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 journalArticlepeer-review

4 Citations (Scopus)


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 languageEnglish
Pages (from-to)2498-2502
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number11
Publication statusPublished - 2017 Nov
Externally publishedYes

Bibliographical 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: (Corresponding author) DOI: 10.1587/transfun.E100.A.2498

Publisher Copyright:
Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.


  • 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


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