한국통신학회 KICS

Special Issue on Military Communications and Applications

As the information sharing and distribution is the key concept of network-centric warfare, military communications and networks must meet strict and evolving mission requirements. Moreover, stable and robust communication links satisfying such requirements should be provided over a dynamically changing battlefield environment. Along with various communication requirements needed for mission critical control, massive connectivity and scalable distributed access protocols and resource management techniques should be developed to realize the Internet of Battlefield Things (IoBT), which connect soldiers with smart technology in armor, radios, weapons, and other objects.

Recently developed artificial intelligence or machine learning technologies, core ingredients leading the fourth industrial revolution, will provide promising solutions for military communications and networks in order to handle fundamental challenges and requirements for the next generation military network or IoBT. Scale-free multiple access techniques or fog access and computing network structures, actively studied as a promising approach for 5G and beyond 5G cellular systems, might be also applicable.

This special issue aims at bringing this perspective to military communications and networks and focuses on the latest research, analysis, protocol design, and implementation for military applications. Potential topics include, but are not limited to:

l  Big data analysis for large-scale military networks

l  Cloud computing for large-scale military networks

l  Cognitive radio and cognitive networking

l  Dynamic spectrum allocation and management in tactical networks

l  Distributed multiple-access techniques for tactical applications

l  Prototypes and testbeds for IoBT platforms

l  Artificial intelligence and machine learning for military communications and networks

Keywords: Cloud computing, cognitive radio and network, Internet of Battle Things (IoBT), Multiple-access, Resource allocation, Big data, Machine-learning

Interested authors need to submit their papers (PDF format with MS word or Latex source to the ICT Express online submission site) according to the following schedule:

IMPORTANT DATES:

Paper submission deadline: December 31, 2019
Final notification: March 30, 2020
Publication date: June 30, 2020

GUEST EDITORS:

Sang-Woon Jeon, Hanyang University, Ansan, Republic of Korea, sangwoonjeon@hanyang.ac.kr
JeongGil Ko, Ajou University, Suwon, Republic of Korea, jgko@ajou.ac.kr
Seong Hi Chae, Korea Polytechnic University, Republic of Korea, shchae@kpu.ac.kr
Woohyuk Chang, Agency for Defense Development, Daejeon, Republic of Korea, whchang@live.com
Bang Chul Jung, Chungnam National University, Daejeon, Republic of Korea, bcjung@cnu.ac.kr

SUBMISSION GUIDELINES: 

Electronic submissions should be made through the Elsevier’s ICT Express website at http://www.journals.elsevier.com/ict-express. ICT Express is a high-quality quarterly archival journal published by KICS and hosted by Elsevier. ICT Express invites short length (up to 4 pages in double columns) high-quality, original articles. Papers published in the ICT Express are indexed in Scopus, Emerging Sources Citation Index (ESCI), Directory of Open Access Journals (DOAJ), and Science Direct. Learn more about this journal and click here for submission tips. Please, direct inquiries and correspondence regarding intent to submit to the Lead Guest Editor, Prof. Sang-Woon Jeon (sangwoonjeon@hanyang.ac.kr).