Coding and modulation for short packet transmission

Do Sik Yoo; Wayne E. Stark; Kar Peo Yar; Seong Jun Oh

doi:10.1109/TVT.2010.2041378

Coding and modulation for short packet transmission

Do Sik Yoo, Wayne E. Stark, Kar Peo Yar, Seong Jun Oh

School of Cybersecurity

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

17 Citations (Scopus)

Abstract

We study the tradeoff between energy and bandwidth efficiency for short packet-transmission systems for wireless sensor networks. Using random coding bound (RCB) analysis, we show that 16-ary and 32-ary orthogonal modulation schemes provide reasonable balance between energy and bandwidth efficiency. In addition, we compare various channel-coding schemes and conclude that convolutional codes are well suited for wireless sensor network applications having excellent performance and reasonable robustness to imperfections, such as estimation errors.

Original language	English
Article number	5398942
Pages (from-to)	2104-2109
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	59
Issue number	4
DOIs	https://doi.org/10.1109/TVT.2010.2041378
Publication status	Published - 2010 May

Keywords

Convolutional codes
Low duty cycle
Noncoherent demodulation
Orthogonal modulation
Sensor network
Short packet transmission
Turbo code

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TVT.2010.2041378

Cite this

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title = "Coding and modulation for short packet transmission",

abstract = "We study the tradeoff between energy and bandwidth efficiency for short packet-transmission systems for wireless sensor networks. Using random coding bound (RCB) analysis, we show that 16-ary and 32-ary orthogonal modulation schemes provide reasonable balance between energy and bandwidth efficiency. In addition, we compare various channel-coding schemes and conclude that convolutional codes are well suited for wireless sensor network applications having excellent performance and reasonable robustness to imperfections, such as estimation errors.",

keywords = "Convolutional codes, Low duty cycle, Noncoherent demodulation, Orthogonal modulation, Sensor network, Short packet transmission, Turbo code",

author = "Yoo, {Do Sik} and Stark, {Wayne E.} and Yar, {Kar Peo} and Oh, {Seong Jun}",

note = "Funding Information: Manuscript received March 14, 2009; revised October 8, 2009 and November 24, 2009. First published January 26, 2010; current version published May 14, 2010. The work of D.-S. Yoo was supported by the National Research Foundation of Korea under Grant 2009-0059803. The work of W. E. Stark was supported in part by the Air Force Office of Scientific Research under Grant FA9550-07-1-0456. The work of S.-J. Oh was supported by the Korean Government under the National Research Foundation of Korea under Grant 2009-0083989. The review of this paper was coordinated by Prof. J.-C. Lin.",

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doi = "10.1109/TVT.2010.2041378",

language = "English",

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journal = "IEEE Transactions on Vehicular Technology",

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AU - Stark, Wayne E.

AU - Yar, Kar Peo

AU - Oh, Seong Jun

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PY - 2010/5

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N2 - We study the tradeoff between energy and bandwidth efficiency for short packet-transmission systems for wireless sensor networks. Using random coding bound (RCB) analysis, we show that 16-ary and 32-ary orthogonal modulation schemes provide reasonable balance between energy and bandwidth efficiency. In addition, we compare various channel-coding schemes and conclude that convolutional codes are well suited for wireless sensor network applications having excellent performance and reasonable robustness to imperfections, such as estimation errors.

AB - We study the tradeoff between energy and bandwidth efficiency for short packet-transmission systems for wireless sensor networks. Using random coding bound (RCB) analysis, we show that 16-ary and 32-ary orthogonal modulation schemes provide reasonable balance between energy and bandwidth efficiency. In addition, we compare various channel-coding schemes and conclude that convolutional codes are well suited for wireless sensor network applications having excellent performance and reasonable robustness to imperfections, such as estimation errors.

KW - Convolutional codes

KW - Low duty cycle

KW - Noncoherent demodulation

KW - Orthogonal modulation

KW - Sensor network

KW - Short packet transmission

KW - Turbo code

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M1 - 5398942

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Coding and modulation for short packet transmission

Abstract

Keywords

ASJC Scopus subject areas

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