Energy-efficient resource allocation strategy for low probability of intercept and anti-jamming systems

Yu Min Hwang; Jun Hee Jung; Kwang Yul Kim; Yong Sin Kim; Jae Seang Lee; Yoan Shin; Jin Young Kim

doi:10.1587/transfun.E100.A.2498

Energy-efficient resource allocation strategy for low probability of intercept and anti-jamming systems

Yu Min Hwang, Jun Hee Jung, Kwang Yul Kim, Yong Sin Kim, Jae Seang Lee, Yoan Shin, Jin Young Kim

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

4 Citations (Scopus)

Abstract

The aim of this letter is to guarantee the ability of low probability of intercept (LPI) and anti-jamming (AJ) by maximizing the energy efficiency (EE) to improve wireless communication survivability and sustain wireless communication in jamming environments. We studied a scenario based on one transceiver pair with a partial-band noise jammer in a Rician fading channel and proposed an EE optimization algorithm to solve the optimization problem. With the proposed EE optimization algorithm, the LPI and AJ can be simultaneously guaranteed while satisfying the constraint of the maximum signal-to-jamming-and-noise ratio and combinatorial subchannel allocation condition, respectively. The results of the simulation indicate that the proposed algorithm is more energy-efficient than those of the baseline schemes and guarantees the LPI and AJ performance in a jamming environment.

Original language	English
Pages (from-to)	2498-2502
Number of pages	5
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E100A
Issue number	11
DOIs	https://doi.org/10.1587/transfun.E100.A.2498
Publication status	Published - 2017 Nov
Externally published	Yes

Keywords

Anti-jamming
Energy efficiency
Low probability of intercept
Optimization
Resource allocation

ASJC Scopus subject areas

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1587/transfun.E100.A.2498

Cite this

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title = "Energy-efficient resource allocation strategy for low probability of intercept and anti-jamming systems",

abstract = "The aim of this letter is to guarantee the ability of low probability of intercept (LPI) and anti-jamming (AJ) by maximizing the energy efficiency (EE) to improve wireless communication survivability and sustain wireless communication in jamming environments. We studied a scenario based on one transceiver pair with a partial-band noise jammer in a Rician fading channel and proposed an EE optimization algorithm to solve the optimization problem. With the proposed EE optimization algorithm, the LPI and AJ can be simultaneously guaranteed while satisfying the constraint of the maximum signal-to-jamming-and-noise ratio and combinatorial subchannel allocation condition, respectively. The results of the simulation indicate that the proposed algorithm is more energy-efficient than those of the baseline schemes and guarantees the LPI and AJ performance in a jamming environment.",

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author = "Hwang, {Yu Min} and Jung, {Jun Hee} and Kim, {Kwang Yul} and Kim, {Yong Sin} and Lee, {Jae Seang} and Yoan Shin and Kim, {Jin Young}",

note = "Funding Information: Manuscript received May 16, 2017. Manuscript revised June 21, 2017. †The authors are with Kwangwoon University, Seoul 01897, Republic of Korea. ††The authors are with Soongsil University, Seoul 06978, Republic of Korea. †††The authors are with Agency for Defense Development, Dae-Jeon 305-600, Republic of Korea. ∗This work was, in part, supported by the core technology R&D project of the Agency for Defense Development, Korea (UD140076ED) and in part by Kwangwoon University in 2016. a) E-mail: jinyoung@kw.ac.kr (Corresponding author) DOI: 10.1587/transfun.E100.A.2498 Publisher Copyright: Copyright {\textcopyright} 2017 The Institute of Electronics, Information and Communication Engineers.",

year = "2017",

month = nov,

doi = "10.1587/transfun.E100.A.2498",

language = "English",

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T1 - Energy-efficient resource allocation strategy for low probability of intercept and anti-jamming systems

AU - Hwang, Yu Min

AU - Jung, Jun Hee

AU - Kim, Kwang Yul

AU - Kim, Yong Sin

AU - Lee, Jae Seang

AU - Shin, Yoan

AU - Kim, Jin Young

N1 - Funding Information: Manuscript received May 16, 2017. Manuscript revised June 21, 2017. †The authors are with Kwangwoon University, Seoul 01897, Republic of Korea. ††The authors are with Soongsil University, Seoul 06978, Republic of Korea. †††The authors are with Agency for Defense Development, Dae-Jeon 305-600, Republic of Korea. ∗This work was, in part, supported by the core technology R&D project of the Agency for Defense Development, Korea (UD140076ED) and in part by Kwangwoon University in 2016. a) E-mail: jinyoung@kw.ac.kr (Corresponding author) DOI: 10.1587/transfun.E100.A.2498 Publisher Copyright: Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.

PY - 2017/11

Y1 - 2017/11

N2 - The aim of this letter is to guarantee the ability of low probability of intercept (LPI) and anti-jamming (AJ) by maximizing the energy efficiency (EE) to improve wireless communication survivability and sustain wireless communication in jamming environments. We studied a scenario based on one transceiver pair with a partial-band noise jammer in a Rician fading channel and proposed an EE optimization algorithm to solve the optimization problem. With the proposed EE optimization algorithm, the LPI and AJ can be simultaneously guaranteed while satisfying the constraint of the maximum signal-to-jamming-and-noise ratio and combinatorial subchannel allocation condition, respectively. The results of the simulation indicate that the proposed algorithm is more energy-efficient than those of the baseline schemes and guarantees the LPI and AJ performance in a jamming environment.

AB - The aim of this letter is to guarantee the ability of low probability of intercept (LPI) and anti-jamming (AJ) by maximizing the energy efficiency (EE) to improve wireless communication survivability and sustain wireless communication in jamming environments. We studied a scenario based on one transceiver pair with a partial-band noise jammer in a Rician fading channel and proposed an EE optimization algorithm to solve the optimization problem. With the proposed EE optimization algorithm, the LPI and AJ can be simultaneously guaranteed while satisfying the constraint of the maximum signal-to-jamming-and-noise ratio and combinatorial subchannel allocation condition, respectively. The results of the simulation indicate that the proposed algorithm is more energy-efficient than those of the baseline schemes and guarantees the LPI and AJ performance in a jamming environment.

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KW - Energy efficiency

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Energy-efficient resource allocation strategy for low probability of intercept and anti-jamming systems

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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