An optimal power allocation scheme for the STC Hybrid-ARQ over energy limited networks

Hongbo Liu; Leonid Razoumov; Narayan Mandayam; Predrag Spasojević

doi:10.1109/TWC.2009.12.080335

An optimal power allocation scheme for the STC Hybrid-ARQ over energy limited networks

Hongbo Liu, Leonid Razoumov, Narayan Mandayam, Predrag Spasojević

School of Engineering, Electrical & Computer Engineering

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

7 Scopus citations

Abstract

In this paper, we show that for STC (Space-Time Coded) Hybrid-ARQ (Automatic Repeat reQuest) schemes with (re)transmission power control over independent Rayleigh block fading channels, the problem of optimizing energy efficiency with a PER (Packet Error Rate) constraint can be solved as a geometric programming problem. The optimum transmit power increases super-linearly with each requested retransmission and the fraction of the average power optimally allocated to each ARQ round only depends on the incremental diversity gain. The energy savings increases with a decrease in the PER targets and decreases with an increase in the diversity gain.

Original language	English (US)
Article number	5351683
Pages (from-to)	5718-5722
Number of pages	5
Journal	IEEE Transactions on Wireless Communications
Volume	8
Issue number	12
DOIs	https://doi.org/10.1109/TWC.2009.12.080335
State	Published - Dec 2009

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Energy limited networks
Geometric programming
Hybrid ARQ
Space-time codes

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10.1109/TWC.2009.12.080335

Cite this

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title = "An optimal power allocation scheme for the STC Hybrid-ARQ over energy limited networks",

abstract = "In this paper, we show that for STC (Space-Time Coded) Hybrid-ARQ (Automatic Repeat reQuest) schemes with (re)transmission power control over independent Rayleigh block fading channels, the problem of optimizing energy efficiency with a PER (Packet Error Rate) constraint can be solved as a geometric programming problem. The optimum transmit power increases super-linearly with each requested retransmission and the fraction of the average power optimally allocated to each ARQ round only depends on the incremental diversity gain. The energy savings increases with a decrease in the PER targets and decreases with an increase in the diversity gain.",

keywords = "Energy limited networks, Geometric programming, Hybrid ARQ, Space-time codes",

author = "Hongbo Liu and Leonid Razoumov and Narayan Mandayam and Predrag Spasojevi{\'c}",

note = "Funding Information: Manuscript received March 8, 2008; revised October 24, 2008 and March 26, 2009; accepted June 2, 2009. The associate editor coordinating the review of this letter and approving it for publication was M. Torlak. H. Liu, N. Mandayam, and P. Spasojevi{\'c} are with WINLAB, Department of Electrical and Computer Engineering, Rutgers University, North Brunswick, NJ 08902 USA (e-mail: {hongbol, narayan, spasojev}@winlab.rutgers.edu). L. Razoumov is with AT&T Labs, 180 Park Ave, Florham Park, NJ 07932, USA (e-mail: leor@research.att.com). The material in this paper was presented in part at Conference on Information Sciences and Systems (CISS) 2004 and CISS 2005. This work was supported in part by the NSF under Grant No. FMF 0429724. Digital Object Identifier 10.1109/TWC.2009.12.080335",

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An optimal power allocation scheme for the STC Hybrid-ARQ over energy limited networks

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