Pub Date : 2024-10-01DOI: 10.1016/j.icte.2024.07.005
This paper presents critical surveillance system functions and considers advances and challenges for privacy and ethical implications. We examine privacy protection strategies and responsible data management practices reflecting the critical problems of cybersecurity and data management to address concerns, ensuring that surveillance technology evolves ethically and sustainably. We highlight state-of-the-art deep learning-based techniques in object detection, addressing the complex difficulties of surveillance systems. Finally, we provide a research framework, including ethical and long-term implications and broad applications in privacy preservation and ethical responsibility. This study advances knowledge to ensure the long-term sustainability, security, and viability of information and communication technology applications.
{"title":"Object detection under the lens of privacy: A critical survey of methods, challenges, and future directions","authors":"","doi":"10.1016/j.icte.2024.07.005","DOIUrl":"10.1016/j.icte.2024.07.005","url":null,"abstract":"<div><div>This paper presents critical surveillance system functions and considers advances and challenges for privacy and ethical implications. We examine privacy protection strategies and responsible data management practices reflecting the critical problems of cybersecurity and data management to address concerns, ensuring that surveillance technology evolves ethically and sustainably. We highlight state-of-the-art deep learning-based techniques in object detection, addressing the complex difficulties of surveillance systems. Finally, we provide a research framework, including ethical and long-term implications and broad applications in privacy preservation and ethical responsibility. This study advances knowledge to ensure the long-term sustainability, security, and viability of information and communication technology applications.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433175","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: 10.1016/j.icte.2024.04.003
The high-frequency band, crucial for supporting the 5G/6G system, faces challenges of signal obstruction by obstacles. This is attributed to significant path loss resulting from radio straightness and short radio distance. To address these challenges, there is a growing interest in leveraging non-terrestrial networks (NTNs) and reconfigurable intelligent surfaces (RISs), utilizing high-altitude satellites as base stations or terminals. Within a three-dimensional NTN system, the vulnerability of wireless signals to eavesdropping due to the open nature of the environment is a notable drawback. To mitigate this vulnerability, this paper introduces an algorithm designed to maximize the secrecy rate. The proposed algorithm optimizes security performance by fine-tuning the base station and RIS beamforming vectors. This optimization is achieved through successive convex approximation and minorization–maximization algorithms. Simulation results affirm the superiority of the proposed algorithm in terms of secrecy rate over existing techniques.
{"title":"RIS-aided double beamforming optimization algorithm for improving secrecy rate in space–ground integrated networks","authors":"","doi":"10.1016/j.icte.2024.04.003","DOIUrl":"10.1016/j.icte.2024.04.003","url":null,"abstract":"<div><div>The high-frequency band, crucial for supporting the 5G/6G system, faces challenges of signal obstruction by obstacles. This is attributed to significant path loss resulting from radio straightness and short radio distance. To address these challenges, there is a growing interest in leveraging non-terrestrial networks (NTNs) and reconfigurable intelligent surfaces (RISs), utilizing high-altitude satellites as base stations or terminals. Within a three-dimensional NTN system, the vulnerability of wireless signals to eavesdropping due to the open nature of the environment is a notable drawback. To mitigate this vulnerability, this paper introduces an algorithm designed to maximize the secrecy rate. The proposed algorithm optimizes security performance by fine-tuning the base station and RIS beamforming vectors. This optimization is achieved through successive convex approximation and minorization–maximization algorithms. Simulation results affirm the superiority of the proposed algorithm in terms of secrecy rate over existing techniques.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140763047","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: 10.1016/j.icte.2024.06.005
The Age-of-Information (AoI) metric has emerged as a performance measurement metric for evaluating time-sensitive wireless communications systems. Maintaining the freshness and reliability of data is critical in time-critical wireless networks, where outdated information can have significant consequences. Moreover, short packet transmissions are used in wireless sensor networks (WSNs) to maintain energy efficiency and low latency. This paper proposes a theoretical model that utilizes the AoI metric and finite block length information theory to estimate information freshness in an unmanned aerial vehicle (UAV)-assisted WSN. This network includes multiple sensing nodes and relies on short-packet communication for transmission. In this paper, closed-form expressions for average AoI (AAoI) and the block error rate are derived. Furthermore, the optimal altitude and block length that ensures the freshness of received information at the destination is determined. The results of the analysis provide valuable insights into the performance characteristics of UAV-assisted WSNs and have important implications for the design and optimization of such systems.
{"title":"Freshness-in-air: An AoI-inspired UAV-assisted wireless sensor networks","authors":"","doi":"10.1016/j.icte.2024.06.005","DOIUrl":"10.1016/j.icte.2024.06.005","url":null,"abstract":"<div><div>The Age-of-Information (AoI) metric has emerged as a performance measurement metric for evaluating time-sensitive wireless communications systems. Maintaining the freshness and reliability of data is critical in time-critical wireless networks, where outdated information can have significant consequences. Moreover, short packet transmissions are used in wireless sensor networks (WSNs) to maintain energy efficiency and low latency. This paper proposes a theoretical model that utilizes the AoI metric and finite block length information theory to estimate information freshness in an unmanned aerial vehicle (UAV)-assisted WSN. This network includes multiple sensing nodes and relies on short-packet communication for transmission. In this paper, closed-form expressions for average AoI (AAoI) and the block error rate are derived. Furthermore, the optimal altitude and block length that ensures the freshness of received information at the destination is determined. The results of the analysis provide valuable insights into the performance characteristics of UAV-assisted WSNs and have important implications for the design and optimization of such systems.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141691213","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: 10.1016/j.icte.2024.07.009
Herein, we present a secure multiplication method that uses secret sharing to solve the security problems presented by Watanabe et al. We implemented the characteristics of the exponent operation in which the product of two numbers with the same base (in this case, the primitive element) involves only the addition of their exponents. In contrast to typical secret sharing schemes, our proposed model requires two shares to be sent to each server simultaneously to achieve multiplication without increasing the number of servers required, thereby resulting in a lower cost of establishing a physical server. In addition, Shannon’s entropy function was used to describe the security of the proposed method. Finally, we evaluated our proposed method in terms of computational and communication costs.
{"title":"Improved protocols for secure multiplication using secret sharing scheme","authors":"","doi":"10.1016/j.icte.2024.07.009","DOIUrl":"10.1016/j.icte.2024.07.009","url":null,"abstract":"<div><div>Herein, we present a secure multiplication method that uses secret sharing to solve the security problems presented by Watanabe et al. We implemented the characteristics of the exponent operation in which the product of two numbers with the same base (in this case, the primitive element) involves only the addition of their exponents. In contrast to typical secret sharing schemes, our proposed model requires two shares to be sent to each server simultaneously to achieve multiplication without increasing the number of servers required, thereby resulting in a lower cost of establishing a physical server. In addition, Shannon’s entropy function was used to describe the security of the proposed method. Finally, we evaluated our proposed method in terms of computational and communication costs.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433143","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: 10.1016/j.icte.2024.07.006
We implement a prototype of the underwater optical wireless communication (UOWC) system, incorporating an adaptive optical beam alignment mechanism to ensure the seamless alignment of the optical beam between the transmitter and receiver. In this system, the transmitter, utilizing a laser diode as an optical source, leverages the camera’s object recognition capability to ascertain the position of the receiver, which may experience movement and shaking due to various external factors. However, the underwater condition poses challenges to camera visibility. To address this issue, a green light-emitting diode (LED) is installed on the receiver to make it easier for the transmitter to locate the position of the receiver within the camera image. The detected LED position is converted into angular data, enabling the operation of a servo motor to adjust the transmitter’s beam pointing, via a 2-axis servo motor pan–tilt system. Moreover, in the proposed UOWC prototype system, we employ the timer interrupt algorithm integrated with a real-time operating system and the direct register access method for general-purpose input/output on the NVIDIA Jetson Nano. This strategic combination facilitates the reduction of errors within the timer interval cycle between the transmitter and receiver, optimizing communication reliability through precise control of timer interrupts. To assess the system’s performance, extensive experimental tests are conducted in a large water tank.
{"title":"Design and implementation of underwater optical wireless communication prototype system supporting automatic beam alignment","authors":"","doi":"10.1016/j.icte.2024.07.006","DOIUrl":"10.1016/j.icte.2024.07.006","url":null,"abstract":"<div><div>We implement a prototype of the underwater optical wireless communication (UOWC) system, incorporating an adaptive optical beam alignment mechanism to ensure the seamless alignment of the optical beam between the transmitter and receiver. In this system, the transmitter, utilizing a laser diode as an optical source, leverages the camera’s object recognition capability to ascertain the position of the receiver, which may experience movement and shaking due to various external factors. However, the underwater condition poses challenges to camera visibility. To address this issue, a green light-emitting diode (LED) is installed on the receiver to make it easier for the transmitter to locate the position of the receiver within the camera image. The detected LED position is converted into angular data, enabling the operation of a servo motor to adjust the transmitter’s beam pointing, via a 2-axis servo motor pan–tilt system. Moreover, in the proposed UOWC prototype system, we employ the timer interrupt algorithm integrated with a real-time operating system and the direct register access method for general-purpose input/output on the NVIDIA Jetson Nano. This strategic combination facilitates the reduction of errors within the timer interval cycle between the transmitter and receiver, optimizing communication reliability through precise control of timer interrupts. To assess the system’s performance, extensive experimental tests are conducted in a large water tank.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433145","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: 10.1016/j.icte.2024.08.004
Application Performance Monitoring (APM) is key for ensuring computer systems perform well. While most APM tools target servers and networking infrastructure, here we focus on APM for devices with strict resource constraints: extremely limited in terms of power, memory and bandwidth. We tailor this article to be both a survey and a tutorial. In the survey part, we investigate APM approaches for low-power wireless networks, with a particular focus on Time Synchronized Channel Hopping solutions, as they are well-suited for critical industrial applications. We survey performance metrics characterizing the network health condition and show how, to capture the health of a network universally, it is important to constantly monitor hardware-related, network-related and network-wide metrics. We present a collection of metrics that serves as a checklist for the design of an APM system, describe related work on APM concepts suitable for low-power wireless system, and provide core concepts for collecting, exporting and processing performance metrics. The tutorial part consists of a hands-on example of running commercial APM and networking solutions. We use the active APM framework from Memfault, which periodically creates heartbeats including the performance metrics. We run this framework on top of the SmartMesh IP protocol stack, a commercial product by Analog Devices that offers wired-like high reliability and a decade of battery lifetime, and integrate it with the Zephyr operating systems. This tutorial allows the readership to experiment with a complete ready-to-deploy mote-to-cloud APM chain.
{"title":"Monitoring performance metrics in low-power wireless systems","authors":"","doi":"10.1016/j.icte.2024.08.004","DOIUrl":"10.1016/j.icte.2024.08.004","url":null,"abstract":"<div><div>Application Performance Monitoring (APM) is key for ensuring computer systems perform well. While most APM tools target servers and networking infrastructure, here we focus on APM for devices with strict resource constraints: extremely limited in terms of power, memory and bandwidth. We tailor this article to be both a survey and a tutorial. In the survey part, we investigate APM approaches for low-power wireless networks, with a particular focus on Time Synchronized Channel Hopping solutions, as they are well-suited for critical industrial applications. We survey performance metrics characterizing the network health condition and show how, to capture the health of a network universally, it is important to constantly monitor hardware-related, network-related and network-wide metrics. We present a collection of metrics that serves as a checklist for the design of an APM system, describe related work on APM concepts suitable for low-power wireless system, and provide core concepts for collecting, exporting and processing performance metrics. The tutorial part consists of a hands-on example of running commercial APM and networking solutions. We use the active APM framework from <em>Memfault</em>, which periodically creates heartbeats including the performance metrics. We run this framework on top of the SmartMesh IP protocol stack, a commercial product by Analog Devices that offers wired-like high reliability and a decade of battery lifetime, and integrate it with the <em>Zephyr</em> operating systems. This tutorial allows the readership to experiment with a complete ready-to-deploy mote-to-cloud APM chain.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433142","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: 10.1016/j.icte.2024.04.013
Reconfigurable intelligent Surface (RIS) can effectively improve the communication quality and extend the signal coverage range by reconfiguring the wireless communication transmission environment, which is very suitable for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. In this paper, a product manifold optimization-based beamforming design (PMO-BD) algorithm for a RIS-assisted multi-user MIMO system is proposed to enhance fairness among users. We establish a lower bound for the minimum signal-to-interference-plus-noise ratio (SINR) among users as the optimization objective, which is subjected to multiple constraints. By maximizing the lower bound to ensure the quality of service (QoS) for each user, fairness among users get improved. The PMO-BD algorithm exploits the internal structure of the product manifold to deal with the high dimension and nonlinear characteristics of the problem effectively, thereby reducing algorithm complexity and enhancing convergence rates. Simulation results verify the advantages of the proposed PMO-BD algorithm in comparison to other algorithms.
可重构智能表面（RIS）通过重新配置无线通信传输环境，能有效提高通信质量，扩大信号覆盖范围，非常适合毫米波多输入多输出（MIMO）系统。本文提出了一种基于乘积流形优化的波束成形设计（PMO-BD）算法，用于 RIS 辅助的多用户 MIMO 系统，以增强用户间的公平性。我们建立了用户间最小信号干扰加噪声比（SINR）的下限作为优化目标，该目标受到多重约束。通过最大化下限来确保每个用户的服务质量（QoS），从而改善用户间的公平性。PMO-BD 算法利用了产品流形的内部结构，有效地处理了问题的高维度和非线性特征，从而降低了算法复杂度，提高了收敛速度。仿真结果验证了所提出的 PMO-BD 算法与其他算法相比的优势。
{"title":"Product manifold optimization-based joint beamforming for RIS-aided MIMO systems: A fairness based approach","authors":"","doi":"10.1016/j.icte.2024.04.013","DOIUrl":"10.1016/j.icte.2024.04.013","url":null,"abstract":"<div><div>Reconfigurable intelligent Surface (RIS) can effectively improve the communication quality and extend the signal coverage range by reconfiguring the wireless communication transmission environment, which is very suitable for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. In this paper, a product manifold optimization-based beamforming design (PMO-BD) algorithm for a RIS-assisted multi-user MIMO system is proposed to enhance fairness among users. We establish a lower bound for the minimum signal-to-interference-plus-noise ratio (SINR) among users as the optimization objective, which is subjected to multiple constraints. By maximizing the lower bound to ensure the quality of service (QoS) for each user, fairness among users get improved. The PMO-BD algorithm exploits the internal structure of the product manifold to deal with the high dimension and nonlinear characteristics of the problem effectively, thereby reducing algorithm complexity and enhancing convergence rates. Simulation results verify the advantages of the proposed PMO-BD algorithm in comparison to other algorithms.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141052738","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: 10.1016/j.icte.2024.06.007
The proliferation of mobile phones has led to the rise of mobile crowdsensing systems. However, many of these systems rely on the deep cloud, which can be complex and challenging to scale. To improve the performance of crowdsensing at the edge cloud, truth-discovery methods are commonly employed. These methods typically involve updating either the truth or the weight associated with a user’s task. While some edge cloud-based crowdsensing systems exist, they do not provide incentives to users based on their experience. In this report, we present a new approach to truth discovery and incentive-giving that considers both the user’s experience and the accuracy of their submitted data. Our modified truth-discovery algorithm updates both the weight and truth concurrently, with greater incentives offered to users who have completed more tasks and whose submitted data is close to the estimated truth. We have run simulations to show how well our suggested strategy works to enhance the incentive system for experienced users.
{"title":"Truth discovery for mobile workers in edge-assisted mobile crowdsensing","authors":"","doi":"10.1016/j.icte.2024.06.007","DOIUrl":"10.1016/j.icte.2024.06.007","url":null,"abstract":"<div><div>The proliferation of mobile phones has led to the rise of mobile crowdsensing systems. However, many of these systems rely on the deep cloud, which can be complex and challenging to scale. To improve the performance of crowdsensing at the edge cloud, truth-discovery methods are commonly employed. These methods typically involve updating either the truth or the weight associated with a user’s task. While some edge cloud-based crowdsensing systems exist, they do not provide incentives to users based on their experience. In this report, we present a new approach to truth discovery and incentive-giving that considers both the user’s experience and the accuracy of their submitted data. Our modified truth-discovery algorithm updates both the weight and truth concurrently, with greater incentives offered to users who have completed more tasks and whose submitted data is close to the estimated truth. We have run simulations to show how well our suggested strategy works to enhance the incentive system for experienced users.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141690732","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: 10.1016/j.icte.2024.08.003
The communication performance can be restricted by inevitable training overhead for acquiring channel state information (CSI). A space–time code (STC)-based cooperative communication scheme is proposed to reduce the training overhead by employing a two-antenna relay node (RN) that broadcasts merely two orthogonal pilot sequences from the two antennas to a source node (SN) and a destination node (DN). The received signal-to-noise ratio, the achievable rate, and the bit error rate are mathematically analyzed, and numerical results confirm that the proposed STC-based relay system increases the achievable rate irrespective of the number of antennas at SN and DN.
获取信道状态信息（CSI）的训练开销不可避免，从而限制了通信性能。本文提出了一种基于空时码（STC）的合作通信方案，该方案采用双天线中继节点（RN），仅从两个天线向源节点（SN）和目的节点（DN）广播两个正交先导序列，从而减少了训练开销。对接收信噪比、可实现速率和误码率进行了数学分析，数值结果证实，无论 SN 和 DN 的天线数量如何，拟议的基于 STC 的中继系统都能提高可实现速率。
{"title":"Efficient training and data transmission for cooperative MIMO communications: Space–time coding approach","authors":"","doi":"10.1016/j.icte.2024.08.003","DOIUrl":"10.1016/j.icte.2024.08.003","url":null,"abstract":"<div><div>The communication performance can be restricted by inevitable training overhead for acquiring channel state information (CSI). A space–time code (STC)-based cooperative communication scheme is proposed to reduce the training overhead by employing a two-antenna relay node (RN) that broadcasts merely two orthogonal pilot sequences from the two antennas to a source node (SN) and a destination node (DN). The received signal-to-noise ratio, the achievable rate, and the bit error rate are mathematically analyzed, and numerical results confirm that the proposed STC-based relay system increases the achievable rate irrespective of the number of antennas at SN and DN.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433146","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: 10.1016/j.icte.2024.09.002
Recent advances in communications technologies have paved the way for integrating communication and sensing functionalities into unmanned aerial vehicle (UAV) networks by using reconfigurable intelligent surfaces (RIS). In this paper, we propose a novel approach to maximize the sum rate of RIS-assisted UAV networks by using an integrated sensing and communications (ISAC) network in conjunction with deep reinforcement learning (DRL). The integration of UAVs with ISAC networks results in dynamic and unpredictable channel conditions, which reduces the effectiveness of traditional optimization techniques. To address this challenge, we develop a DRL-based sum-rate maximization algorithm that adaptively configures the beamforming matrix and RIS phase shifts to optimize the communication performance while achieving the signal-to-noise ratio required for sensing. Our simulation results indicate that the proposed algorithm significantly outperforms the existing methods in terms of sum rate while accommodating the dynamic nature of the ISAC-UAV network.
{"title":"Deep reinforcement learning-based sum rate maximization for RIS-assisted ISAC-UAV network","authors":"","doi":"10.1016/j.icte.2024.09.002","DOIUrl":"10.1016/j.icte.2024.09.002","url":null,"abstract":"<div><div>Recent advances in communications technologies have paved the way for integrating communication and sensing functionalities into unmanned aerial vehicle (UAV) networks by using reconfigurable intelligent surfaces (RIS). In this paper, we propose a novel approach to maximize the sum rate of RIS-assisted UAV networks by using an integrated sensing and communications (ISAC) network in conjunction with deep reinforcement learning (DRL). The integration of UAVs with ISAC networks results in dynamic and unpredictable channel conditions, which reduces the effectiveness of traditional optimization techniques. To address this challenge, we develop a DRL-based sum-rate maximization algorithm that adaptively configures the beamforming matrix and RIS phase shifts to optimize the communication performance while achieving the signal-to-noise ratio required for sensing. Our simulation results indicate that the proposed algorithm significantly outperforms the existing methods in terms of sum rate while accommodating the dynamic nature of the ISAC-UAV network.</div></div>","PeriodicalId":48526,"journal":{"name":"ICT Express","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433178","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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