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Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks

IEEE Access 2025年 13卷 79098-79106页

作者： Rodoshi, Rehenuma Tasnim Nazib, Rezoan Ahmed Chun, Chanjun Choi, Wooyeol George Mason University Department of Computer Science Fairfax61452 United States Chosun University Department of Computer Engineering Gwangju61452 Korea Republic of Chung-Ang University School of Computer Science and Engineering Seoul06974 Korea Republic of

The fifth generation (5G) mobile network is designed to facilitate high data rates with massive connectivity with the benefit of small cell technology. The cloud radio access network (C-RAN) is a promising mobile network architecture that can meet the ever-increasing resource demand of a growing number of users. In C-RAN, base station functionalities are separated into baseband units (BBUs) and remote radio heads (RRHs), with BBUs centralized and virtualized via cloud computing. However, this architecture introduces new challenges in efficiently allocating resources to dynamic users. This paper aims to design a resource allocation scheme that improves system efficiency and satisfies dynamic user demands in C-RAN. We propose a hybrid resource allocation approach that combines centralized control and multi-agent-based decision-making. The centralized controller, located within the BBU pool, collaborates with virtual base stations (VBSs) acting as multi-agent system (MAS) agents. The resource allocation solution is derived by jointly considering the real-time resource requests from agents and the historical demand estimates generated by the centralized controller. Through simulation-based evaluation, we compare our proposed scheme with conventional random and fixed resource allocation methods. The results demonstrate improved performance in terms of resource utilization, reduced unfulfilled demand, and fairness among VBS agents. The proposed combined resource allocation strategy effectively meets dynamic user requirements while maintaining system efficiency in C-RAN. Our work highlights the importance of integrating historical demand trends with real-time agent requests for improved long-term resource planning. © 2013 IEEE.

关键词： Radio access networks

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Overhead Reduction in Intelligent Reflecting Surface-aided Wireless Networks: A Review 39

Overhead Reduction in Intelligent Reflecting Surface-aided W...

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39th International Conference on Information Networking, ICOIN 2025

作者： Nguyen, The Vi Nguyen, Thi My Tuyen Lee, chunghyun Lee, Yunseong Tran, Anh Tien Cho, Sungrae Chung-Ang University Department of Computer Science Engineering Seoul Korea Republic of

ISBN: (纸本)9798331506940

Reconfigurable intelligent surfaces (RISs) have shown great promise in enhancing coverage, spectral, and energy efficiency in the future 6 G wireless networks. Because of the passive nature of the surface, there is no signal processing unit for channel state information acquisition. In addition, due to the limited computational capabilities at the RIS nodes, the optimized RIS phase shifts must be computed and fed back from the base station (BS) before the data transmission. Therefore, overhead occurred in the channel estimation and feeding back phases pose major challenges to realizing this technology. This paper provides an overview of recent advances in overhead reduction in RIS-aided networks. © 2025 IEEE.

关键词： Communication channels (information theory)

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Investigating Strategic Trends for Energy Efficiency in NOMA-UAV Networks 15

Investigating Strategic Trends for Energy Efficiency in NOMA...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Hong, Seonghun Paek, Jeongyeup Son, Yongseok Lee, Hyung Tae Kim, Hyosu Cho, Sungrae School of Computer Science and Engieneering Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9798350364637

This paper investigates strategies for achieving low latency and energy efficiency in UAV -based non-orthogonal multiple access (NOMA) networks, which are essential for supporting the growing number of IoT devices in modern communication systems, particularly in 5G and beyond. UAVs provide flexibility in infrastructure-limited environments, making them critical components in these networks. The paper reviews various techniques to enhance energy efficiency and analyzes the interaction between proposed algorithms and energy performance. Through simulations and theoretical analysis, the study demonstrates that strategic system design adjustments significantly improve both energy efficiency and network performance across diverse scenarios. The research highlights recent trends and validates the effectiveness of the proposed methods. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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A Review of Resource Reusing Paradigm in Serverless Computing System 39

A Review of Resource Reusing Paradigm in Serverless Computin...

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39th International Conference on Information Networking, ICOIN 2025

作者： Kim, Donghyeon Jo, Mingyu Kim, Dogyun Park, Sangoh Chung-Ang University Department of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798331506940

Serverless computing has emerged as a revolutionary paradigm in cloud computing, allowing developers to focus on code development without managing the underlying infrastructure. However, the cold start problem remains a significant challenge and can negate many of the benefits of serverless computing. This paper comprehensively reviews three different reuse techniques, namely container reuse, data caching, and function reuse, which are resource reuse paradigms in serverless computing systems, to mitigate the cold start problem and optimize performance. This review paper emphasizes the importance of resource reuse strategies in improving the efficiency and responsiveness of serverless applications, enabling wider adoption of serverless computing in more areas. © 2025 IEEE.

关键词： computer software reusability

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A Survey on Fairness Optimization Techniques in RSMA Networks 15

A Survey on Fairness Optimization Techniques in RSMA Network...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Hur, Donghyeon Paek, Jeongyeup Son, Yongseok Lee, Hyung Tae Kim, Hyosu Cho, Sungrae Chung-Ang University School of Computer Science and Engieneering Seoul Korea Republic of

ISBN: (纸本)9798350364637

Rate-Splitting Multiple Access (RSMA) is an important technology for next-generation networks, especially after 5G, due to its ability to handle imperfect channel state information (CSI). Unlike conventional orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA), RSMA provides greater flexibility by controlling power allocation between common and private data streams, leading to better performance in diverse wireless networks. The robustness of RSMA is particularly useful in challenging environments such as non-terrestrial networks where perfect CSI is difficult to achieve due to rapid channel changes. In such scenarios, RSMA effectively manages interference and maintains stable communication by splitting each user's data into common and private messages, encoding and transmitting them over multiple antennas. This allows each user to reliably decode the intended data even with imperfect CSI. In this paper, we present techniques that optimize user fairness in RSMA environments. © 2024 IEEE.

关键词： Channel state information

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An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

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Frontiers of computer science 2023年第4期17卷 83-96页

作者： Muazzam MAQSOOD Sadaf YASMIN Saira GILLANI Maryam BUKHARI Seungmin RHO Sang-Soo YEO Department of Computer Science COMSATS University IslamabadAttock CampusAttock 43600Pakistan Department of Computer Science Bahria UniversityLahore 54600Pakistan Department of Industrial Security Chung-Ang UniversitySeoul 06974Republic of Korea Department of Computer Engineering Mokwon UniversityDaejeon 35349Republic of Korea

Innovations on the Internet of Everything(IoE)enabled systems are driving a change in the settings where we interact in smart units,recognized globally as smart city ***,intelligent video-surveillance systems are critical to increasing the security of these smart *** precisely,in today’s world of smart video surveillance,person re-identification(Re-ID)has gained increased consideration by *** researchers have designed deep learningbased algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision *** this line of research,we designed an adaptive feature refinementbased deep learning architecture to conduct person *** the proposed architecture,the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel *** addition,the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature ***,the model’s effectiveness is validated on the CUHK01 and CUHK02 *** compared with existing approaches,the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%,respectively.

关键词： Internet of Everything(IoE) visual surveillance systems big data security systems person re-identification(Re-ID) deep learning

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Challenges of Serverless Computing Paradaigm 39

Challenges of Serverless Computing Paradaigm

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39th International Conference on Information Networking, ICOIN 2025

作者： Jo, Mingyu Kim, Donghyeon Baek, Ingyu Park, Sangoh Chung-Ang University School of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798331506940

Serverless computing is an innovative cloud computing paradigm that alleviates infrastructure management burdens for developers while offering cost-efficiency and scalability. However, cold start latency, which occurs during the initial execution of functions, and the difficulty in implementing complex business logic through workflows remain significant challenges. This paper reviews various approaches and recent research trends aimed at addressing these issues. Regarding the cold start problem, we analyze solutions such as function pre-warming, container reuse, and optimized runtime environments. We also examine orchestration tools and frameworks for workflow management. Furthermore, we propose future research directions, including intelligent optimization using machine learning, novel programming models, and integration with edge computing. © 2025 IEEE.

关键词： Workflow management

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Handover QG: Question Generation by Decoder Fusion and Reinforcement Learning

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IEEE/ACM Transactions on Audio Speech and Language Processing 2024年 32卷 3644-3655页

作者： chung, Ho-Lam Chan, Ying-Hong Fan, Yao-chung The Department of Computer Science Engineering National Chung Hsing University Taichung402 Taiwan

—In recent years, Question Generation (QG) has gained significant attention as a research topic, particularly in the context of its potential to support automatic reading comprehension assessment preparation. However, current QG models are mostly trained on factoid-type datasets, which tend to produce questions that are too simple for assessing advanced abilities. One promising alternative is to train QG models on exam-type datasets, which contain questions that require content reasoning. Unfortunately, there is a shortage of such training data compared to factoid-type questions. To address this issue and improve the quality of QG for generating advanced questions, we propose the Handover QG framework. This framework involves the joint training of exam-type QG and factoid-type QG, and controls the question generation process by interleavingly using the exam-type QG decoder and the factoid-type QG decoder. Furthermore, we employ reinforcement learning to enhance QG performance. Our experimental evaluation shows that our model significantly outperforms the compared baselines, with a BLEU-4 score increase from 5.31 to 6.48. Human evaluation also confirms that the questions generated by our model are answerable and appropriately difficult. Overall, the Handover QG framework offers a promising solution for improving QG performance in generating advanced questions for reading comprehension assessment. © 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Reinforcement learning

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Performance Analysis of Knowledge Tracing Models with Mixed Precision: A Comparative Study on Server and Raspberry Pi Environments 39

Performance Analysis of Knowledge Tracing Models with Mixed ...

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39th International Conference on Information Networking, ICOIN 2025

作者： Park, Junhyeong Zou, Chengxing Kim, Inseo Park, Myung Gyu Kim, Jinsung Chung-Ang University School of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798331506940

With the recent advancements in artificial intelligence (AI) and the improved performance of mobile devices, Knowledge Tracing (KT) models have gained significant attention in the education area, where they play a crucial role in tracking students' learning progress and providing personalized learning experiences. This study aims to compare the performance of KT models on a Raspberry Pi and a GPU server while examining the feasibility of model light-weighting using the Mixed Precision technique in low-power environments. Specifically, we performed fine-tuning and inference of pretrained models on both low-power devices and high-performance servers. The experimental results showed minimal performance differences in terms of AUC between the two environments, while accuracy (ACC) varied across models. Additionally, Attention-based models experienced significantly longer inference times when AMP was applied on low-power devices, indicating that complex computations require more resources on such devices. Based on these findings, applying AMP to the DKT+ model was identified as the most suitable option for low-power environments. © 2025 IEEE.

关键词： Students

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A Cu-Pd alloy catalyst with partial phase separation for the electrochemical CO_(2) reduction reaction

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Journal of Energy Chemistry 2024年第6期93卷 8-15,I0001页

作者： Gyeong Ho Han Jung Yong Seo Minji Kang Myung-gi Seo Youngheon Choi Soo Young Kim Sang Hyun Ahn School of Chemical Engineering and Material Science Chung-Ang UniversitySeoul 06974Republic of Korea Lotte Chemical Institute of Technology Daejeon 34110Republic of Korea Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea

Cu catalysts can convert CO_(2) through an electrochemical reduction reaction into a variety of useful carbon-based ***,this capability provides an obstacle to increasing the selectivity for a single ***,we report a simple fabrication method for a Cu-Pd alloy catalyst for use in a membrane electrode assembly(MEA)-based CO_(2) electrolyzer for the electrochemical CO_(2) reduction reaction(ECRR)with high selectivity for CO *** the composition of the Cu-Pd alloy catalyst was fabricated at 6:4,the selectivity for CO increased and the production of multi-carbon compounds and hydrogen is *** a Cu-Pd alloy catalyst with 6:4 ratio as the cathode of the MEAbased CO_(2) electrolyzer showed a CO faradaic efficiency of 92.8%at 2.4 V_(cell).We assumed that these results contributed from the crystal planes on the surface of the Cu-Pd *** phases of the Cu-Pd alloy catalyst were partially separated through annealing to fabricate a catalyst with high selectivity for CO at low voltage and C_(2)H_4 at high *** results of CO-stripping testing confirmed that when Cu partially separates from the lattice of the Cu-Pd alloy,the desorption of~*CO is suppressed,suggesting that C-C coupling reaction is favored.

关键词： Cu-Pd catalyst Electrodeposition Electrochemical carbon dioxide reduction Partial phase separation Membrane electrode assembly-based electrolyzer

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