Pub Date : 2024-02-01DOI: 10.23919/JCC.ja.2022-0605
Meng Meng, Bo Hu, Shanzhi Chen, Jianyin Zhang
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.
{"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}
Pub Date : 2024-02-01DOI: 10.23919/JCC.ja.2022-0772
Xiao Li, Ling Zhao, Zhen Dai, Yonggang Lei
This letter proposes a sliced-gated-convolutional neural network with belief propagation (SGCNN-BP) architecture for decoding long codes under correlated noise. The basic idea of SGCNNBP is using Neural Networks (NN) to transform the correlated noise into white noise, setting up the optimal condition for a standard BP decoder that takes the output from the NN. A gate-controlled neuron is used to regulate information flow and an optional operation—slicing is adopted to reduce parameters and lower training complexity. Simulation results show that SGCNN-BP has much better performance (with the largest gap being 5dB improvement) than a single BP decoder and achieves a nearly 1dB improvement compared to Fully Convolutional Networks (FCN).
本文提出了一种具有信念传播功能的切片门控卷积神经网络（SGCNN-BP）架构，用于解码相关噪声下的长码。SGCNNBP 的基本思想是利用神经网络（NN）将相关噪声转化为白噪声，为标准 BP 解码器设定最佳条件，该解码器采用 NN 的输出。使用门控神经元来调节信息流，并采用可选操作--切片来减少参数和降低训练复杂度。仿真结果表明，SGCNN-BP 的性能比单一 BP 解码器好得多（最大差距为 5dB），与全卷积网络（FCN）相比提高了近 1dB。
{"title":"A denoiser for correlated noise channel decoding: Gated-neural network","authors":"Xiao Li, Ling Zhao, Zhen Dai, Yonggang Lei","doi":"10.23919/JCC.ja.2022-0772","DOIUrl":"https://doi.org/10.23919/JCC.ja.2022-0772","url":null,"abstract":"This letter proposes a sliced-gated-convolutional neural network with belief propagation (SGCNN-BP) architecture for decoding long codes under correlated noise. The basic idea of SGCNNBP is using Neural Networks (NN) to transform the correlated noise into white noise, setting up the optimal condition for a standard BP decoder that takes the output from the NN. A gate-controlled neuron is used to regulate information flow and an optional operation—slicing is adopted to reduce parameters and lower training complexity. Simulation results show that SGCNN-BP has much better performance (with the largest gap being 5dB improvement) than a single BP decoder and achieves a nearly 1dB improvement compared to Fully Convolutional Networks (FCN).","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":"140465059","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}
Pub Date : 2024-02-01DOI: 10.23919/JCC.fa.2022-0333.202402
Sheng Liu, Jing Zhao, Decheng Wu, Yiwang Huang, Kaiwu Luo
In this paper, a two-dimensional (2D) DOA estimation algorithm of coherent signals with a separated linear acoustic vector-sensor (AVS) array consisting of two sparse AVS arrays is proposed. Firstly, the partitioned spatial smoothing (PSS) technique is used to construct a block covariance matrix, so as to decorrelate the coherency of signals. Then a signal subspace can be obtained by singular value decomposition (SVD) of the covariance matrix. Using the signal subspace, two extended signal subspaces are constructed to compensate aperture loss caused by PSS. The elevation angles can be estimated by estimation of signal parameter via rotational invariance techniques (ESPRIT) algorithm. At last, the estimated elevation angles can be used to estimate automatically paired azimuth angles. Compared with some other ESPRIT algorithms, the proposed algorithm shows higher estimation accuracy, which can be proved through the simulation results.
{"title":"2D DOA estimation of coherent signals with a separated linear acoustic vector-sensor array","authors":"Sheng Liu, Jing Zhao, Decheng Wu, Yiwang Huang, Kaiwu Luo","doi":"10.23919/JCC.fa.2022-0333.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2022-0333.202402","url":null,"abstract":"In this paper, a two-dimensional (2D) DOA estimation algorithm of coherent signals with a separated linear acoustic vector-sensor (AVS) array consisting of two sparse AVS arrays is proposed. Firstly, the partitioned spatial smoothing (PSS) technique is used to construct a block covariance matrix, so as to decorrelate the coherency of signals. Then a signal subspace can be obtained by singular value decomposition (SVD) of the covariance matrix. Using the signal subspace, two extended signal subspaces are constructed to compensate aperture loss caused by PSS. The elevation angles can be estimated by estimation of signal parameter via rotational invariance techniques (ESPRIT) algorithm. At last, the estimated elevation angles can be used to estimate automatically paired azimuth angles. Compared with some other ESPRIT algorithms, the proposed algorithm shows higher estimation accuracy, which can be proved through the simulation results.","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":"140465619","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}
Pub Date : 2024-02-01DOI: 10.23919/JCC.fa.2023-0371.202402
Chengjie Li, Lidong Zhu, Zhen Zhang
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.
{"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}
Pub Date : 2024-02-01DOI: 10.23919/JCC.ja.2022-0844
Guijin Tang, Lian Duan, Haitao Zhao, Feng Liu
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.
{"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}
Pub Date : 2024-02-01DOI: 10.23919/JCC.fa.2022-0860.202402
Samiullah Mehraban, R. K. Yadav
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.
对于未来网络，全球许多研究项目都提出了不同的架构；软件定义网络（SDN）架构通过分离数据层和控制层，为其提供了一个重要的结构。通过全球视角和集中控制，SDN 网络可提供灵活可靠的网络管理，从而提高网络吞吐量和链路利用率。此外，它还支持创新的流量调度系统，有助于推进流量工程（TE）。对于中型和大型网络来说，从传统网络直接迁移到 SDN 网络似乎更加复杂，甚至是不可能的，因为存在着很大的潜在挑战，包括技术、资金、安全、标准短缺和服务质量下降等挑战。这些挑战为混合 SDN 网络（SDN 设备与传统网络设备共存）的诞生奠定了基础。本研究探讨了混合 SDN 网络的流量工程和服务质量问题。在混合 SDN 网络中，服务质量由延迟、抖动、损耗、带宽和网络链接利用率等网络特性来描述，并采用行业标准和机制。我们对相关研究进行了整理，以便利用不同的算法和机制，从混合 SDN 网络的概念中获得服务质量的最大收益：深度强化学习（DRL）、启发式算法、K 路径分割算法、遗传算法、SOTE 算法、ROAR 方法和路由优化等不同的优化机制有助于确保混合 SDN 网络的高质量性能。
{"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}
Since the evolving standardization of cellular V2X (C-V2X) technologies is continuously developed by 3GPP, research on new radio (NR-V2X) has been on schedule by academic and industries. Though millimeter wave (mmWave) frequency band is supposed to provide large transmission bandwidth, yet the development of mmWave band in NR-V2X is still in preliminary stage. In this article, a comprehensive discussion of mmWave NR-V2X is given covering trends, standardization landscape, and enabling technologies, aiming at tackling the challenge of channel modeling, directional channel access, beamforming and blockage management. The vision of mmWave NR-V2X is to fully support the development of automated driving, holographic control display and improved in-car infotainment for the future.
{"title":"Building mmWave on the evolving C-V2X: MmWave NR-V2X","authors":"Shanzhi Chen, Xinxin He, Rui Zhao, Jinling Hu, Xin Zhang","doi":"10.23919/JCC.fa.2023-0351.202401","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0351.202401","url":null,"abstract":"Since the evolving standardization of cellular V2X (C-V2X) technologies is continuously developed by 3GPP, research on new radio (NR-V2X) has been on schedule by academic and industries. Though millimeter wave (mmWave) frequency band is supposed to provide large transmission bandwidth, yet the development of mmWave band in NR-V2X is still in preliminary stage. In this article, a comprehensive discussion of mmWave NR-V2X is given covering trends, standardization landscape, and enabling technologies, aiming at tackling the challenge of channel modeling, directional channel access, beamforming and blockage management. The vision of mmWave NR-V2X is to fully support the development of automated driving, holographic control display and improved in-car infotainment for the future.","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":"140523718","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}
Pub Date : 2024-01-01DOI: 10.23919/JCC.fa.2023-0355.202401
Wei Zhang, Xiaofeng Zhong, Shidong Zhou
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.
{"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}
Edge computing paradigm for 5G architecture has been considered as one of the most effective ways to realize low latency and highly reliable communication, which brings computing tasks and network resources to the edge of network. The deployment of edge computing nodes is a key factor affecting the service performance of edge computing systems. In this paper, we propose a method for deploying edge computing nodes based on user location. Through the combination of Simulation of Urban Mobility (SUMO) and Network Simulator-3 (NS-3), a simulation platform is built to generate data of hotspot areas in IoT scenario. By effectively using the data generated by the communication between users in IoT scenario, the location area of the user terminal can be obtained. On this basis, the deployment problem is expressed as a mixed integer linear problem, which can be solved by Simulated Annealing (SA) method. The analysis of the results shows that, compared with the traditional method, the proposed method has faster convergence speed and better performance.
{"title":"Deployment of edge computing nodes in IoT: Effective implementation of simulated annealing method based on user location","authors":"Junhui Zhao, Ziyang Zhang, Zhenghao Yi, Xiaoting Ma, Qingmiao Zhang","doi":"10.23919/JCC.fa.2021-0034.202401","DOIUrl":"https://doi.org/10.23919/JCC.fa.2021-0034.202401","url":null,"abstract":"Edge computing paradigm for 5G architecture has been considered as one of the most effective ways to realize low latency and highly reliable communication, which brings computing tasks and network resources to the edge of network. The deployment of edge computing nodes is a key factor affecting the service performance of edge computing systems. In this paper, we propose a method for deploying edge computing nodes based on user location. Through the combination of Simulation of Urban Mobility (SUMO) and Network Simulator-3 (NS-3), a simulation platform is built to generate data of hotspot areas in IoT scenario. By effectively using the data generated by the communication between users in IoT scenario, the location area of the user terminal can be obtained. On this basis, the deployment problem is expressed as a mixed integer linear problem, which can be solved by Simulated Annealing (SA) method. The analysis of the results shows that, compared with the traditional method, the proposed method has faster convergence speed and better performance.","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":"140526177","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}
Pub Date : 2024-01-01DOI: 10.23919/JCC.ja.2022-0739
Yang Liu, Gang Li, Cheng Wang
In this paper, the channel impulse response matrix (CIRM) can be expressed as a sum of couplings between the steering vectors at the base station (BS) and the eigenbases at the mobile station (MS). Nakagami distribution was used to describe the fading of the coupling between the steering vectors and the eigenbases. Extensive measurements were carried out to evaluate the performance of this proposed model. Furthermore, the physical implications of this model were illustrated and the capacities are analyzed. In addition, the azimuthal power spectrum(APS) of several models was analyzed. Finally, the channel hardening effect was simulated and discussed. Results showed that the proposed model provides a better fit to the measured results than the other CBSM, i.e., Weichselberger model. Moreover, the proposed model can provide better tradeoff between accuracy and complexity in channel synthesis. This CIRM model can be used for massive MIMO design in the future communication system design.
在本文中，信道脉冲响应矩阵（CIRM）可表示为基站（BS）的转向矢量与移动站（MS）的特征基之间耦合的总和。中神分布用于描述转向矢量和特征基之间耦合的衰减。为评估所建模型的性能，进行了广泛的测量。此外，还说明了这一模型的物理意义并分析了其容量。此外，还分析了几种模型的方位功率谱（APS）。最后，模拟并讨论了信道硬化效应。结果表明，与其他 CBSM（即 Weichselberger 模型）相比，所提出的模型能更好地拟合测量结果。此外，提出的模型还能在信道合成的准确性和复杂性之间做出更好的权衡。这种 CIRM 模型可用于未来通信系统设计中的大规模 MIMO 设计。
{"title":"A correlation-based stochastic model for massive MIMO channel","authors":"Yang Liu, Gang Li, Cheng Wang","doi":"10.23919/JCC.ja.2022-0739","DOIUrl":"https://doi.org/10.23919/JCC.ja.2022-0739","url":null,"abstract":"In this paper, the channel impulse response matrix (CIRM) can be expressed as a sum of couplings between the steering vectors at the base station (BS) and the eigenbases at the mobile station (MS). Nakagami distribution was used to describe the fading of the coupling between the steering vectors and the eigenbases. Extensive measurements were carried out to evaluate the performance of this proposed model. Furthermore, the physical implications of this model were illustrated and the capacities are analyzed. In addition, the azimuthal power spectrum(APS) of several models was analyzed. Finally, the channel hardening effect was simulated and discussed. Results showed that the proposed model provides a better fit to the measured results than the other CBSM, i.e., Weichselberger model. Moreover, the proposed model can provide better tradeoff between accuracy and complexity in channel synthesis. This CIRM model can be used for massive MIMO design in the future communication system design.","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":"140521719","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}
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