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-US EAI Endorsed Transactions on Mobile Communications and Applications 2032-9504 <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> Distributed Joint Channel Assignment and Power Control for Sum Rate Maximization of D2D-Enabled Massive MIMO System https://publications.eai.eu/index.php/mca/article/view/2028 <p>Device-to-device (D2D) communications underlaid massive multiple-input multiple-output (MIMO) systems have been recognized as a promising candidate technology to achieve the challenging fifth-generation (5G) network requirements. This integration enhances network throughput, improves spectral efficiency, and offloads the traffic load of base stations. However, the co/cross-tier interferences between cellular and D2D communications caused by resource sharing is a significant challenge, especially when dense D2D users exist in an underlay mode. In this paper, we jointly optimize the channel assignment and power allocation to maximize the sum data rate while maintaining the interference constraints of cellular links. Due to the lack of network-wide information in large scale networks, resource management and interference coordination is hard to be implemented in a centralized way. Therefore, we propose a three-stage stable and distributed resource allocation and interference management scheme based on local information and requires little coordination and communication between devices. We model the channel allocation optimization problem in the first stage as a many-to-one matching game. In the second stage, the algorithm adopts a cost charging policy to solve each user’s power control problem as a non-cooperative game. In the third stage, the algorithm search for swap blocking pairs until stable matching exist. It is shown in this paper that the proposed algorithm converges to a stable matching and terminates after finite iterations. Simulation results show that the proposed algorithm can achieve more than 86% of the average transmission rate performance of the optimal matching with lower complexity.</p> Abi Abate Dejen Anna Förster Yihenew Wondie Copyright (c) 2022 EAI Endorsed Transactions on Mobile Communications and Applications https://creativecommons.org/licenses/by/3.0/ 2022-09-08 2022-09-08 7 3 e1 e1 10.4108/eetmca.v7i3.2028 Collaborative Relay Radio Network Using Reconfigurable Intelligent Surface https://publications.eai.eu/index.php/mca/article/view/2716 <p class="ICST-abstracttext"><span lang="EN-GB">In this paper, we have studied a model of a relay radio network system using Reconfigurable Intelligent Surface (RIS). Specifically, we used a relay network that uses RIS when there is an extra direct link from the Source (S) to the Destination (D). Next, an approximate closed-form expressions of the Outage Probability (OP) and Ergodic Capacity (EC) are considered. Based on the simulation results of OP and EC, the results show that our proposed system is more optimal than the system using supported RIS without direct link and the system without using RIS. In addition, changing the number of the RIS reflecting elements and the RIS’s location near (S) or (D) has a significant impact on the performance of the system. The analytical expression match the simulation results through the Monte Carlo simulation method. Furthermore, the simulation results of energy efficiency (EE) also show that when the target spectral efficiency (SE), Rth, is high (more than 5.45 b/s/Hz), the system using supported RIS with direct link will help reduce the transmit power and optimize the most energy compared to the other two systems.</span></p> Huu Q. Tran Nguyen Trong Duy Huynh Phan Hieu Nghia Copyright (c) 2022 EAI Endorsed Transactions on Mobile Communications and Applications https://creativecommons.org/licenses/by/3.0/ 2022-09-21 2022-09-21 7 3 e2 e2 10.4108/eetmca.v7i3.2716