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 |
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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 | |
Publication status | Published - 2017 Nov |
Externally published | Yes |
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: 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.
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