EAI Endorsed Transactions on Mobile Communications and Applications
https://publications.eai.eu/index.php/mca
<section class="meta-tabs"> <div class="content"> <div style="display: block;"> <div class="abstract"> <p class="blurb">EAI Endorsed Transactions on Mobile Communications and Applications is an open-access, a peer-reviewed scholarly journal focused on all aspects of mobile communications theories, technologies, systems, and applications. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.</p> </div> </div> </div> </section>European Alliance for Innovation (EAI)en-USEAI Endorsed Transactions on Mobile Communications and Applications2032-9504<p>This is an open-access article distributed under the terms of the Creative Commons Attribution <a href="https://creativecommons.org/licenses/by/3.0/" target="_blank" rel="noopener">CC BY 3.0</a> license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.</p>Intelligent Reflecting Surface Aided Secure Communication with Federated Learning
https://publications.eai.eu/index.php/mca/article/view/2900
<p>Applying federated learning into the covert communication can not only ensure the communication reliability, but also reduce the probability of enemy detection. The use of airspace resources is an effective way to achieve covert communication. However, most of the existing works on the airspace covert communication represented by MIMO need to adapt to the channel state and cannot improve the channel, resulting in the performance bottleneck of covert communication. The intelligent reflective surface (IRS) provides a new perspective for the covert communication by flexibly adjusting the reflection phase shift of the incident signal and intelligently configuring the wireless channel. However, the potential of IRS in the covert communication is far from being fully exploited. To solve this issue, this paper firstly performs a comprehensive literature review on the secure communication with the aid of federated learning, and then gives some challenges on the secure communication in poor channel state. In further, this paper provides some solutions to the challenges on the secure communication, where some results are provided to show the advantages. The research results have important theoretical and practical significance for forming a new research paradigm of airspace intelligent and controllable covert communication and promoting the application and popularization of covert communication in various fields of security.</p>Bowen LuShiwei LaiYajuan TangTao CuiChengyuan FanJianghong OuDahua Fan
Copyright (c) 2023 EAI Endorsed Transactions on Mobile Communications and Applications
https://creativecommons.org/licenses/by/3.0/
2023-03-232023-03-2374e2e210.4108/eetmca.v7i4.2900Intelligent Reflecting Surface Aided Cloud Access Networks with Federated Learning
https://publications.eai.eu/index.php/mca/article/view/2903
<p>Compared with traditional cellular network architecture, cloud access network has some significant advantages in spectrum utilization, energy consumption and network construction cost. However, a high-quality forward link is required between the baseband processing unit pool and remote radio head (RRH) in the cloud access network, which results in limited RRH deployment and affects user access link transmission and coverage. To solve this issue, this paper introduces the intelligent reflector technology into the cloud access network as a solution with low energy consumption, low cost and easy deployment to deal with the existing bottlenecks. Firstly, an efficient channel information acquisition strategy based on federated learning is designed for the smart reflector to enhance the user access link, so as to achieve a compromise between the channel estimation accuracy and cost. On this basis, a robust beamforming design and optimization method of the compression mechanism of the forward link are proposed for the smart reflector to enhance the user access link and the wireless forward link, so as to improve the system transmission performance. Finally, we explore the joint resource allocation method of intelligent reflector assisted cloud access network, and improve the system energy efficiency through the collaborative configuration of intelligent reflector and cloud access network communication resources. The research of this paper will provide an important theoretical basis for the application of intelligent reflectors in cloud access networks, especially for the federated learning.</p>Dahua FanJianghong OuBowen LuShiwei LaiYajuan TangTao CuiChengyuan Fan
Copyright (c) 2023 EAI Endorsed Transactions on Mobile Communications and Applications
https://creativecommons.org/licenses/by/3.0/
2023-01-172023-01-1774e1e110.4108/eetmca.v7i4.2903