Journal of Communications and Networks最新文献

{"title":"Entanglement routing with guaranteed fidelity for drone-based quantum networks","authors":"Haoran Hu;Huazhi Lun;Ya Wang;Zhifeng Deng;Jiahao Li;Jie Tang;Yuexiang Cao;Ying Liu;Dan Wu;Huicun Yu;Xingyu Wang;Jiahua Wei;Lei Shi","doi":"10.23919/JCN.2025.000046","DOIUrl":"https://doi.org/10.23919/JCN.2025.000046","url":null,"abstract":"The quantum Internet is profoundly impacting the world and is expected to be operational in the future. With the global wide-area quantum networks begin to take shape, drone-based quantum entanglement networks have attracted widespread attention. Compared to quantum links based on optical fibers or satellites, drone-based quantum entanglement networks can effectively address the need for responsive and on-demand quantum network coverage across diverse locations and operational times. To realize network construction, entanglement routing protocols pose a significant challenge. On the one hand, the fidelity of the entangled system degrades hop-byhop. On the other hand, the dynamics and limited energy of drone nodes are equally not negligible. However, existing works have not adequately addressed these issues. In this paper, we present a novel fidelity-guaranteed entanglement routing protocol for drone-based quantum networks (FGER_D). The FGER_D considers the node energy and quantum link vulnerability comprehensively, selects end-to-end fidelity as the routing metric, and employs multiple attempts' entanglement purification scheme to provide fidelity-guaranteed entanglement connections in noisy environments. Numerical simulations demonstrate that compared to existing algorithms, FGER_D improves network throughput by approximately 24% under default settings, while also ensuring network fidelity and extending network lifetime. Our work is expected to provide a theoretical basis for the deployment of drone-based entanglement distribution networks.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"241-251"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information for authors","authors":"","doi":"10.23919/JCN.2025.000066","DOIUrl":"https://doi.org/10.23919/JCN.2025.000066","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"274-278"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142606","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solving optimal electric vehicle charging station placement problem using digital quantum annealing","authors":"Chia-Ho Ou;Chung-Chieh Cheng;Chih-Yu Chen;Krischonme Bhumkittipich;Sillawat Romphochai","doi":"10.23919/JCN.2025.000048","DOIUrl":"https://doi.org/10.23919/JCN.2025.000048","url":null,"abstract":"It is imperative to reduce carbon dioxide emissions and fossil fuel consumption to ensure the Earth's sustainable future and mitigate negative impacts like extreme climate changes caused by greenhouse gases. Electric vehicles (EVs) play a pivotal role in this context, where the convenience of charging stations is crucial in influencing consumer choices. This paper formulates the placement of charging stations as an optimization problem, considering factors like station density, accessibility, coverage, and regional cost variations, to minimize total construction costs. The problem is mapped onto a quadratic unconstrained binary optimization (QUBO) model. The QUBO can efficiently represent and solve complex combinatorial optimization problems, making it suitable for quantum and advanced classical algorithms. Utilizing digital quantum annealing, the optimal or near-optimal solutions are efficiently identified. The performance of the proposed approach is compared with classical algorithms, including mixed linear programming and simulated annealing, demonstrating significant advancements of digital annealing.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"252-263"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142623","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"QNN framework based multiclass classification for downlink NOMA detectors","authors":"Hye Yeong Lee;Man Hee Lee;Soo Young Shin","doi":"10.23919/JCN.2025.000045","DOIUrl":"https://doi.org/10.23919/JCN.2025.000045","url":null,"abstract":"Quantum neural networks (QNNs) have attracted significant attention recently, primarily because of their potential to address complex problems deemed difficult for traditional computational methods. This study explores the viability of QNN in handling multiclass classification tasks in downlink nonorthogonal multiple access (NOMA) frameworks. The investigation includes a design of QNN framework and performance evaluation of a QNN-based NOMA detector, integrating maximum likelihood (ML), successive interference cancellation (SIC), and rotated ML (RML) methods. A QNN framework was configured for all three detectors, and a comparative analysis was conducted in terms of loss, accuracy, and testing across varied signal-to-noise ratio (SNR) levels and power allocation coefficients, considering NOMA-specific characteristics. Furthermore, the computational complexity of each detector was analyzed within the proposed framework.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"231-240"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142625","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open access publishing agreement","authors":"","doi":"10.23919/JCN.2025.000067","DOIUrl":"https://doi.org/10.23919/JCN.2025.000067","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"279-281"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stabilized classification control using multi-stage quantum convolutional neural networks for autonomous driving","authors":"Emily Jimin Roh;Soohyun Park;Soyi Jung;Joongheon Kim","doi":"10.23919/JCN.2025.000021","DOIUrl":"https://doi.org/10.23919/JCN.2025.000021","url":null,"abstract":"Real-time processing with high classification accuracy is a fundamental requirement in autonomous driving systems. However, existing neural network models for classification often face a tradeoff between computational efficiency and accuracy, necessitating the development of advanced optimization methods to address this limitation. Additionally, dynamic driving environments offer opportunities to enhance classification performance by leveraging the principles of quantum computing, particularly the properties of superposition and entanglement. In response to these challenges, a multi-stage quantum convolutional neural network (MS-QCNN) approach is proposed, designed to improve image analysis performance by effectively utilizing the multi-stage structure of QCNN. A Lyapunov optimization framework is applied to achieve optimal performance, which maximizes time-averaged efficiency while ensuring system stability. This framework dynamically adjusts the MS-QCNN model in response to environmental variations, promoting enhanced queue stability and achieving optimal time-averaged performance.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"264-272"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142618","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phase matching in Grover-QAOA for solving 3-SAT problems","authors":"Youngjin Seo;Jun Heo","doi":"10.23919/JCN.2025.000038","DOIUrl":"https://doi.org/10.23919/JCN.2025.000038","url":null,"abstract":"The Quantum Approximate Optimization Algorithm (QAOA) is a promising framework for combinatorial optimization, yet its performance is often hindered by the complexity of parameter optimization. In this work, we investigate phase relationships in Grover-QAOA (G-QAOA) for solving 3-SAT problems and introduce a novel phase matching condition that simplifies the optimization landscape. By aligning the phases of the problem and mixing Hamiltonians, our approach reduces the number of variational parameters from 2p to p, significantly lowering computational overhead. We further propose single-angle G-QAOA, an extension that enables additional parameter reduction. Numerical simulations demonstrate that our method achieves success probabilities comparable to those of standard G-QAOA while requiring fewer quantum circuit evaluations. These results highlight the potential of our proposed G-QAOA for practical implementation on near-term quantum hardware.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"222-230"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special issue on quantum technologies for communication systems","authors":"Soo Young Shin;Zhu Han;Shaukat Ali;Samuel Yen-Chi Chen;Yuanwei Liu;Soohyun Park;Joongheon Kim","doi":"10.23919/JCN.2025.000064","DOIUrl":"https://doi.org/10.23919/JCN.2025.000064","url":null,"abstract":"Quantum technologies hold the potential to revolutionize classical technologies and their emerging applications in communication networks and mobility. This potential is expected to grow alongside the advancement of quantum computation-capable devices. Currently, quantum devices are at the noisy intermediate-scale quantum (NISQ) level and can support only a few hundred physical qubits. While these devices remain constrained in scale, early fault-tolerant quantum hardware is capable of demonstrating the quantum advantage, the ability to outperform classical counterparts in specific computational tasks. This capability is essential for enhancing coordination of autonomous and distributed systems, such as low Earth orbit (LEO) satellites, autonomous driving vehicles, and complex infrastructure required by the hyper-connected 6G communication networks. Especially in artificial intelligence (AI) research domains, parameterized quantum circuits used in quantum algorithms, quantum optimization, and quantum machine learning (QML), can implement various functionalities of classical neural network architectures with significantly fewer parameters and computation resources. This can substantially reduce the latency and memory constraints of current large-scale classical neural network frameworks, including diffusion-based generative computer vision algorithms and large language models. According to the current roadmaps for quantum computer development, the number of qubits is expected to greatly increase, and the beyond-NISQ era is set to emerge approximately by 2026. This highlights the need for early contributions to explore the potential impact of quantum algorithms and QML on emerging communication system design and future applications. Towards unleashing the full potential of quantum algorithms and QML, this special issue focuses on quantum algorithms and QML principles, algorithms, and use cases to seek original contributions to various aspects of QML-based system architectures, protocols, resource management, error correction, and other technologies in communication systems. Furthermore, there is also an increasing interest in applying classical AI techniques for solving problems within quantum computing and computation, such as in quantum software engineering, quantum circuit design, and optimizing quantum optimization algorithms. Despite significant interest in this field from both academia and industry, many important questions remain. This special issue of JCN presents five high-quality papers which are categorized under (i) theory, (ii) communications and networks, and (iii) applications. In the following, we will introduce the topic section categories and corresponding papers included in this Special Issue.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 4","pages":"217-221"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142609","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An energy-density-based trajectory planning method for wireless sensor networks with mobile collectors","authors":"Hongmei Wang;Heejung Byun","doi":"10.23919/JCN.2025.000022","DOIUrl":"https://doi.org/10.23919/JCN.2025.000022","url":null,"abstract":"Mobile collectors (MCs), such as unmanned aerial vehicles (UAVs), play a crucial role in conserving energy and enhancing the longevity of wireless sensor networks (WSNs) compared to static sinks. The implementation of efficient routing algorithms and scheduling mechanisms tailored for MCs is of utmost importance. In response to this challenge, we propose an innovative data collection method called energy- density-based trajectory planning (EDTP) specifically designed for WSNs equipped with MCs. First, we introduce a global energy-difference density optimization scheme (GEDD) to select cluster heads (CHs) responsible for transmitting data to MCs. The selection of CHs aims to balance the energy consumption of nodes, thereby extending the system's lifespan. Second, we propose the K-dimension tree grouping algorithm (KDTG) with high computational efficiency to group CHs based on their geographical similarity. Comparisons with three existing approaches demonstrate that our proposed EDTP method can significantly increase system lifetime and reduce latency.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"190-199"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint offloading and resource allocation based on Lyapunov algorithm in delay-sensitive SAGIN","authors":"Jingjing Du;Lei Xiong;Dan Fei;Liang Shen;Xiangbing Tan","doi":"10.23919/JCN.2025.000033","DOIUrl":"https://doi.org/10.23919/JCN.2025.000033","url":null,"abstract":"The integration of mobile edge computing (MEC) and space-air-ground integrated network (SAGIN) can significantly reduce the user's task processing delay, while relieving the data pressure on the core network, so as to meet the performance requirements of computation capability, throughput, and delay brought about by the massive connectivity of SAGIN, which is an important direction for current research on 6G networks. In this study, we focus on optimizing user delay and usage costs within the SAGIN framework, which comprises low Earth orbit (LEO) satellites, high altitude balloons (HAB), and ground users. Specifically, ground users adopt a partial offloading strategy, wherein computational tasks are offloaded via HABs to MEC servers hosted by LEO satellites for processing. To accommodate the highly dynamic nature of the satellite constellation, we formulate an optimization problem aimed at maximizing the long-term time-averaged latency while minimizing costs, and introduce the Lyapunov optimization method to solve it. The simulation results demonstrate that our proposed algorithm can effectively reduce the network latency and user's usage cost, while ensuring system stability.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"166-178"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106372","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}