China Communications最新文献_第6页

Cooperative user-scheduling and resource allocation optimization for intelligent reflecting surface enhanced LEO satellite communication 智能反射面增强型低地轨道卫星通信的合作用户调度和资源分配优化

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.ja.2022-0605

Meng Meng, Bo Hu, Shanzhi Chen, Jianyin Zhang

{"title":"Cooperative user-scheduling and resource allocation optimization for intelligent reflecting surface enhanced LEO satellite communication","authors":"Meng Meng, Bo Hu, Shanzhi Chen, Jianyin Zhang","doi":"10.23919/JCC.ja.2022-0605","DOIUrl":"https://doi.org/10.23919/JCC.ja.2022-0605","url":null,"abstract":"Lower Earth Orbit (LEO) satellite becomes an important part of complementing terrestrial communication due to its lower orbital altitude and smaller propagation delay than Geostationary satellite. However, the LEO satellite communication system cannot meet the requirements of users when the satellite-terrestrial link is blocked by obstacles. To solve this problem, we introduce Intelligent reflect surface (IRS) for improving the achievable rate of terrestrial users in LEO satellite communication. We investigated joint IRS scheduling, user scheduling, power and bandwidth allocation (JIRPB) optimization algorithm for improving LEO satellite system throughput. The optimization problem of joint user scheduling and resource allocation is formulated as a non-convex optimization problem. To cope with this problem, the nonconvex optimization problem is divided into resource allocation optimization sub-problem and scheduling optimization sub-problem firstly. Second, we optimize the resource allocation sub-problem via alternating direction multiplier method (ADMM) and scheduling sub-problem via Lagrangian dual method repeatedly. Third, we prove that the proposed resource allocation algorithm based ADMM approaches sublinear convergence theoretically. Finally, we demonstrate that the proposed JIRPB optimization algorithm improves the LEO satellite communication system throughput.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140470122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A denoiser for correlated noise channel decoding: Gated-neural network 用于相关噪声信道解码的去噪器门控神经网络

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.ja.2022-0772

Xiao Li, Ling Zhao, Zhen Dai, Yonggang Lei

引用次数: 0

2D DOA estimation of coherent signals with a separated linear acoustic vector-sensor array 利用分离式线性声学矢量传感器阵列对相干信号进行二维 DOA 估算

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2022-0333.202402

Sheng Liu, Jing Zhao, Decheng Wu, Yiwang Huang, Kaiwu Luo

引用次数: 0

For LEO satellite networks: Intelligent interference sensing and signal reconstruction based on blind separation technology 用于低地轨道卫星网络：基于盲区分离技术的智能干扰感应和信号重建

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0371.202402

Chengjie Li, Lidong Zhu, Zhen Zhang

{"title":"For LEO satellite networks: Intelligent interference sensing and signal reconstruction based on blind separation technology","authors":"Chengjie Li, Lidong Zhu, Zhen Zhang","doi":"10.23919/JCC.fa.2023-0371.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0371.202402","url":null,"abstract":"In LEO satellite communication networks, the number of satellites has increased sharply, the relative velocity of satellites is very fast, then electronic signal aliasing occurs from time to time. Those aliasing signals make the receiving ability of the signal receiver worse, the signal processing ability weaker, and the anti-interference ability of the communication system lower. Aiming at the above problems, to save communication resources and improve communication efficiency, and considering the irregularity of interference signals, the underdetermined blind separation technology can effectively deal with the problem of interference sensing and signal reconstruction in this scenario. In order to improve the stability of source signal separation and the security of information transmission, a greedy optimization algorithm can be executed. At the same time, to improve network information transmission efficiency and prevent algorithms from getting trapped in local optima, delete low-energy points during each iteration process. Ultimately, simulation experiments validate that the algorithm presented in this paper enhances both the transmission efficiency of the network transmission system and the security of the communication system, achieving the process of interference sensing and signal reconstruction in the LEO satellite communication system.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel multi-stream fusion network for underwater image enhancement 用于水下图像增强的新型多流融合网络

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.ja.2022-0844

Guijin Tang, Lian Duan, Haitao Zhao, Feng Liu

{"title":"A novel multi-stream fusion network for underwater image enhancement","authors":"Guijin Tang, Lian Duan, Haitao Zhao, Feng Liu","doi":"10.23919/JCC.ja.2022-0844","DOIUrl":"https://doi.org/10.23919/JCC.ja.2022-0844","url":null,"abstract":"Due to the selective absorption of light and the existence of a large number of floating media in sea water, underwater images often suffer from color casts and detail blurs. It is therefore necessary to perform color correction and detail restoration. However, the existing enhancement algorithms cannot achieve the desired results. In order to solve the above problems, this paper proposes a multi-stream feature fusion network. First, an underwater image is preprocessed to obtain potential information from the illumination stream, color stream and structure stream by histogram equalization with contrast limitation, gamma correction and white balance, respectively. Next, these three streams and the original raw stream are sent to the residual blocks to extract the features. The features will be subsequently fused. It can enhance feature representation in underwater images. In the meantime, a composite loss function including three terms is used to ensure the quality of the enhanced image from the three aspects of color balance, structure preservation and image smoothness. Therefore, the enhanced image is more in line with human visual perception. Finally, the effectiveness of the proposed method is verified by comparison experiments with many stateof-the-art underwater image enhancement algorithms. Experimental results show that the proposed method provides superior results over them in terms of MSE, PSNR, SSIM, UIQM and UCIQE, and the enhanced images are more similar to their ground truth images.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140465440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Traffic engineering and quality of service in hybrid software defined networks 混合软件定义网络中的流量工程和服务质量

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2022-0860.202402

Samiullah Mehraban, R. K. Yadav

{"title":"Traffic engineering and quality of service in hybrid software defined networks","authors":"Samiullah Mehraban, R. K. Yadav","doi":"10.23919/JCC.fa.2022-0860.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2022-0860.202402","url":null,"abstract":"For Future networks, many research projects have proposed different architectures around the globe; Software Defined Network (SDN) architectures, through separating Data and Control Layers, offer a crucial structure for it. With a worldwide view and centralized Control, the SDN network provides flexible and reliable network management that improves network throughput and increases link utilization. In addition, it supports an innovative flow scheduling system to help advance Traffic Engineering (TE). For Medium and large-scale networks migrating directly from a legacy network to an SDN Network seems more complicated & even impossible, as there are High potential challenges, including technical, financial, security, shortage of standards, and quality of service degradation challenges. These challenges cause the birth and pave the ground for Hybrid SDN networks, where SDN devices coexist with traditional network devices. This study explores a Hybrid SDN network's Traffic Engineering and Quality of Services Issues. Quality of service is described by network characteristics such as latency, jitter, loss, bandwidth, and network link utilization, using industry standards and mechanisms in a Hybrid SDN Network. We have organized the related studies in a way that the Quality of Service may gain the most benefit from the concept of Hybrid SDN networks using different algorithms and mechanisms: Deep Reinforcement Learning (DRL), Heuristic algorithm, K path partition algorithm, Genetic algorithm, SOTE algorithm, ROAR method, and Routing Optimization with different optimization mechanisms that help to ensure high-quality performance in a Hybrid SDN Network.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Building mmWave on the evolving C-V2X: MmWave NR-V2X 在不断发展的 C-V2X 上构建毫米波：毫米波 NR-V2X

China Communications Pub Date : 2024-01-01 DOI: 10.23919/JCC.fa.2023-0351.202401

Shanzhi Chen, Xinxin He, Rui Zhao, Jinling Hu, Xin Zhang

引用次数: 0

A joint activity and data detection scheme for asynchronous grant-free rateless multiple access 异步无赠予无速率多路访问的活动和数据联合检测方案

China Communications Pub Date : 2024-01-01 DOI: 10.23919/JCC.fa.2023-0355.202401

Wei Zhang, Xiaofeng Zhong, Shidong Zhou

{"title":"A joint activity and data detection scheme for asynchronous grant-free rateless multiple access","authors":"Wei Zhang, Xiaofeng Zhong, Shidong Zhou","doi":"10.23919/JCC.fa.2023-0355.202401","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0355.202401","url":null,"abstract":"This paper considers the frame-asynchronous grant-free rateless multiple access (FA-GF-RMA) scenario, where users can initiate access at any symbol time, using shared channel resources to transmit data to the base station. Rateless coding is introduced to enhance the reliability of the system. Previous literature has shown that FA-GF-RMA can achieve lower access delay than frame-synchronous grant-free rateless multiple access (FS-GF-RMA), with extreme reliability enabled by rateless coding. To support FA-GF-RMA in more practical scenarios, a joint activity and data detection (JADD) scheme is proposed. Exploiting the feature of sporadic traffic, approximate message passing (AMP) is exploited for transmission signal matrix estimation. Then, to determine the packet start points, a maximum posterior probability (MAP) estimation problem is solved based on the recovered transmitted signals, leveraging the intrinsic power pattern in the codeword. An iterative power-pattern-aided AMP algorithm is devised to enhance the estimation performance of AMP. Simulation results verify that the proposed solution achieves a delay performance that is comparable to the performance limit of FA-GF-RMA.","PeriodicalId":504777,"journal":{"name":"China Communications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deployment of edge computing nodes in IoT: Effective implementation of simulated annealing method based on user location 在物联网中部署边缘计算节点：基于用户位置的模拟退火法的有效实施

China Communications Pub Date : 2024-01-01 DOI: 10.23919/JCC.fa.2021-0034.202401

Junhui Zhao, Ziyang Zhang, Zhenghao Yi, Xiaoting Ma, Qingmiao Zhang

引用次数: 0

A correlation-based stochastic model for massive MIMO channel 基于相关性的大规模多输入多输出信道随机模型

China Communications Pub Date : 2024-01-01 DOI: 10.23919/JCC.ja.2022-0739

Yang Liu, Gang Li, Cheng Wang

引用次数: 0