Pub Date : 2024-12-01DOI: 10.23919/JCN.2024.000070
Haogang Feng;Haiyu Xiao;Shida Zhong;Zhuqing Gao;Tao Yuan;Zhi Quan
With the continuous evolution of 5G communication technology to B5G and the next generation of communication technology, Deep Learning technology will also lead the automation and intelligent transformation of communication systems. Existing research has shown that the combination of deep learning and communication technology is expected to break some performance bottlenecks of traditional communication algorithms and solutions. This paper explores the application of deep learning (DL) in polar decoding algorithms, proposing a DL-aided-FSC (DL-FSC) polar code decoder algorithm. For the DL-FSC decoding algorithm, the conventional successive cancellation (SC) decoder is partitioned into multiple sub-blocks, which are replaced by R0 nodes, R1 nodes and sub-DL decoder. The log-likelihood ratio (LLR) and frozen bit pattern are input to the sub-DL decoder to predict decode codewords under any decoding code rate. Through simulation verification, under the PBCH channel of 5G communication, the DL-FSC decoder achieves similar block error rate (BLER) performance to the SC decoder, even improving by about 1%. In order to verify the performance optimization effect of the proposed algorithm at the hardware level, the DL-FSC deocder circuit design was completed. Through FPGA synthesis, the proposed decoder achieves a throughput of about 4571 Mbps, which is 1.71× improvement in decoding throughput at the expense of increased logic resources.
{"title":"Deep-learning-aided fast successive cancellation decoding of polar codes","authors":"Haogang Feng;Haiyu Xiao;Shida Zhong;Zhuqing Gao;Tao Yuan;Zhi Quan","doi":"10.23919/JCN.2024.000070","DOIUrl":"https://doi.org/10.23919/JCN.2024.000070","url":null,"abstract":"With the continuous evolution of 5G communication technology to B5G and the next generation of communication technology, Deep Learning technology will also lead the automation and intelligent transformation of communication systems. Existing research has shown that the combination of deep learning and communication technology is expected to break some performance bottlenecks of traditional communication algorithms and solutions. This paper explores the application of deep learning (DL) in polar decoding algorithms, proposing a DL-aided-FSC (DL-FSC) polar code decoder algorithm. For the DL-FSC decoding algorithm, the conventional successive cancellation (SC) decoder is partitioned into multiple sub-blocks, which are replaced by R0 nodes, R1 nodes and sub-DL decoder. The log-likelihood ratio (LLR) and frozen bit pattern are input to the sub-DL decoder to predict decode codewords under any decoding code rate. Through simulation verification, under the PBCH channel of 5G communication, the DL-FSC decoder achieves similar block error rate (BLER) performance to the SC decoder, even improving by about 1%. In order to verify the performance optimization effect of the proposed algorithm at the hardware level, the DL-FSC deocder circuit design was completed. Through FPGA synthesis, the proposed decoder achieves a throughput of about 4571 Mbps, which is 1.71× improvement in decoding throughput at the expense of increased logic resources.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 6","pages":"593-602"},"PeriodicalIF":2.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10834493","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938133","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 : 2024-11-20DOI: 10.23919/JCN.2024.000050
Benedetta Picano;Romano Fantacci
Nowadays, the functional integration of digital twin (DT) technology and artificial intelligence (AI) methodologies has enabled reliable predictions of many random processes, supporting efficient control and optimization procedures. In line with this trend, this paper explores the joint use of these technologies in an AI-empowered DT framework for an unmanned aerial vehicle-aided multi-access edge computing (UAV-MEC) system. Specifically, this approach defines an intelligent UAV-MEC system capable of significantly improving service quality and deployment flexibility. The focus is on a UAV-MEC network consisting of multiple elementary service areas, where DTs efficiently orchestrate and reduce congestion levels by utilizing UAVs with onboard processing capabilities. A potential architecture for the DTs is outlined, conceptualizing each DT as a collection of basic cyber entities. Additionally, a suitable framework utilizing a matching game approach is proposed to effectively manage task offloading, channel allocation, and the dynamic assignment of UAV support to congested service zones within the same area. Finally, comprehensive simulation results validate the efficacy of the proposed intelligent UAV-MEC system, as indicated by metrics such as task completion delay and accuracy in congestion prediction.
{"title":"Efficient task offloading and resource allocation in an intelligent UAV-MEC system","authors":"Benedetta Picano;Romano Fantacci","doi":"10.23919/JCN.2024.000050","DOIUrl":"https://doi.org/10.23919/JCN.2024.000050","url":null,"abstract":"Nowadays, the functional integration of digital twin (DT) technology and artificial intelligence (AI) methodologies has enabled reliable predictions of many random processes, supporting efficient control and optimization procedures. In line with this trend, this paper explores the joint use of these technologies in an AI-empowered DT framework for an unmanned aerial vehicle-aided multi-access edge computing (UAV-MEC) system. Specifically, this approach defines an intelligent UAV-MEC system capable of significantly improving service quality and deployment flexibility. The focus is on a UAV-MEC network consisting of multiple elementary service areas, where DTs efficiently orchestrate and reduce congestion levels by utilizing UAVs with onboard processing capabilities. A potential architecture for the DTs is outlined, conceptualizing each DT as a collection of basic cyber entities. Additionally, a suitable framework utilizing a matching game approach is proposed to effectively manage task offloading, channel allocation, and the dynamic assignment of UAV support to congested service zones within the same area. Finally, comprehensive simulation results validate the efficacy of the proposed intelligent UAV-MEC system, as indicated by metrics such as task completion delay and accuracy in congestion prediction.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 6","pages":"666-678"},"PeriodicalIF":2.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10759571","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937882","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 : 2024-11-20DOI: 10.23919/JCN.2024.000025
Alberto Tarable;Francisco J. Escribano
Phase noise (PN) is a major disturbance in MIMO systems, where the contribution of different oscillators at the transmitter and the receiver side may degrade the overall performance and offset the gains offered by MIMO techniques. This is even more crucial in the case of massive MIMO, since the number of PN sources may increase considerably. In this work, we propose an iterative receiver based on the application of the expectation-maximization algorithm. We consider a massive MIMO framework with a general association of oscillators to antennas, and include other channel disturbances like imperfect channel state information and Rician block fading. At each receiver iteration, given the information on the transmitted symbols, steepest descent is used to estimate the PN samples, with an optimized adaptive step size and a threshold-based stopping rule. The results obtained for several test cases show how the bit error rate and mean square error can benefit from the proposed phase-detection algorithm, even to the point of reaching the same performance as in the case where no PN is present, offering better results than a state-of-the-art alternative. Further analysis of the results allow to draw some useful trade-offs respecting final performance and consumption of resources.
{"title":"Compensation of phase noise in massive-MIMO uplink communications based on expectation-maximization algorithm","authors":"Alberto Tarable;Francisco J. Escribano","doi":"10.23919/JCN.2024.000025","DOIUrl":"https://doi.org/10.23919/JCN.2024.000025","url":null,"abstract":"Phase noise (PN) is a major disturbance in MIMO systems, where the contribution of different oscillators at the transmitter and the receiver side may degrade the overall performance and offset the gains offered by MIMO techniques. This is even more crucial in the case of massive MIMO, since the number of PN sources may increase considerably. In this work, we propose an iterative receiver based on the application of the expectation-maximization algorithm. We consider a massive MIMO framework with a general association of oscillators to antennas, and include other channel disturbances like imperfect channel state information and Rician block fading. At each receiver iteration, given the information on the transmitted symbols, steepest descent is used to estimate the PN samples, with an optimized adaptive step size and a threshold-based stopping rule. The results obtained for several test cases show how the bit error rate and mean square error can benefit from the proposed phase-detection algorithm, even to the point of reaching the same performance as in the case where no PN is present, offering better results than a state-of-the-art alternative. Further analysis of the results allow to draw some useful trade-offs respecting final performance and consumption of resources.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 6","pages":"603-616"},"PeriodicalIF":2.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10759570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938134","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.2024.000061
{"title":"copyright transferform","authors":"","doi":"10.23919/JCN.2024.000061","DOIUrl":"https://doi.org/10.23919/JCN.2024.000061","url":null,"abstract":"","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"1-3"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600147","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.2024.000048
Jin Kwan Kim;Yunjoong Park;Joon Young Kim
The integrated sensing and communications (ISAC) system has become a promising scheme for combining sensing and communication features to send data and sense the physical space concurrently. Although it aims to understand the channel condition and communication environment with sensing capability, it still requires sustainable high-data transmission with efficient spectrum usage. The in-band full-duplex (IBFD) system can be a possible solution to support high data transmission while increasing spectrum efficiency. Since IBFD has a self-interference issue, one of the significant factors that deteriorate its performance, we need to investigate possible solutions to resolve this matter. In this paper, we present an improved self-interference cancellation receiver with successive interference cancellation (SIC)-based channel estimation for the IBFD system. Since SIC aims to mitigate the multiple interference effects, our proposed algorithm applied SIC to the channel estimation for the performance gain. Our results show that SI cancellation with SIC-based channel estimation improves the IBFD bit error rate (BER) of the new radio (NR) for the ISAC system.
综合传感与通信（ISAC）系统已成为将传感与通信功能相结合的一种前景广阔的方案，可同时发送数据和感知物理空间。虽然它的目的是利用传感能力了解信道状况和通信环境，但它仍然需要可持续的高数据传输和有效的频谱利用。带内全双工（IBFD）系统是在提高频谱效率的同时支持高数据传输的一种可行解决方案。由于 IBFD 存在自干扰问题，这也是影响其性能的重要因素之一，因此我们需要研究可行的解决方案来解决这一问题。在本文中，我们为 IBFD 系统提出了一种基于连续干扰消除（SIC）信道估计的改进型自干扰消除接收器。由于 SIC 的目的是减轻多重干扰效应，我们提出的算法将 SIC 应用于信道估计以提高性能。我们的研究结果表明，基于 SIC 的信道估计的自干扰消除提高了 ISAC 系统中新无线电（NR）的 IBFD 误码率（BER）。
{"title":"Successive interference cancellation-based channel estimation for self-interference cancellation in in-band full-duplex systems","authors":"Jin Kwan Kim;Yunjoong Park;Joon Young Kim","doi":"10.23919/JCN.2024.000048","DOIUrl":"https://doi.org/10.23919/JCN.2024.000048","url":null,"abstract":"The integrated sensing and communications (ISAC) system has become a promising scheme for combining sensing and communication features to send data and sense the physical space concurrently. Although it aims to understand the channel condition and communication environment with sensing capability, it still requires sustainable high-data transmission with efficient spectrum usage. The in-band full-duplex (IBFD) system can be a possible solution to support high data transmission while increasing spectrum efficiency. Since IBFD has a self-interference issue, one of the significant factors that deteriorate its performance, we need to investigate possible solutions to resolve this matter. In this paper, we present an improved self-interference cancellation receiver with successive interference cancellation (SIC)-based channel estimation for the IBFD system. Since SIC aims to mitigate the multiple interference effects, our proposed algorithm applied SIC to the channel estimation for the performance gain. Our results show that SI cancellation with SIC-based channel estimation improves the IBFD bit error rate (BER) of the new radio (NR) for the ISAC system.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"26 5","pages":"521-532"},"PeriodicalIF":2.9,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748583","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600163","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}
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}
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