasible downlink power control solution for 5G cellular systems.

Original language	English
Title of host publication	IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	497-501
Number of pages	5
ISBN (Electronic)	9781538649824
DOIs	https://doi.org/10.1109/5GWF.2018.8517004
State	Published - 31 10 2018
Externally published	Yes
Event	1st IEEE 5G World Forum, 5GWF 2018 - Santa Clara, United States Duration: 09 07 2018 → 11 07 2018

Publication series

Name	IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings

Conference

Conference	1st IEEE 5G World Forum, 5GWF 2018
Country/Territory	United States
City	Santa Clara
Period	09/07/18 → 11/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

5G communication
MDMA
closed-loop
downlink
power control

Access to Document

10.1109/5GWF.2018.8517004

Cite this

Hsiao, W. H., Su, J. J., Tang, Z. W., Yin, J. L., & Huang, C. C. (2018). System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings (pp. 497-501). Article 8517004 (IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/5GWF.2018.8517004

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abstract = "Several downlink power control (PC) algorithms are investigated in this paper for the fifth generation MDMA based cellular system. Among them, the closed-loop PC schemes are studied, which are useful to reduce the co-channel interference and increase the system capacity. Two kinds of iterative methods are commonly discussed. One is the SIR based approach, and the other is the eigenvalue based approach. Some representative PC algorithms are evaluated in terms of different performance metrics. In addition, an enhanced PC method is proposed which combines the advantages of the previous methods. It is shown by computer simulations that the proposed method achieves both desirable capacity performance and convergence rate in a 5G multipath division multiple access cellular system. Thus, the proposed method is a feasible downlink power control solution for 5G cellular systems.",

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author = "Hsiao, {Wei Han} and Su, {Jing Jing} and Tang, {Zhi Wen} and Yin, {Jia Le} and Huang, {Chia Chi}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st IEEE 5G World Forum, 5GWF 2018 ; Conference date: 09-07-2018 Through 11-07-2018",

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Hsiao, WH, Su, JJ, Tang, ZW, Yin, JL & Huang, CC 2018, System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems. in IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings., 8517004, IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 497-501, 1st IEEE 5G World Forum, 5GWF 2018, Santa Clara, United States, 09/07/18. https://doi.org/10.1109/5GWF.2018.8517004

System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems. / Hsiao, Wei Han; Su, Jing Jing; Tang, Zhi Wen et al.
IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 497-501 8517004 (IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings).

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

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PY - 2018/10/31

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AB - Several downlink power control (PC) algorithms are investigated in this paper for the fifth generation MDMA based cellular system. Among them, the closed-loop PC schemes are studied, which are useful to reduce the co-channel interference and increase the system capacity. Two kinds of iterative methods are commonly discussed. One is the SIR based approach, and the other is the eigenvalue based approach. Some representative PC algorithms are evaluated in terms of different performance metrics. In addition, an enhanced PC method is proposed which combines the advantages of the previous methods. It is shown by computer simulations that the proposed method achieves both desirable capacity performance and convergence rate in a 5G multipath division multiple access cellular system. Thus, the proposed method is a feasible downlink power control solution for 5G cellular systems.

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Hsiao WH, Su JJ, Tang ZW, Yin JL, Huang CC. System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 497-501. 8517004. (IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings). doi: 10.1109/5GWF.2018.8517004

System Capacity and Convergence Rate Evaluation for Downlink Power Control in 5G MDMA Cellular Systems

Abstract

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