Distributed Power Allocation for Femtocell Networks Subject to Macrocell SINR Balancing

In Sop Cho; Seung Jun Baek

doi:10.1109/LCOMM.2016.2602831

Distributed Power Allocation for Femtocell Networks Subject to Macrocell SINR Balancing

In Sop Cho, Seung Jun Baek

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

We consider the power allocation for the two-tier heterogeneous network where a macrocell (MC) coexists with multiple femtocells (FCs). Each FC aims to maximize the weighted sum-rate of its users subject to MC signal-to-inter-ference-plus-noise ratio (SINR) balancing, which means that a prescribed SINR is guaranteed to MC users. We formulate a noncooperative game which captures bidirectional cross-tier interference. We develop a fully decentralized algorithm, and derive a sufficient condition for its convergence to a unique equilibrium.

Original language	English
Pages (from-to)	2296-2299
Number of pages	4
Journal	IEEE Communications Letters
Volume	20
Issue number	11
DOIs	https://doi.org/10.1109/LCOMM.2016.2602831
Publication status	Published - 2016 Nov

Keywords

Femtocell networks
distributed algorithm
macrocell SINR balancing
power allocation

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2016.2602831

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title = "Distributed Power Allocation for Femtocell Networks Subject to Macrocell SINR Balancing",

abstract = "We consider the power allocation for the two-tier heterogeneous network where a macrocell (MC) coexists with multiple femtocells (FCs). Each FC aims to maximize the weighted sum-rate of its users subject to MC signal-to-inter-ference-plus-noise ratio (SINR) balancing, which means that a prescribed SINR is guaranteed to MC users. We formulate a noncooperative game which captures bidirectional cross-tier interference. We develop a fully decentralized algorithm, and derive a sufficient condition for its convergence to a unique equilibrium.",

keywords = "Femtocell networks, distributed algorithm, macrocell SINR balancing, power allocation",

author = "Cho, {In Sop} and Baek, {Seung Jun}",

note = "Funding Information: This work was supported in part by NRF grant by MSIP, Korea (NRF-2016R1A2B1014934), and in part by IITP grant by MSIP, No. B0126-16-1046. Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

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AU - Baek, Seung Jun

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N2 - We consider the power allocation for the two-tier heterogeneous network where a macrocell (MC) coexists with multiple femtocells (FCs). Each FC aims to maximize the weighted sum-rate of its users subject to MC signal-to-inter-ference-plus-noise ratio (SINR) balancing, which means that a prescribed SINR is guaranteed to MC users. We formulate a noncooperative game which captures bidirectional cross-tier interference. We develop a fully decentralized algorithm, and derive a sufficient condition for its convergence to a unique equilibrium.

AB - We consider the power allocation for the two-tier heterogeneous network where a macrocell (MC) coexists with multiple femtocells (FCs). Each FC aims to maximize the weighted sum-rate of its users subject to MC signal-to-inter-ference-plus-noise ratio (SINR) balancing, which means that a prescribed SINR is guaranteed to MC users. We formulate a noncooperative game which captures bidirectional cross-tier interference. We develop a fully decentralized algorithm, and derive a sufficient condition for its convergence to a unique equilibrium.

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KW - macrocell SINR balancing

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

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Distributed Power Allocation for Femtocell Networks Subject to Macrocell SINR Balancing

Abstract

Keywords

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