Graphical generalization of power control in multiuser interference channels

Yifei Huang; Ali A. Nasir; Salman Durrani; Xiangyun Zhou

doi:10.1109/AusCTW.2016.7433663

Graphical generalization of power control in multiuser interference channels

Yifei Huang, Ali A. Nasir, Salman Durrani, Xiangyun Zhou

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

Abstract

In this paper, we present a graphical approach to the power control problem, and show how to find a near optimal solution to maximizing sum rate with individual power and user requirements by searching from the vertices of the power region. By leveraging our two previous results on the quasiconvexity and asymptotic nature of sum signal-to-interference-plus-noise ratio (SINR) and sum rate respectively, we determine an equivalency relationship between sum rate and sum SINR. As a related aside, we show that sum rate is indeed convex with respect to one varying power. Our conclusions are applicable to multiuser interference channels where resources are shared, and received powers vary by an order of magnitude or more, e.g., heterogeneous network whose transmitting powers span a magnitude of ranges.

Original language	English
Title of host publication	2016 Australian Communications Theory Workshop, AusCTW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	136-140
Number of pages	5
ISBN (Electronic)	9781509001330
DOIs	https://doi.org/10.1109/AusCTW.2016.7433663
Publication status	Published - 14 Mar 2016
Event	Australian Communications Theory Workshop, AusCTW 2016 - Melbourne, Australia Duration: 20 Jan 2016 → 23 Jan 2016

Publication series

Name	2016 Australian Communications Theory Workshop, AusCTW 2016

Conference

Conference	Australian Communications Theory Workshop, AusCTW 2016
Country/Territory	Australia
City	Melbourne
Period	20/01/16 → 23/01/16

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10.1109/AusCTW.2016.7433663

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Huang, Y., Nasir, A. A., Durrani, S., & Zhou, X. (2016). Graphical generalization of power control in multiuser interference channels. In 2016 Australian Communications Theory Workshop, AusCTW 2016 (pp. 136-140). Article 7433663 (2016 Australian Communications Theory Workshop, AusCTW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AusCTW.2016.7433663

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title = "Graphical generalization of power control in multiuser interference channels",

abstract = "In this paper, we present a graphical approach to the power control problem, and show how to find a near optimal solution to maximizing sum rate with individual power and user requirements by searching from the vertices of the power region. By leveraging our two previous results on the quasiconvexity and asymptotic nature of sum signal-to-interference-plus-noise ratio (SINR) and sum rate respectively, we determine an equivalency relationship between sum rate and sum SINR. As a related aside, we show that sum rate is indeed convex with respect to one varying power. Our conclusions are applicable to multiuser interference channels where resources are shared, and received powers vary by an order of magnitude or more, e.g., heterogeneous network whose transmitting powers span a magnitude of ranges.",

keywords = "Power control, heterogeneous networks, interference channel, sum rate optimization",

author = "Yifei Huang and Nasir, {Ali A.} and Salman Durrani and Xiangyun Zhou",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; Australian Communications Theory Workshop, AusCTW 2016 ; Conference date: 20-01-2016 Through 23-01-2016",

year = "2016",

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doi = "10.1109/AusCTW.2016.7433663",

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Huang, Y, Nasir, AA, Durrani, S & Zhou, X 2016, Graphical generalization of power control in multiuser interference channels. in 2016 Australian Communications Theory Workshop, AusCTW 2016., 7433663, 2016 Australian Communications Theory Workshop, AusCTW 2016, Institute of Electrical and Electronics Engineers Inc., pp. 136-140, Australian Communications Theory Workshop, AusCTW 2016, Melbourne, Australia, 20/01/16. https://doi.org/10.1109/AusCTW.2016.7433663

Graphical generalization of power control in multiuser interference channels. / Huang, Yifei; Nasir, Ali A.; Durrani, Salman et al.
2016 Australian Communications Theory Workshop, AusCTW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 136-140 7433663 (2016 Australian Communications Theory Workshop, AusCTW 2016).

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

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T1 - Graphical generalization of power control in multiuser interference channels

AU - Huang, Yifei

AU - Nasir, Ali A.

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N2 - In this paper, we present a graphical approach to the power control problem, and show how to find a near optimal solution to maximizing sum rate with individual power and user requirements by searching from the vertices of the power region. By leveraging our two previous results on the quasiconvexity and asymptotic nature of sum signal-to-interference-plus-noise ratio (SINR) and sum rate respectively, we determine an equivalency relationship between sum rate and sum SINR. As a related aside, we show that sum rate is indeed convex with respect to one varying power. Our conclusions are applicable to multiuser interference channels where resources are shared, and received powers vary by an order of magnitude or more, e.g., heterogeneous network whose transmitting powers span a magnitude of ranges.

AB - In this paper, we present a graphical approach to the power control problem, and show how to find a near optimal solution to maximizing sum rate with individual power and user requirements by searching from the vertices of the power region. By leveraging our two previous results on the quasiconvexity and asymptotic nature of sum signal-to-interference-plus-noise ratio (SINR) and sum rate respectively, we determine an equivalency relationship between sum rate and sum SINR. As a related aside, we show that sum rate is indeed convex with respect to one varying power. Our conclusions are applicable to multiuser interference channels where resources are shared, and received powers vary by an order of magnitude or more, e.g., heterogeneous network whose transmitting powers span a magnitude of ranges.

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BT - 2016 Australian Communications Theory Workshop, AusCTW 2016

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Graphical generalization of power control in multiuser interference channels

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