Distributed interference pricing with MISO channels

Changxin Shi; Randall A. Berry; Michael L. Honig

doi:10.1109/ALLERTON.2008.4797605

Distributed interference pricing with MISO channels

Changxin Shi^*, Randall A. Berry, Michael L. Honig

^*Corresponding author for this work

Electrical and Computer Engineering

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

32 Scopus citations

Abstract

We study a distributed algorithm for adapting transmit beamforming vectors in a multi-antenna peer-to-peer wireless network. The algorithm attempts to maximize a sum of per-user utility functions, where each user's utility is a function of his transmission rate, or equivalently the received signal-to-interference plus noise ratio (SINR). This is accomplished by exchanging interference prices, each of which represents the marginal cost of interference to a particular user. Given the interference prices, users update their beamforming vectors to maximize their utility minus the cost of interference. For a two-user system, we show that this algorithm converges for a suitable class of utility functions. Convergence of the algorithm with more than two users is illustrated numerically.

Original language	English (US)
Title of host publication	46th Annual Allerton Conference on Communication, Control, and Computing
Pages	539-546
Number of pages	8
DOIs	https://doi.org/10.1109/ALLERTON.2008.4797605
State	Published - 2008
Event	46th Annual Allerton Conference on Communication, Control, and Computing - Monticello, IL, United States Duration: Sep 24 2008 → Sep 26 2008

Publication series

Name	46th Annual Allerton Conference on Communication, Control, and Computing

Other

Other	46th Annual Allerton Conference on Communication, Control, and Computing
Country/Territory	United States
City	Monticello, IL
Period	9/24/08 → 9/26/08

ASJC Scopus subject areas

Computer Networks and Communications
Software
Control and Systems Engineering
Communication

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10.1109/ALLERTON.2008.4797605

Cite this

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title = "Distributed interference pricing with MISO channels",

abstract = "We study a distributed algorithm for adapting transmit beamforming vectors in a multi-antenna peer-to-peer wireless network. The algorithm attempts to maximize a sum of per-user utility functions, where each user's utility is a function of his transmission rate, or equivalently the received signal-to-interference plus noise ratio (SINR). This is accomplished by exchanging interference prices, each of which represents the marginal cost of interference to a particular user. Given the interference prices, users update their beamforming vectors to maximize their utility minus the cost of interference. For a two-user system, we show that this algorithm converges for a suitable class of utility functions. Convergence of the algorithm with more than two users is illustrated numerically.",

author = "Changxin Shi and Berry, {Randall A.} and Honig, {Michael L.}",

year = "2008",

doi = "10.1109/ALLERTON.2008.4797605",

language = "English (US)",

isbn = "9781424429264",

series = "46th Annual Allerton Conference on Communication, Control, and Computing",

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booktitle = "46th Annual Allerton Conference on Communication, Control, and Computing",

note = "46th Annual Allerton Conference on Communication, Control, and Computing ; Conference date: 24-09-2008 Through 26-09-2008",

}

Shi, C, Berry, RA & Honig, ML 2008, Distributed interference pricing with MISO channels. in 46th Annual Allerton Conference on Communication, Control, and Computing., 4797605, 46th Annual Allerton Conference on Communication, Control, and Computing, pp. 539-546, 46th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, United States, 9/24/08. https://doi.org/10.1109/ALLERTON.2008.4797605

Distributed interference pricing with MISO channels. / Shi, Changxin; Berry, Randall A.; Honig, Michael L.
46th Annual Allerton Conference on Communication, Control, and Computing. 2008. p. 539-546 4797605 (46th Annual Allerton Conference on Communication, Control, and Computing).

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

TY - GEN

T1 - Distributed interference pricing with MISO channels

AU - Shi, Changxin

AU - Berry, Randall A.

AU - Honig, Michael L.

PY - 2008

Y1 - 2008

N2 - We study a distributed algorithm for adapting transmit beamforming vectors in a multi-antenna peer-to-peer wireless network. The algorithm attempts to maximize a sum of per-user utility functions, where each user's utility is a function of his transmission rate, or equivalently the received signal-to-interference plus noise ratio (SINR). This is accomplished by exchanging interference prices, each of which represents the marginal cost of interference to a particular user. Given the interference prices, users update their beamforming vectors to maximize their utility minus the cost of interference. For a two-user system, we show that this algorithm converges for a suitable class of utility functions. Convergence of the algorithm with more than two users is illustrated numerically.

AB - We study a distributed algorithm for adapting transmit beamforming vectors in a multi-antenna peer-to-peer wireless network. The algorithm attempts to maximize a sum of per-user utility functions, where each user's utility is a function of his transmission rate, or equivalently the received signal-to-interference plus noise ratio (SINR). This is accomplished by exchanging interference prices, each of which represents the marginal cost of interference to a particular user. Given the interference prices, users update their beamforming vectors to maximize their utility minus the cost of interference. For a two-user system, we show that this algorithm converges for a suitable class of utility functions. Convergence of the algorithm with more than two users is illustrated numerically.

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BT - 46th Annual Allerton Conference on Communication, Control, and Computing

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Y2 - 24 September 2008 through 26 September 2008

ER -

Distributed interference pricing with MISO channels

Abstract

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