Artificial Intelligence in Communication Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (29 February 2020)

Special Issue Editor


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Guest Editor
Dept. of Electrical & Computer Eng., National University of Singapore, Singapore, Singapore
Interests: cyber-security; Internet of Things; artificial intelligence and machine learning; wireless communications

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) has proven its worth in the last decade in solving complex and/or poorly structured problems in a diverse array of applications. Wireless communications has experienced extraordinary growth since the 1990’s, to the extent that it is almost taken for granted today. However, the application of AI in the design, analysis, and maintenance of wireless communications networks is still in its infancy, though in a rapid growth phase. Many papers have been written on the use of AI in both physical and network layers, but there has so far been few convincing arguments for the practical use of AI in wireless communications. In this Special Issue, we aim to explore the practical applications of AI within the lower layers of the protocol stack of wireless communications systems. Cross-layer designs will be of particular interest, and trade-offs between complexity and performance will be emphasized. Test-bedding and field-trial descriptions are especially welcome. Topics of interest include, but are not limited to, the following:

  • Non-linear effects in wireless transceiver design;
  • Wireless network resource allocation;
  • IoT and other specialized network design;
  • Localization of wireless devices;
  • Detection and prevention of cyber-security attacks at the wireless network edge;
  • Military communications;
  • AI techniques suitable for online training;
  • Systematic design and adaptation of AI parameters in a dynamic setting;
  • Novel practical applications of AI in wireless communications.

Prof. Teng Joon Lim
Guest Editor

Manuscript Submission Information

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Keywords

  • machine learning
  • artificial intelligence
  • cross-layer design
  • transceiver design
  • wireless networks
  • Internet of Things
  • military communications
  • cyber-security
  • edge and fog computing

Published Papers (1 paper)

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Research

14 pages, 563 KiB  
Article
Machine Learning-Based Relay Selection for Secure Transmission in Multi-Hop DF Relay Networks
by Tien-Tung Nguyen, Jong-Ho Lee, Minh-Tuan Nguyen and Yong-Hwa Kim
Electronics 2019, 8(9), 949; https://doi.org/10.3390/electronics8090949 - 28 Aug 2019
Cited by 12 | Viewed by 3695
Abstract
A relay selection method is proposed for physical-layer security in multi-hop decode-and-forward (DF) relaying systems. In the proposed method, cooperative relays are selected to maximize the achievable secrecy rates under DF-relaying constraints by the classification method. Artificial neural networks (ANNs), which are used [...] Read more.
A relay selection method is proposed for physical-layer security in multi-hop decode-and-forward (DF) relaying systems. In the proposed method, cooperative relays are selected to maximize the achievable secrecy rates under DF-relaying constraints by the classification method. Artificial neural networks (ANNs), which are used for machine learning, are applied to classify the set of cooperative relays based on the channel state information of all nodes. Simulation results show that the proposed method can achieve near-optimal performance for an exhaustive search method for all combinations of relay selection, while computation time are reduced significantly. Furthermore, the proposed method outperforms the best relay selection method, in which the best relay in terms of secrecy performance is selected among active ones. Full article
(This article belongs to the Special Issue Artificial Intelligence in Communication Systems)
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