Pub Date : 2025-08-26DOI: 10.23919/JCN.2025.000064
Soo Young Shin;Zhu Han;Shaukat Ali;Samuel Yen-Chi Chen;Yuanwei Liu;Soohyun Park;Joongheon Kim
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.
{"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}
Pub Date : 2025-08-26DOI: 10.23919/JCN.2025.000049
Yerin Yeo;Junghyun Kim;Jihyung Kim;Junhwan Lee
This paper explores techniques for beam prediction using multi-modal sensing data. Specifically, our aim is to develop a deep learning model that predicts the optimal beam using information collected from camera, LiDAR, radar, and GPS sensors. For this purpose, we propose ResNet-SE, which integrates a squeeze-and-excitation network with ResNet, and PIformer, a transformer-based model we design using pooling layers and inception mixer modules. Experimental results demonstrate a 22% improvement in prediction accuracy and a 38% reduction in training time compared to the state-of-the-art model.
{"title":"Multi-modal sensing-assisted beam prediction using real-world dataset","authors":"Yerin Yeo;Junghyun Kim;Jihyung Kim;Junhwan Lee","doi":"10.23919/JCN.2025.000049","DOIUrl":"https://doi.org/10.23919/JCN.2025.000049","url":null,"abstract":"This paper explores techniques for beam prediction using multi-modal sensing data. Specifically, our aim is to develop a deep learning model that predicts the optimal beam using information collected from camera, LiDAR, radar, and GPS sensors. For this purpose, we propose ResNet-SE, which integrates a squeeze-and-excitation network with ResNet, and PIformer, a transformer-based model we design using pooling layers and inception mixer modules. Experimental results demonstrate a 22% improvement in prediction accuracy and a 38% reduction in training time compared to the state-of-the-art model.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 5","pages":"412-419"},"PeriodicalIF":3.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142617","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145533046","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000022
Hongmei Wang;Heejung Byun
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.
{"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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000033
Jingjing Du;Lei Xiong;Dan Fei;Liang Shen;Xiangbing Tan
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.
{"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}
Channel Reciprocity-based Key Generation (CRKG) technique has gained significant attention among researchers in the field of Physical Layer Security (PLS). While existing methods in this area typically use raw channel information as input for secret key generation, we propose a novel approach that derives features from the raw material for key generation. Our comprehensive study explores a wide range of features derived from the reciprocal components of the Channel Impulse Response (CIR)s in both the time and frequency domains. Our findings demonstrate that the derived feature set exhibits better channel characteristics than the raw key material, even in the presence of eavesdroppers. We evaluate the efficiency of our proposed feature set using several performance metrics in a new feature-based key generation scheme to validate its efficiency. The results highlight the potential of this feature set for future key-generation applications.
{"title":"Feature extraction for channel reciprocity based secret key generation methods","authors":"Ghazal Bagheri;Paul Walther;Max Braunig;Ali Khandan Boroujeni;Stefan Köpsell","doi":"10.23919/JCN.2025.000023","DOIUrl":"https://doi.org/10.23919/JCN.2025.000023","url":null,"abstract":"Channel Reciprocity-based Key Generation (CRKG) technique has gained significant attention among researchers in the field of Physical Layer Security (PLS). While existing methods in this area typically use raw channel information as input for secret key generation, we propose a novel approach that derives features from the raw material for key generation. Our comprehensive study explores a wide range of features derived from the reciprocal components of the Channel Impulse Response (CIR)s in both the time and frequency domains. Our findings demonstrate that the derived feature set exhibits better channel characteristics than the raw key material, even in the presence of eavesdroppers. We evaluate the efficiency of our proposed feature set using several performance metrics in a new feature-based key generation scheme to validate its efficiency. The results highlight the potential of this feature set for future key-generation applications.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"147-165"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106373","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750977","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000043
{"title":"Open access publishing agreement","authors":"","doi":"10.23919/JCN.2025.000043","DOIUrl":"https://doi.org/10.23919/JCN.2025.000043","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"214-216"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106345","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750978","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000031
Hyun-Min Yoo;Sang-Yeon Lee;Geon Kim;Jong-Seok Rhee;Een-Kee Hong
The increasing number of devices in massive machine-type communication (mMTC) and the industrial Internet of Things (IIoT) requires more reliable, flexible, and intelligent communication systems with high capacity. As machines and IIoT devices are expected to be the main users of beyond 5G (B5G) and 6G networks, we should consider candidate technologies tailored for the mMTC scenario. In this paper, we propose a new paradigm of integrated sensing and communications (ISAC) tailored for sensor networks in smart factories, representing a key use case for mMTC. The ISAC for mMTC should be differentiated from radar sensing-based conventional ISACs and be capable of collaborating with other enabling technologies to enhance the performance of mMTC systems. In this context, the proposed framework enhances capabilities by introducing a packet layer, and this paper demonstrates its seamless integration into existing ISAC frameworks. To establish a novel framework for ISAC within the mMTC scenario, we focus on two major candidate technologies for B5G and 6G: private 5G and open radio access network (Open RAN, O-RAN). We present a reliable and secure sensor network leveraging private 5G infrastructure and suggest an intelligent data-driven system enabled by O-RAN architecture. Finally, we demonstrate the feasibility of the proposed framework with our testbed by showcasing the sensor data monitoring and predictive maintenance use cases for a smart factory system.
随着mMTC （massive machine-type communication）和工业物联网（industrial Internet of Things, IIoT）中设备数量的不断增加，需要更可靠、更灵活、更智能、更大容量的通信系统。由于机器和工业物联网设备预计将成为超5G （B5G）和6G网络的主要用户，我们应该考虑为mMTC场景量身定制的候选技术。在本文中，我们提出了一种为智能工厂传感器网络量身定制的集成传感和通信（ISAC）新范例，代表了mMTC的关键用例。用于mMTC的ISAC应区别于基于雷达传感的传统ISAC，并能够与其他使能技术协作以增强mMTC系统的性能。在这种情况下，提出的框架通过引入分组层来增强功能，并演示了其与现有ISAC框架的无缝集成。为了在mMTC场景下为ISAC建立一个新的框架，我们重点研究了B5G和6G的两种主要候选技术：专用5G和开放无线接入网络（open RAN, O-RAN）。我们提出了一个利用私有5G基础设施的可靠和安全的传感器网络，并建议一个由O-RAN架构支持的智能数据驱动系统。最后，我们通过展示智能工厂系统的传感器数据监控和预测性维护用例，在我们的测试平台上演示了所提出框架的可行性。
{"title":"Dedicated communication for sensing: A new use case for private 5G and open RAN for mMTC","authors":"Hyun-Min Yoo;Sang-Yeon Lee;Geon Kim;Jong-Seok Rhee;Een-Kee Hong","doi":"10.23919/JCN.2025.000031","DOIUrl":"https://doi.org/10.23919/JCN.2025.000031","url":null,"abstract":"The increasing number of devices in massive machine-type communication (mMTC) and the industrial Internet of Things (IIoT) requires more reliable, flexible, and intelligent communication systems with high capacity. As machines and IIoT devices are expected to be the main users of beyond 5G (B5G) and 6G networks, we should consider candidate technologies tailored for the mMTC scenario. In this paper, we propose a new paradigm of integrated sensing and communications (ISAC) tailored for sensor networks in smart factories, representing a key use case for mMTC. The ISAC for mMTC should be differentiated from radar sensing-based conventional ISACs and be capable of collaborating with other enabling technologies to enhance the performance of mMTC systems. In this context, the proposed framework enhances capabilities by introducing a packet layer, and this paper demonstrates its seamless integration into existing ISAC frameworks. To establish a novel framework for ISAC within the mMTC scenario, we focus on two major candidate technologies for B5G and 6G: private 5G and open radio access network (Open RAN, O-RAN). We present a reliable and secure sensor network leveraging private 5G infrastructure and suggest an intelligent data-driven system enabled by O-RAN architecture. Finally, we demonstrate the feasibility of the proposed framework with our testbed by showcasing the sensor data monitoring and predictive maintenance use cases for a smart factory system.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"200-207"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106376","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751120","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000035
Linxuan Chen;Xuewan Zhang;Chunying Pu;Pengxue Liu
In this paper, we propose an improved uniquely decomposable constellation group (I-UDCG) for codebook design of sparse code multiple access (SCMA) systems, which guarantees that the superimposed constellation of SCMA codebooks on each mapping resource satisfies the uniquely decomposable constraint. We optimize the bit error rate (BER) performance of the I-UDCG-based SCMA codebooks from two perspectives. One is to maximize the coding gain of the superimposed constellation of the I-UDCG, using the error probability bound (EPB) as the optimization criterion. The EPB is determined by a threshold distance rather than the minimum Euclidean distance (MED) among constellation points. The other approach focuses on maximizing the MED among the codebook's codewords to enlarge the coding gain of SCMA codebooks, thereby improving the BER performance of SCMA systems. Simulation results show that the two optimization methods can enhance the BER performance of SCMA. In particular, the first optimization method performs better in scenarios involving both small-size and large-size codebooks. Compared to other codebook design schemes, our proposal can exhibit strong anti-noise and antifading abilities for various codebook sizes.
本文针对稀疏码多址（SCMA）系统的码本设计，提出了一种改进的唯一可分解星座群（I-UDCG），保证了每个映射资源上的SCMA码本叠加星座满足唯一可分解约束。我们从两个角度优化了基于i - udcg的SCMA码本的误码率（BER）性能。一是利用误差概率界（error probability bound， EPB）作为优化准则，使I-UDCG叠加星座的编码增益最大化。EPB由星座点间的阈值距离而不是最小欧几里得距离（MED）来确定。另一种方法侧重于最大化码本码字间的MED，以增大码本的编码增益，从而提高码本系统的误码率性能。仿真结果表明，这两种优化方法都能提高系统的误码率。特别是，第一种优化方法在涉及小尺寸和大尺寸代码本的场景中表现更好。与其他码本设计方案相比，我们的方案在各种码本尺寸下都具有较强的抗噪声和抗衰落能力。
{"title":"An improved SCMA codebook design based on uniquely decomposable constellation groups","authors":"Linxuan Chen;Xuewan Zhang;Chunying Pu;Pengxue Liu","doi":"10.23919/JCN.2025.000035","DOIUrl":"https://doi.org/10.23919/JCN.2025.000035","url":null,"abstract":"In this paper, we propose an improved uniquely decomposable constellation group (I-UDCG) for codebook design of sparse code multiple access (SCMA) systems, which guarantees that the superimposed constellation of SCMA codebooks on each mapping resource satisfies the uniquely decomposable constraint. We optimize the bit error rate (BER) performance of the I-UDCG-based SCMA codebooks from two perspectives. One is to maximize the coding gain of the superimposed constellation of the I-UDCG, using the error probability bound (EPB) as the optimization criterion. The EPB is determined by a threshold distance rather than the minimum Euclidean distance (MED) among constellation points. The other approach focuses on maximizing the MED among the codebook's codewords to enlarge the coding gain of SCMA codebooks, thereby improving the BER performance of SCMA systems. Simulation results show that the two optimization methods can enhance the BER performance of SCMA. In particular, the first optimization method performs better in scenarios involving both small-size and large-size codebooks. Compared to other codebook design schemes, our proposal can exhibit strong anti-noise and antifading abilities for various codebook sizes.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"136-146"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106346","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750975","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000024
Weihua Liu;Changyou Li;Tianpeng Li;Peixu Xing;Jin Xu;Bowen Pan
As a key technology for beyond 5G and 6G, reconfigurable intelligent surfaces (RIS) have been extensively studied for their application in wireless communication to enhance system performance. However, existing RIS-assisted interference alignment (IA) strategies predominantly utilize passive RIS to align interference in communication systems, and the amplified noise in active RIS-assisted communication systems cannot be overlooked. In this paper, we investigate the problems of interference cancellation and maximizing the system sum-rate performance in an active RIS-assisted multi-user multiple-input multiple-output (MIMO) communication system. We consider the issue of amplified noise introduced by the active RIS within the system model. To mitigate interference, we propose a matrix rank-reduced method for designing RIS beamforming, which aims to minimize the rank of the MIMO interference channel. Furthermore, we introduce a novel iterative minimum interference leakage (min-IL) and Riemannian conjugate gradient (RCG) algorithm based on the rank-reduced MIMO interference channel. The proposed algorithm can completely eliminate inter-user interference and maximize the system sum-rate. Various simulation experiments yielded numerical results that demonstrate the effectiveness and applicability of the proposed algorithm.
{"title":"Iterative IA precoding and RIS beamforming based on rank-reduced MIMO interference channel","authors":"Weihua Liu;Changyou Li;Tianpeng Li;Peixu Xing;Jin Xu;Bowen Pan","doi":"10.23919/JCN.2025.000024","DOIUrl":"https://doi.org/10.23919/JCN.2025.000024","url":null,"abstract":"As a key technology for beyond 5G and 6G, reconfigurable intelligent surfaces (RIS) have been extensively studied for their application in wireless communication to enhance system performance. However, existing RIS-assisted interference alignment (IA) strategies predominantly utilize passive RIS to align interference in communication systems, and the amplified noise in active RIS-assisted communication systems cannot be overlooked. In this paper, we investigate the problems of interference cancellation and maximizing the system sum-rate performance in an active RIS-assisted multi-user multiple-input multiple-output (MIMO) communication system. We consider the issue of amplified noise introduced by the active RIS within the system model. To mitigate interference, we propose a matrix rank-reduced method for designing RIS beamforming, which aims to minimize the rank of the MIMO interference channel. Furthermore, we introduce a novel iterative minimum interference leakage (min-IL) and Riemannian conjugate gradient (RCG) algorithm based on the rank-reduced MIMO interference channel. The proposed algorithm can completely eliminate inter-user interference and maximize the system sum-rate. Various simulation experiments yielded numerical results that demonstrate the effectiveness and applicability of the proposed algorithm.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"179-189"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106350","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750976","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}
Pub Date : 2025-06-01DOI: 10.23919/JCN.2025.000042
{"title":"Information for authors","authors":"","doi":"10.23919/JCN.2025.000042","DOIUrl":"https://doi.org/10.23919/JCN.2025.000042","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"209-213"},"PeriodicalIF":3.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106374","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751070","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}
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