China Communications最新文献_第5页

High-precision Doppler frequency estimation based positioning using OTFS modulations by red and blue frequency shift discriminator 通过红蓝频移鉴别器使用 OTFS 调制进行基于多普勒频率估计的高精度定位

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0229.202402

Shaojing Wang, Xiaomei Tang, Jing Lei, Chunjiang Ma, Chao Wen, Guangfu Sun

{"title":"High-precision Doppler frequency estimation based positioning using OTFS modulations by red and blue frequency shift discriminator","authors":"Shaojing Wang, Xiaomei Tang, Jing Lei, Chunjiang Ma, Chao Wen, Guangfu Sun","doi":"10.23919/JCC.fa.2023-0229.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0229.202402","url":null,"abstract":"Orthogonal Time Frequency and Space (OTFS) modulation is expected to provide high-speed and ultra-reliable communications for emerging mobile applications, including low-orbit satellite communications. Using the Doppler frequency for positioning is a promising research direction on communication and navigation integration. To tackle the high Doppler frequency and low signal-to-noise ratio (SNR) in satellite communication, this paper proposes a Red and Blue Frequency Shift Discriminator (RBFSD) based on the pseudo-noise (PN) sequence. The paper derives that the cross-correlation function on the Doppler domain exhibits the characteristic of a Sinc function. Therefore, it applies modulation onto the Delay-Doppler domain using PN sequence and adjusts Doppler frequency estimation by red-shifting or blue-shifting. Simulation results show that the performance of Doppler frequency estimation is close to the Cramér-Rao Lower Bound when the SNR is greater than −15dB. The proposed algorithm is about 1/D times less complex than the existing PN pilot sequence algorithm, where D is the resolution of the fractional Doppler.","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":"140462787","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

Energy-efficient traffic offloading for RSMA-based hybrid satellite terrestrial networks with deep reinforcement learning 利用深度强化学习为基于 RSMA 的混合卫星地面网络提供高能效流量卸载

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0454.202402

Qingmiao Zhang, Lidong Zhu, Yanyan Chen, Shan Jiang

引用次数: 0

Flight time minimization of UAV for cooperative data collection in probabilistic LoS channel 无人机在概率 LoS 信道中合作收集数据的飞行时间最小化

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2021-0823.202402

Yan Li, Shaoyi Xu, Yunpu Wu, Dongji Li

引用次数: 0

Resilient satellite communication networks towards highly dynamic and highly reliable transmission 实现高动态和高可靠性传输的弹性卫星通信网络

China Communications Pub Date : 2024-02-01 DOI: 10.23919/jcc.2024.10466686

Lidong Zhu, Michele Luglio, Zhili Sun, Gengxin Zhang, Mingchuan Yang

引用次数: 0

Joint optimization of resource allocation and trajectory based on user trajectory for UAV-assisted backscatter communication system 基于用户轨迹的无人机辅助反向散射通信系统的资源分配和轨迹联合优化

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0107.202402

Peizhong Xie, Junjie Jiang, Ting Li, Yin Lu

{"title":"Joint optimization of resource allocation and trajectory based on user trajectory for UAV-assisted backscatter communication system","authors":"Peizhong Xie, Junjie Jiang, Ting Li, Yin Lu","doi":"10.23919/JCC.fa.2023-0107.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0107.202402","url":null,"abstract":"The Backscatter communication has gained widespread attention from academia and industry in recent years. In this paper, A method of resource allocation and trajectory optimization is proposed for UAV-assisted backscatter communication based on user trajectory. This paper will establish an optimization problem of jointly optimizing the UAV trajectories, UAV transmission power and BD scheduling based on the large-scale channel state signals estimated in advance of the known user trajectories, taking into account the constraints of BD data and working energy consumption, to maximize the energy efficiency of the system. The problem is a non-convex optimization problem in fractional form, and there is nonlinear coupling between optimization variables. An iterative algorithm is proposed based on Dinkelbach algorithm, block coordinate descent method and continuous convex optimization technology. First, the objective function is converted into a non-fractional programming problem based on Dinkelbach method, and then the block coordinate descent method is used to decompose the original complex problem into three independent sub-problems. Finally, the successive convex approximation method is used to solve the trajectory optimization sub-problem. The simulation results show that the proposed scheme and algorithm have obvious energy efficiency gains compared with the comparison scheme.","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":"140465780","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

Mutual information maximization via joint power allocation in integrated sensing and communications system 在综合传感与通信系统中通过联合功率分配实现互信息最大化

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0138.202402

Jia Zhu, Junsheng Mu, Yuanhao Cui, Xia Jing

{"title":"Mutual information maximization via joint power allocation in integrated sensing and communications system","authors":"Jia Zhu, Junsheng Mu, Yuanhao Cui, Xia Jing","doi":"10.23919/JCC.fa.2023-0138.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0138.202402","url":null,"abstract":"In this paper, we focus on the power allocation of Integrated Sensing and Communication (ISAC) with orthogonal frequency division multiplexing (OFDM) waveform. In order to improve the spectrum utilization efficiency in ISAC, we propose a design scheme based on spectrum sharing, that is, to maximize the mutual information (MI) of radar sensing while ensuring certain communication rate and transmission power constraints. In the proposed scheme, three cases are considered for the scattering off the target due to the communication signals, as negligible signal, beneficial signal, and interference signal to radar sensing, respectively, thus requiring three power allocation schemes. However, the corresponding power allocation schemes are nonconvex and their closed-form solutions are unavailable as a consequence. Motivated by this, alternating optimization (AO), sequence convex programming (SCP) and Lagrange multiplier are individually combined for three suboptimal solutions corresponding with three power allocation schemes. By combining the three algorithms, we transform the non-convex problem which is difficult to deal with into a convex problem which is easy to solve and obtain the suboptimal solution of the corresponding optimization problem. Numerical results show that, compared with the allocation results of the existing algorithms, the proposed joint design algorithm significantly improves the radar performance.","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":"140470244","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

Robot-oriented 6G satellite-UAV networks: Requirements, paradigm shifts, and case studies 面向机器人的 6G 卫星-无人机网络：要求、范式转变和案例研究

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0635.202402

Peng Wei, W. Feng, Yunfei Chen, Ning Ge, Wei Xiang

{"title":"Robot-oriented 6G satellite-UAV networks: Requirements, paradigm shifts, and case studies","authors":"Peng Wei, W. Feng, Yunfei Chen, Ning Ge, Wei Xiang","doi":"10.23919/JCC.fa.2023-0635.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0635.202402","url":null,"abstract":"Networked robots can perceive their surroundings, interact with each other or humans, and make decisions to accomplish specified tasks in remote/hazardous/complex environments. Satelliteunmanned aerial vehicle (UAV) networks can support such robots by providing on-demand communication services. However, under traditional open-loop communication paradigm, the network resources are usually divided into user-wise mostly-independent links, via ignoring the task-level dependency of robot collaboration. Thus, it is imperative to develop a new communication paradigm, taking into account the highlevel content and values behind, to facilitate multirobot operation. Inspired by Wiener's Cybernetics theory, this article explores a closed-loop communication paradigm for the robot-oriented satellite-UAV network. This paradigm turns to handle group-wise structured links, so as to allocate resources in a taskoriented manner. It could also exploit the mobility of robots to liberate the network from full coverage, enabling new orchestration between network serving and positive mobility control of robots. Moreover, the integration of sensing, communications, computing and control would enlarge the benefit of this new paradigm. We present a case study for joint mobile edge computing (MEC) offloading and mobility control of robots, and finally outline potential challenges and open issues.","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":"140467897","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

Cooperative anti-jamming and interference mitigation for UAV networks: A local altruistic game approach 无人机网络的合作抗干扰和干扰缓解：局部利他博弈方法

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2021-0759.202402

Yueyue Su, Nan Qi, Zanqi Huang, Rugui Yao, Luliang Jia

引用次数: 0

For mega-constellations: Edge computing and safety management based on blockchain technology 用于超大型集群：基于区块链技术的边缘计算和安全管理

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0404.202402

Zhen Zhang, Bing Guo, Chengjie Li

{"title":"For mega-constellations: Edge computing and safety management based on blockchain technology","authors":"Zhen Zhang, Bing Guo, Chengjie Li","doi":"10.23919/JCC.fa.2023-0404.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0404.202402","url":null,"abstract":"In mega-constellation Communication Systems, efficient routing algorithms and data transmission technologies are employed to ensure fast and reliable data transfer. However, the limited computational resources of satellites necessitate the use of edge computing to enhance secure communication. While edge computing reduces the burden on cloud computing, it introduces security and reliability challenges in open satellite communication channels. To address these challenges, we propose a blockchain architecture specifically designed for edge computing in mega-constellation communication systems. This architecture narrows down the consensus scope of the blockchain to meet the requirements of edge computing while ensuring comprehensive log storage across the network. Additionally, we introduce a reputation management mechanism for nodes within the blockchain, evaluating their trustworthiness, workload, and efficiency. Nodes with higher reputation scores are selected to participate in tasks and are appropriately incentivized. Simulation results demonstrate that our approach achieves a task result reliability of 95% while improving computational speed.","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":"140464864","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

Blockchain-based MCS detection framework of abnormal spectrum usage for satellite spectrum sharing scenario 基于区块链的卫星频谱共享场景下异常频谱使用的 MCS 检测框架

China Communications Pub Date : 2024-02-01 DOI: 10.23919/JCC.fa.2023-0424.202402

Ning Yang, Heng Wang, Jingming Hu, Bangning Zhang, D. Guo, Yuan Liu

{"title":"Blockchain-based MCS detection framework of abnormal spectrum usage for satellite spectrum sharing scenario","authors":"Ning Yang, Heng Wang, Jingming Hu, Bangning Zhang, D. Guo, Yuan Liu","doi":"10.23919/JCC.fa.2023-0424.202402","DOIUrl":"https://doi.org/10.23919/JCC.fa.2023-0424.202402","url":null,"abstract":"In this paper, the problem of abnormal spectrum usage between satellite spectrum sharing systems is investigated to support multi-satellite spectrum coexistence. Given the cost of monitoring, the mobility of low-orbit satellites, and the directional nature of their signals, traditional monitoring methods are no longer suitable, especially in the case of multiple power level. Mobile crowdsensing (MCS), as a new technology, can make full use of idle resources to complete a variety of perceptual tasks. However, traditional MCS heavily relies on a centralized server and is vulnerable to single point of failure attacks. Therefore, we replace the original centralized server with a blockchain-based distributed service provider to enable its security. Therefore, in this work, we propose a blockchain-based MCS framework, in which we explain in detail how this framework can achieve abnormal frequency behavior monitoring in an inter-satellite spectrum sharing system. Then, under certain false alarm probability, we propose an abnormal spectrum detection algorithm based on mixed hypothesis test to maximize detection probability in single power level and multiple power level scenarios, respectively. Finally, a Bad out of Good (BooG) detector is proposed to ease the computational pressure on the blockchain nodes. Simulation results show the effectiveness of the proposed framework.","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":"140470039","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