Optimization of ARQ protocols in interference networks with QoS constraints

Marco Levorato; Daniel O'Neill; Andrea Goldsmith; Urbashi Mitra

doi:10.1109/icc.2011.5963420

Optimization of ARQ protocols in interference networks with QoS constraints

Marco Levorato, Daniel O'Neill, Andrea Goldsmith, Urbashi Mitra

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

9 Scopus citations

Abstract

We study optimal transmission strategies in interfering wireless networks, under Quality of Service constraints. A buffered, dynamic network with multiple sources is considered, and sources use a retransmission strategy in order to improve packet delivery probability. The optimization problem is formulated as a Markov Decision Process, where constraints and objective functions are ratios of time-averaged cost functions. The optimal strategy is found as the solution of a Linear Fractional Program, where the optimization variables are the steady-state probability of state-action pairs. Numerical results illustrate the dependence of optimal transmission/interference strategies on the constraints imposed on the network.

Original language	English (US)
Title of host publication	2011 IEEE International Conference on Communications, ICC 2011
DOIs	https://doi.org/10.1109/icc.2011.5963420
State	Published - 2011
Externally published	Yes
Event	2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan Duration: Jun 5 2011 → Jun 9 2011

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Other

Other	2011 IEEE International Conference on Communications, ICC 2011
Country/Territory	Japan
City	Kyoto
Period	6/5/11 → 6/9/11

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/icc.2011.5963420

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@inproceedings{b6f2e2baabe44d4e9616addd7f6d473b,

title = "Optimization of ARQ protocols in interference networks with QoS constraints",

abstract = "We study optimal transmission strategies in interfering wireless networks, under Quality of Service constraints. A buffered, dynamic network with multiple sources is considered, and sources use a retransmission strategy in order to improve packet delivery probability. The optimization problem is formulated as a Markov Decision Process, where constraints and objective functions are ratios of time-averaged cost functions. The optimal strategy is found as the solution of a Linear Fractional Program, where the optimization variables are the steady-state probability of state-action pairs. Numerical results illustrate the dependence of optimal transmission/interference strategies on the constraints imposed on the network.",

author = "Marco Levorato and Daniel O'Neill and Andrea Goldsmith and Urbashi Mitra",

year = "2011",

doi = "10.1109/icc.2011.5963420",

language = "English (US)",

isbn = "9781612842332",

series = "IEEE International Conference on Communications",

booktitle = "2011 IEEE International Conference on Communications, ICC 2011",

note = "2011 IEEE International Conference on Communications, ICC 2011 ; Conference date: 05-06-2011 Through 09-06-2011",

}

Levorato, M, O'Neill, D, Goldsmith, A & Mitra, U 2011, Optimization of ARQ protocols in interference networks with QoS constraints. in 2011 IEEE International Conference on Communications, ICC 2011., 5963420, IEEE International Conference on Communications, 2011 IEEE International Conference on Communications, ICC 2011, Kyoto, Japan, 6/5/11. https://doi.org/10.1109/icc.2011.5963420

TY - GEN

T1 - Optimization of ARQ protocols in interference networks with QoS constraints

AU - Levorato, Marco

AU - O'Neill, Daniel

AU - Goldsmith, Andrea

AU - Mitra, Urbashi

PY - 2011

Y1 - 2011

N2 - We study optimal transmission strategies in interfering wireless networks, under Quality of Service constraints. A buffered, dynamic network with multiple sources is considered, and sources use a retransmission strategy in order to improve packet delivery probability. The optimization problem is formulated as a Markov Decision Process, where constraints and objective functions are ratios of time-averaged cost functions. The optimal strategy is found as the solution of a Linear Fractional Program, where the optimization variables are the steady-state probability of state-action pairs. Numerical results illustrate the dependence of optimal transmission/interference strategies on the constraints imposed on the network.

AB - We study optimal transmission strategies in interfering wireless networks, under Quality of Service constraints. A buffered, dynamic network with multiple sources is considered, and sources use a retransmission strategy in order to improve packet delivery probability. The optimization problem is formulated as a Markov Decision Process, where constraints and objective functions are ratios of time-averaged cost functions. The optimal strategy is found as the solution of a Linear Fractional Program, where the optimization variables are the steady-state probability of state-action pairs. Numerical results illustrate the dependence of optimal transmission/interference strategies on the constraints imposed on the network.

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U2 - 10.1109/icc.2011.5963420

DO - 10.1109/icc.2011.5963420

M3 - Conference contribution

AN - SCOPUS:80052157751

SN - 9781612842332

T3 - IEEE International Conference on Communications

BT - 2011 IEEE International Conference on Communications, ICC 2011

T2 - 2011 IEEE International Conference on Communications, ICC 2011

Y2 - 5 June 2011 through 9 June 2011

ER -

Optimization of ARQ protocols in interference networks with QoS constraints

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