NDLI: Design and implementation of reinforcement learning-based intelligent jamming system

Content Provider	IET Digital Library
Author	Zhang, Shuangyi Tian, Hua Chen, Xueqiang Du, Zhiyong Huang, Luying Gong, Yuping Xu, Yuhua
Abstract	Here the intelligent jammer issue is studied. With the rapid development of cognitive radio technology, current cognitive terminals can adaptively or intelligently switch channel by spectrum sensing and decision-making. Most of the traditional jamming methods, such as swept jamming and comb jamming, generally work in a relatively fixed pattern, which are not able to effectively jam the terminals empowered with cognition and spectrum decision-making capability. In view of this problem, the authors propose an intelligent jamming decision-making system based on reinforcement learning. First, in order to jam a pair of transmitter and receiver with adaptive frequency hopping capability, a jammer with spectrum sensing, offline training and learning scheme is proposed. Second, a reinforcement learning-based algorithm for jamming decision-making is proposed and simulated. A special feature of the proposed scheme is that considering the reward is difficult to obtain in the actual communication system, a virtual jamming decision-making method is used to enable the jammer to learn and jam efficiently without the user's prior information. Finally, the proposed jamming model and algorithm are implemented and verified on Universal software radio peripheral testbed.
Starting Page	3231
Ending Page	3238
Page Count	8
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 18, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0410
Journal	IET Communications
Publisher Date	2020-08-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Communication System Adaptive Frequency Hopping Capability Cognition Cognitive Radio Cognitive Radio Technology Comb Jamming Current Cognitive Terminals Decision Making Electromagnetic Compatibility Intelligent Jammer Issue Intelligent Jamming Decision-making System Interference Jamming Jamming Model Knowledge Engineering Technique Learning in AI Learning Scheme Offline Training Radio Link And Equipment Reinforcement Learning-based Algorithm Reinforcement Learning-based Intelligent Jamming System Relatively Fixed Pattern Software Radio Spectrum Decision-making Capability Spectrum Sensing Swept Jamming Traditional Jamming Method Virtual Jamming Decision-making Method
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

An Intelligent Anti-Jamming Scheme for Cognitive Radio Based on Deep Reinforcement Learning

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Performance analysis of one-step prediction-based cognitive jamming in jammer-radar countermeasure model

Anti-jamming in cognitive radio networks using reinforcement learning algorithms

A Transfer Games Actor–Critic Learning Framework for Anti-Jamming in Multi-Channel Cognitive Radio Networks

Survey on cognitive anti-jamming communications

Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement Learning

Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement Learning

Design and implementation of reinforcement learning-based intelligent jamming system

Similar Documents

On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

An Intelligent Anti-Jamming Scheme for Cognitive Radio Based on Deep Reinforcement Learning

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Performance analysis of one-step prediction-based cognitive jamming in jammer-radar countermeasure model

Anti-jamming in cognitive radio networks using reinforcement learning algorithms

A Transfer Games Actor–Critic Learning Framework for Anti-Jamming in Multi-Channel Cognitive Radio Networks

Survey on cognitive anti-jamming communications

Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement Learning

Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement Learning

Design and implementation of reinforcement learning-based intelligent jamming system