A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel

Liyuan Zhang; Meng Ma; Yongqiang Fei; Yiming Lei; Bingli Jiao

doi:10.1109/VTCFall.2018.8690956

A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel

Liyuan Zhang, Meng Ma, Yongqiang Fei, Yiming Lei, Bingli Jiao

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

1 Scopus citations

Abstract

In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.

Original language	English
Title of host publication	2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538663585
DOIs	https://doi.org/10.1109/VTCFall.2018.8690956
State	Published - 2 Jul 2018
Externally published	Yes
Event	88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States Duration: 27 Aug 2018 → 30 Aug 2018

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2018-August
ISSN (Print)	1550-2252

Conference

Conference	88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Country/Territory	United States
City	Chicago
Period	27/08/18 → 30/08/18

Keywords

Gaussian interference channel
cooperation power allocation
iterative algorithm
rate region
sum-rate maximization

Access to Document

10.1109/VTCFall.2018.8690956

Cite this

Zhang, L., Ma, M., Fei, Y., Lei, Y., & Jiao, B. (2018). A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel. In 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings Article 8690956 (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690956

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title = "A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel",

abstract = "In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.",

keywords = "Gaussian interference channel, cooperation power allocation, iterative algorithm, rate region, sum-rate maximization",

author = "Liyuan Zhang and Meng Ma and Yongqiang Fei and Yiming Lei and Bingli Jiao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 ; Conference date: 27-08-2018 Through 30-08-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/VTCFall.2018.8690956",

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Zhang, L, Ma, M, Fei, Y, Lei, Y & Jiao, B 2018, A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel. in 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings., 8690956, IEEE Vehicular Technology Conference, vol. 2018-August, Institute of Electrical and Electronics Engineers Inc., 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, United States, 27/08/18. https://doi.org/10.1109/VTCFall.2018.8690956

A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel. / Zhang, Liyuan; Ma, Meng; Fei, Yongqiang et al.
2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8690956 (IEEE Vehicular Technology Conference; Vol. 2018-August).

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

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AU - Zhang, Liyuan

AU - Ma, Meng

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PY - 2018/7/2

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N2 - In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.

AB - In this paper, a cooperative power control scheme is proposed for two-user Gaussian interference channel (GIC) to mitigate the interference and improve the sum-rate. In the proposed scheme, codewords are divided into several segments. By jointly adjusting the power of each segment for the two users, the proposed scheme achieves a balance between increasing the entropy of signal and decreasing the entropy of interference, and thus maximizes the sum-rate. To solve the sum-rate maximization problem, an iterative algorithm combining both simulated annealing and gradient descent methods is also proposed. Numerical results show that the proposed scheme not only achieves higher sum-rate, but also provides better user fairness compared with the traditional schemes.

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KW - cooperation power allocation

KW - iterative algorithm

KW - rate region

KW - sum-rate maximization

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A Cooperative Power Control Scheme for Two-User Gaussian Interference Channel

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