This work evaluates the secrecy performance for the rate splitting multiple access-aided satellite-aerial-vehicle integrated networks, particularly, non-ideal hardware is further considered at the transmission nodes. To enhance the transmission, rate splitting multiple access scheme is utilized in the considered networks. In addition, multiple unmanned-aerial-vehicles (UAVs) are utilized to help the transmission from the satellite to the vehicle destinations under multiple eavesdroppers. To balance the system performance and complexity, partial selection strategy is applied at the UAVs. Owing to some practical reasons, the direct transmission link is not applied in the considered system. By considering the above the limitations, this paper obtains the exact and asymptotic expressions for the secrecy outage probability to confirm the influences of non-ideal hardware, system parameters and channel parameters on the secrecy performance of the secrecy networks. Moreover, the investigations for the secrecy energy efficiency are also provided in this paper. At last, several representative Monte Carlo simulations are plotted to verify the rightness of the derived results.
{"title":"RSMA-aided satellite-aerial-vehicle integrated networks: Secrecy performance evaluation with non-ideal hardware","authors":"Feng Zhou;Xingwang Li;Jian Cheng;Ji Wang;Kefeng Guo","doi":"10.23919/JCN.2024.000052","DOIUrl":"https://doi.org/10.23919/JCN.2024.000052","url":null,"abstract":"This work evaluates the secrecy performance for the rate splitting multiple access-aided satellite-aerial-vehicle integrated networks, particularly, non-ideal hardware is further considered at the transmission nodes. To enhance the transmission, rate splitting multiple access scheme is utilized in the considered networks. In addition, multiple unmanned-aerial-vehicles (UAVs) are utilized to help the transmission from the satellite to the vehicle destinations under multiple eavesdroppers. To balance the system performance and complexity, partial selection strategy is applied at the UAVs. Owing to some practical reasons, the direct transmission link is not applied in the considered system. By considering the above the limitations, this paper obtains the exact and asymptotic expressions for the secrecy outage probability to confirm the influences of non-ideal hardware, system parameters and channel parameters on the secrecy performance of the secrecy networks. Moreover, the investigations for the secrecy energy efficiency are also provided in this paper. At last, several representative Monte Carlo simulations are plotted to verify the rightness of the derived results.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"477-489"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600245","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 : 2024-10-01DOI: 10.23919/JCN.2024.000040
Mingfu Zhu;Shuping Ni;Ran Xu;Yi Jin
To resolve the impact of channel uncertainties and information leakage in wireless-powered backscatter communication networks, a robust secure resource allocation algorithm with non-orthogonal multiple access is proposed. Specifically, a secure energy-efficient maximization problem with spherical uncertainties is formulated under the constraints of the maximum transmit power, the minimum secure rate, the time allocation factors, and the minimum harvested energy. Then, the original non-convex problem with channel uncertainties is transformed into a deterministic one by applying the worst-case approach and inequality transformation. In addition, the deterministic problem is converted into a convex one by using the variable relaxation method, successive convex approximation, and Dinkelbach's method. Simulation results demonstrate that the proposed algorithm has higher energy efficiency and lower outage probabilities.
{"title":"Energy-efficient optimization for secure wireless-powered backscatter communications with imperfect CSI and artificial noise","authors":"Mingfu Zhu;Shuping Ni;Ran Xu;Yi Jin","doi":"10.23919/JCN.2024.000040","DOIUrl":"https://doi.org/10.23919/JCN.2024.000040","url":null,"abstract":"To resolve the impact of channel uncertainties and information leakage in wireless-powered backscatter communication networks, a robust secure resource allocation algorithm with non-orthogonal multiple access is proposed. Specifically, a secure energy-efficient maximization problem with spherical uncertainties is formulated under the constraints of the maximum transmit power, the minimum secure rate, the time allocation factors, and the minimum harvested energy. Then, the original non-convex problem with channel uncertainties is transformed into a deterministic one by applying the worst-case approach and inequality transformation. In addition, the deterministic problem is converted into a convex one by using the variable relaxation method, successive convex approximation, and Dinkelbach's method. Simulation results demonstrate that the proposed algorithm has higher energy efficiency and lower outage probabilities.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"545-553"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10750113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600428","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 : 2024-10-01DOI: 10.23919/JCN.2024.000059
De Mi;Zhengyu Zhou;Fan Liu;Zesong Fei;Bo Ai;Derrick Wing Kwn Ng;Yajun Zhao
In response to the evolving demands of advanced business applications and the stringent performance requirements anticipated for future 6G networks, the International Telecommunication Union (ITU) has identified Integrated Sensing and Communications (ISAC) as a prominent application scenario within its published framework recommendations. ISAC is designed to facilitate extensive multi-dimensional sensing capabilities, enabling the acquisition of spatial information regarding unknown objects, connected devices, and the surrounding environment. This paradigm is poised to support innovative applications, including automation, safe driving, digital twins, and the integration of artificial intelligence, thereby enhancing the perception of the physical environment.
{"title":"Special issue on integrated sensing and communications (ISAC)","authors":"De Mi;Zhengyu Zhou;Fan Liu;Zesong Fei;Bo Ai;Derrick Wing Kwn Ng;Yajun Zhao","doi":"10.23919/JCN.2024.000059","DOIUrl":"https://doi.org/10.23919/JCN.2024.000059","url":null,"abstract":"In response to the evolving demands of advanced business applications and the stringent performance requirements anticipated for future 6G networks, the International Telecommunication Union (ITU) has identified Integrated Sensing and Communications (ISAC) as a prominent application scenario within its published framework recommendations. ISAC is designed to facilitate extensive multi-dimensional sensing capabilities, enabling the acquisition of spatial information regarding unknown objects, connected devices, and the surrounding environment. This paradigm is poised to support innovative applications, including automation, safe driving, digital twins, and the integration of artificial intelligence, thereby enhancing the perception of the physical environment.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"472-476"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748600","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600417","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 : 2024-10-01DOI: 10.23919/JCN.2024.000051
Sangmi Moon;Huaping Liu;Intae Hwang
Integrated sensing and communication (ISAC) has attracted interest as a potential technology for 6G networks because it efficiently combines sensing and communication functions while utilizing shared spectrum resources. ISAC systems use reconfigurable intelligent surfaces (RISs) to dynamically control propagation environments, improving signal quality and coverage in challenging environments for unmanned aerial vehicle (UAV) networks. In this study, we propose a novel solution for joint beamforming in RIS-assisted ISAC systems within UAV networks. By leveraging a deep reinforcement learning (DRL) framework, we aim to optimize beamforming at both the ISAC base station and the RIS mounted on a UAV. The proposed solution maximizes the secrecy rate while ensuring radar detection requirements are met, addressing the challenges posed by non-convex optimization problems. The simulation results demonstrate that deploying RIS within ISAC systems significantly enhances system performance, particularly in terms of secure communication and radar detection, even in dynamic environments such as UAV networks. The proposed solution shows considerable improvements in secrecy rate and adaptability under varying conditions, underscoring the potential of RIS-assisted ISAC for future 6G networks.
{"title":"Joint beamforming for ris-assisted integrated sensing and secure communication in UAV networks","authors":"Sangmi Moon;Huaping Liu;Intae Hwang","doi":"10.23919/JCN.2024.000051","DOIUrl":"https://doi.org/10.23919/JCN.2024.000051","url":null,"abstract":"Integrated sensing and communication (ISAC) has attracted interest as a potential technology for 6G networks because it efficiently combines sensing and communication functions while utilizing shared spectrum resources. ISAC systems use reconfigurable intelligent surfaces (RISs) to dynamically control propagation environments, improving signal quality and coverage in challenging environments for unmanned aerial vehicle (UAV) networks. In this study, we propose a novel solution for joint beamforming in RIS-assisted ISAC systems within UAV networks. By leveraging a deep reinforcement learning (DRL) framework, we aim to optimize beamforming at both the ISAC base station and the RIS mounted on a UAV. The proposed solution maximizes the secrecy rate while ensuring radar detection requirements are met, addressing the challenges posed by non-convex optimization problems. The simulation results demonstrate that deploying RIS within ISAC systems significantly enhances system performance, particularly in terms of secure communication and radar detection, even in dynamic environments such as UAV networks. The proposed solution shows considerable improvements in secrecy rate and adaptability under varying conditions, underscoring the potential of RIS-assisted ISAC for future 6G networks.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"502-508"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600415","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 : 2024-10-01DOI: 10.23919/JCN.2024.000056
Jimin Yang;Jongkwan Lee;Jaesung Lim
There has been a recent increase in the studies on integrated sensing and communication (ISAC) technology within unmanned aerial vehicles (UAVs). In our paper, we propose a UAV base station (BS) localization method under aerial global positioning system (GPS) jammed environments, where the UAV-BS simultaneously provides communication service to user equipments (UEs) on ground. Unaffected UEs are utilized as reference anchor nodes to position UAV-BS to a near optimal location. Studying UAV deployment in environments where GPS access in unavailable is crucial due to the susceptibility of UAVs to GPS jamming, which poses a potential risk of inaccuracy for ISAC systems. We jointly optimize UAV-BS communication performance and localization accuracy in terms of transmission power, root mean square error (RMSE), and position dilution of precision (PDOP). Further, we introduce three different algorithms to select the optimal set of reference nodes for accurate UAV-BS localization. Nodes are selected based on relative UE positions and different geometric configurations they form. Simulation is conducted for different UE distribution scenarios and results confirm that our proposed scheme can optimize the communication power and localization performance of UAV-BS under different PDOP constraints.
{"title":"Joint placement and communication optimization of uav base stations in GPS-denied environments","authors":"Jimin Yang;Jongkwan Lee;Jaesung Lim","doi":"10.23919/JCN.2024.000056","DOIUrl":"https://doi.org/10.23919/JCN.2024.000056","url":null,"abstract":"There has been a recent increase in the studies on integrated sensing and communication (ISAC) technology within unmanned aerial vehicles (UAVs). In our paper, we propose a UAV base station (BS) localization method under aerial global positioning system (GPS) jammed environments, where the UAV-BS simultaneously provides communication service to user equipments (UEs) on ground. Unaffected UEs are utilized as reference anchor nodes to position UAV-BS to a near optimal location. Studying UAV deployment in environments where GPS access in unavailable is crucial due to the susceptibility of UAVs to GPS jamming, which poses a potential risk of inaccuracy for ISAC systems. We jointly optimize UAV-BS communication performance and localization accuracy in terms of transmission power, root mean square error (RMSE), and position dilution of precision (PDOP). Further, we introduce three different algorithms to select the optimal set of reference nodes for accurate UAV-BS localization. Nodes are selected based on relative UE positions and different geometric configurations they form. Simulation is conducted for different UE distribution scenarios and results confirm that our proposed scheme can optimize the communication power and localization performance of UAV-BS under different PDOP constraints.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"490-501"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600418","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 : 2024-10-01DOI: 10.23919/JCN.2024.000058
{"title":"Call for paper","authors":"","doi":"10.23919/JCN.2024.000058","DOIUrl":"https://doi.org/10.23919/JCN.2024.000058","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"1-1"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748593","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600246","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 : 2024-10-01DOI: 10.23919/JCN.2024.000057
Jingchun Zhang;Gang Wang;Hongjuan Yang;Bowen Liu;Bo Li
The rapid development of marine science and technology, coupled with the growing needs of offshore operations, underscores the significance of studying offshore communication networks. This study addressed the communication and perception challenges posed by the complexity and variability of the marine environment and the mobility of ships, aiming to improve the performance of offshore operations. Through the construction of an integrated ship-based station model at the power level and comprehensive data validation and simulation analyses, this study revealed a linear relationship between the signal-to-noise ratio (SCNR) and the probability of detection, indicating that the probability of detection positively correlated with the SCNR. In practical multi-user scenarios, the shipborne ISAC base station needed to make a trade-off between communication and sensing functions to meet different SCNR requirements. By optimising the trajectory and power allocation of shipborne ISAC, this study successfully improved the communication rate and sensing performance, which further enhances the efficiency and safety of marine operations. The findings of this study were of great significance to the advancement of marine science and technology, laying a solid foundation for further research and the application of maritime communication networks.
{"title":"Multi-user maritime integrated sensing and communication resource allocation in auxiliary communication scenarios","authors":"Jingchun Zhang;Gang Wang;Hongjuan Yang;Bowen Liu;Bo Li","doi":"10.23919/JCN.2024.000057","DOIUrl":"https://doi.org/10.23919/JCN.2024.000057","url":null,"abstract":"The rapid development of marine science and technology, coupled with the growing needs of offshore operations, underscores the significance of studying offshore communication networks. This study addressed the communication and perception challenges posed by the complexity and variability of the marine environment and the mobility of ships, aiming to improve the performance of offshore operations. Through the construction of an integrated ship-based station model at the power level and comprehensive data validation and simulation analyses, this study revealed a linear relationship between the signal-to-noise ratio (SCNR) and the probability of detection, indicating that the probability of detection positively correlated with the SCNR. In practical multi-user scenarios, the shipborne ISAC base station needed to make a trade-off between communication and sensing functions to meet different SCNR requirements. By optimising the trajectory and power allocation of shipborne ISAC, this study successfully improved the communication rate and sensing performance, which further enhances the efficiency and safety of marine operations. The findings of this study were of great significance to the advancement of marine science and technology, laying a solid foundation for further research and the application of maritime communication networks.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"566-576"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600164","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 : 2024-10-01DOI: 10.23919/JCN.2024.000049
Freddy Y. P. Feng;Suk Chan Kim;Ziming He;Feng Chen;Chen Lu;Sami Muhaidat
Integrated wireless communications and radar detections have so far mainly relied on phased-array (PA) antennas with only considering the beampatterns in angle domain. In this paper, by taking advantage of frequency diverse array (FDA), which can generate beampatterns in angle, range and time domains, we propose a novel finite orthogonal random FDA, whose beampatterns feature periodical pulses in time or range domain. By applying this technology into radar and communications (RadComm) systems, a compact dual-functional structure of joint PA and FDA is designed. With the proposed novel structure, the common information, such as channel status information and direction-of-arrival can be easily shared for both PA communications and FDA radar. Based on the built joint PA and FDA channel models, different beamformer designs are proposed by jointly optimizing the signal-to-interference- noises of the communications and radar. In addition, we robustify the proposed method by considering the case of channel estimation imprecision. Numerical simulations demonstrate the performances of both communications and the radar with the proposed approaches are over than that of the conventional PA RadComm systems.
迄今为止，集成无线通信和雷达探测主要依赖相控阵（PA）天线，只考虑角度域的信号。在本文中，我们利用频率多样化阵列（FDA）可在角度、范围和时间域生成信号的优势，提出了一种新型有限正交随机 FDA，其信号在时间域或范围域具有周期性脉冲特征。通过将这一技术应用于雷达和通信（RadComm）系统，我们设计出了一种由功率放大器和 FDA 共同组成的紧凑型双功能结构。利用所提出的新型结构，PA 通信和 FDA 雷达可以轻松共享共同信息，如信道状态信息和到达方向信息。根据建立的联合 PA 和 FDA 信道模型，通过联合优化通信和雷达的信噪比，提出了不同的波束成形器设计。此外，我们还考虑了信道估计不精确的情况，对所提出的方法进行了稳健化处理。数值模拟表明，采用所提方法的通信和雷达性能均优于传统的 PA RadComm 系统。
{"title":"Joint PA and FDA beamforming for radar-communications systems","authors":"Freddy Y. P. Feng;Suk Chan Kim;Ziming He;Feng Chen;Chen Lu;Sami Muhaidat","doi":"10.23919/JCN.2024.000049","DOIUrl":"https://doi.org/10.23919/JCN.2024.000049","url":null,"abstract":"Integrated wireless communications and radar detections have so far mainly relied on phased-array (PA) antennas with only considering the beampatterns in angle domain. In this paper, by taking advantage of frequency diverse array (FDA), which can generate beampatterns in angle, range and time domains, we propose a novel finite orthogonal random FDA, whose beampatterns feature periodical pulses in time or range domain. By applying this technology into radar and communications (RadComm) systems, a compact dual-functional structure of joint PA and FDA is designed. With the proposed novel structure, the common information, such as channel status information and direction-of-arrival can be easily shared for both PA communications and FDA radar. Based on the built joint PA and FDA channel models, different beamformer designs are proposed by jointly optimizing the signal-to-interference- noises of the communications and radar. In addition, we robustify the proposed method by considering the case of channel estimation imprecision. Numerical simulations demonstrate the performances of both communications and the radar with the proposed approaches are over than that of the conventional PA RadComm systems.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"554-565"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748579","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600183","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 : 2024-10-01DOI: 10.23919/JCN.2024.000041
Honglin Wang;Dasong Sun;Caiyun Sun;Cheng Zhu
Integrated sensing and communication (ISAC) is one of the key technologies in the sixth-generation (6G) wireless communication network. Unmanned aerial vehicles (UAVs) are essential for their flexible deployment, wide coverage, and high mobility. However, these attributes pose challenges for channel research. This paper presents a novel physical communication model for 6G ISAC in multiple-input multiple-output (MIMO) air-to-ground wireless channels. Here, the direct propagation link between the UAV transmitter and vehicle receiver is obstructed by buildings, hindering successful signal transmission. To address this, we propose employing double intelligent reflecting surfaces (IRSs) to assist signal transmission, forming the propagation links with either double or single IRSs along with the non-line-of-sight (NLoS) path. We investigate the complex channel impulse responses (CIRs) of these links considering multipath effects and derive the complete channel matrix. Additionally, we analyze the statistical properties of the communication model across various parameters. Leveraging these derivations, we illustrate the propagation characteristics of the MIMO UAV-to-vehicle communication model empowered by double IRSs. Simulation results highlight the superior channel characteristics of double- IRSs compared to single-IRSs, underscoring the significance of integrating double IRSs into the UAV-to-vehicle channel model.
综合传感与通信（ISAC）是第六代（6G）无线通信网络的关键技术之一。无人飞行器（UAV）因其部署灵活、覆盖范围广和高机动性而至关重要。然而，这些特性给信道研究带来了挑战。本文针对多输入多输出（MIMO）空对地无线信道中的 6G ISAC 提出了一种新型物理通信模型。在这种情况下，无人机发射器和飞行器接收器之间的直接传播链路会受到建筑物的阻挡，从而阻碍信号的成功传输。为解决这一问题，我们建议采用双智能反射面（IRS）来辅助信号传输，通过双或单 IRS 与非视线（NLoS）路径形成传播链路。考虑到多径效应，我们研究了这些链路的复杂信道脉冲响应（CIR），并推导出完整的信道矩阵。此外，我们还分析了不同参数下通信模型的统计特性。利用这些推导，我们说明了由双 IRS 支持的 MIMO 无人机到车辆通信模型的传播特性。仿真结果表明，与单IRS相比，双IRS具有更优越的信道特性，强调了将双IRS集成到无人机到车辆信道模型中的重要性。
{"title":"A physical air-to-ground modeling method with dynamic investigations for integrated sensing and communication","authors":"Honglin Wang;Dasong Sun;Caiyun Sun;Cheng Zhu","doi":"10.23919/JCN.2024.000041","DOIUrl":"https://doi.org/10.23919/JCN.2024.000041","url":null,"abstract":"Integrated sensing and communication (ISAC) is one of the key technologies in the sixth-generation (6G) wireless communication network. Unmanned aerial vehicles (UAVs) are essential for their flexible deployment, wide coverage, and high mobility. However, these attributes pose challenges for channel research. This paper presents a novel physical communication model for 6G ISAC in multiple-input multiple-output (MIMO) air-to-ground wireless channels. Here, the direct propagation link between the UAV transmitter and vehicle receiver is obstructed by buildings, hindering successful signal transmission. To address this, we propose employing double intelligent reflecting surfaces (IRSs) to assist signal transmission, forming the propagation links with either double or single IRSs along with the non-line-of-sight (NLoS) path. We investigate the complex channel impulse responses (CIRs) of these links considering multipath effects and derive the complete channel matrix. Additionally, we analyze the statistical properties of the communication model across various parameters. Leveraging these derivations, we illustrate the propagation characteristics of the MIMO UAV-to-vehicle communication model empowered by double IRSs. Simulation results highlight the superior channel characteristics of double- IRSs compared to single-IRSs, underscoring the significance of integrating double IRSs into the UAV-to-vehicle channel model.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"509-520"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748578","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600426","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 : 2024-10-01DOI: 10.23919/JCN.2024.000055
Haojin Li;Hongjun Wang;Zhexian Shen;Yingchun Shi
In view of the fact that electromagnetic maps can be used to depict the distribution of electromagnetic spectrum in detail, and to support electromagnetic spectrum analysis and management, as well as network design and optimization, this paper studies an intelligent reconstruction algorithm of electromagnetic map based on propagation model in the application field scenario of integrated sensing and communication (ISAC) technology. Firstly, the propagation model is used to model the variogram function, and then the improved particle swarm optimization algorithm is used to solve the expression of the variogram function, and the semi-variovariation values of the points to be estimated and the sampling points are obtained according to the variogram function. Then, the spatial interpolation method combined with the semi-variant value is used to estimate the estimated points, and finally the reconstructed electromagnetic map is obtained. Experimental simulation and comparison prove the effectiveness and advancement of the proposed algorithm.
{"title":"Intelligent reconstruction algorithm of electromagnetic map based on propagation model","authors":"Haojin Li;Hongjun Wang;Zhexian Shen;Yingchun Shi","doi":"10.23919/JCN.2024.000055","DOIUrl":"https://doi.org/10.23919/JCN.2024.000055","url":null,"abstract":"In view of the fact that electromagnetic maps can be used to depict the distribution of electromagnetic spectrum in detail, and to support electromagnetic spectrum analysis and management, as well as network design and optimization, this paper studies an intelligent reconstruction algorithm of electromagnetic map based on propagation model in the application field scenario of integrated sensing and communication (ISAC) technology. Firstly, the propagation model is used to model the variogram function, and then the improved particle swarm optimization algorithm is used to solve the expression of the variogram function, and the semi-variovariation values of the points to be estimated and the sampling points are obtained according to the variogram function. Then, the spatial interpolation method combined with the semi-variant value is used to estimate the estimated points, and finally the reconstructed electromagnetic map is obtained. Experimental simulation and comparison prove the effectiveness and advancement of the proposed algorithm.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"533-544"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748590","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600427","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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