Physical Communication最新文献_第9页

On the optimal duplexing strategy for wireless-powered communication networks 无线通信网络的最优双工策略研究

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-22 DOI: 10.1016/j.phycom.2025.102729

Arman Ahmadian , Hyuncheol Park

{"title":"On the optimal duplexing strategy for wireless-powered communication networks","authors":"Arman Ahmadian , Hyuncheol Park","doi":"10.1016/j.phycom.2025.102729","DOIUrl":"10.1016/j.phycom.2025.102729","url":null,"abstract":"<div><div>Due to its simplicity and lack of channel state information (CSI) feedback requirements, time division duplexing (TDD) has been the preferred duplexing method in wireless-powered communication networks (WPCNs), while the advantages of frequency-division duplexing (FDD) has remained largely unexplored. Yet, the decision between TDD and FDD goes beyond CSI considerations, as it depends on various system parameters and operational trade-offs not previously considered. In FDD, the transmitter remains active throughout the entire frame duration, enabling more effective utilization of the maximum instantaneous transmit power of the hybrid access point (HAP). In contrast, TDD exploits the full bandwidth (BW), thereby making better use of the feasible maximum power spectral density (PSD). Finally, while the constraint of maximum time-averaged transmit power in FDD closely resembles the effect of the maximum instantaneous transmit power constraint, they have different effects on the operation of the TDD-WPCN.</div><div>To analyze these effects, we thoroughly investigate both TDD-WPCN and FDD-WPCN and characterize their respective operating regions. Our extensive theoretical and simulation results reveal that selecting between the two schemes involves a complex, multidimensional trade-off, warranting careful consideration in system design. We demonstrate that, under certain assumptions, the throughput of an FDD-WPCN can be substantially greater than that of the same WPCN operating in TDD mode. Furthermore we prove that, under certain conditions, a single-node FDD-WPCN can achieve a two-fold increase in throughput compared to a single-node TDD-WPCN.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102729"},"PeriodicalIF":2.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An overview of 6G wireless networks 6G无线网络概述

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2025-07-21 DOI: 10.1016/j.phycom.2025.102790

Waheeb Tashan , Ada Irem Pekdemir , Ibraheem Shayea , Mohammad Alnakhli , Mustafa Ergen , Sawsan Ali Saad

{"title":"An overview of 6G wireless networks","authors":"Waheeb Tashan , Ada Irem Pekdemir , Ibraheem Shayea , Mohammad Alnakhli , Mustafa Ergen , Sawsan Ali Saad","doi":"10.1016/j.phycom.2025.102790","DOIUrl":"10.1016/j.phycom.2025.102790","url":null,"abstract":"<div><div>As the standardization process for 5G progresses, efforts are already underway for the development of the sixth generation. In our rapidly digitalizing world, where the number of connected devices is increasing day by day, expectations from a communication network are constantly changing. With the effect of the paradigm, users started to demand the least latency for applications that will provide more data, higher speeds, and remote control without error. This paper provides a glimpse of the next generation that will come after the 5G technology. An overview of the 6G mobile wireless network, its key performance improvements compared with 4G and 5G, enabler technologies, and features of the new generation radio access network architecture is given in this paper. The future of the 6G mobile network structure, challenges, and future works are discussed. The current state of the enabler technologies integrated into the 6G network are presented. Additionally, the current research including up-to-date use cases are discussed in this paper. Following the explanation of the developments and functions of the new network architecture, a list of enabler technologies has been provided. Finally, the forthcoming challenges that the 6G network architecture will encounter, along with the prospects for the new network, are presented. This paper aims to develop an understanding of the 6G mobile wireless network structure.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102790"},"PeriodicalIF":2.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractional-order Deep Neural Networks for Improved TDOA Localization in Wireless Sensor Networks 分数阶深度神经网络改进无线传感器网络TDOA定位

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-19 DOI: 10.1016/j.phycom.2025.102767

Mehari Kiros , Kumlachew Yeneneh

{"title":"Fractional-order Deep Neural Networks for Improved TDOA Localization in Wireless Sensor Networks","authors":"Mehari Kiros , Kumlachew Yeneneh","doi":"10.1016/j.phycom.2025.102767","DOIUrl":"10.1016/j.phycom.2025.102767","url":null,"abstract":"<div><div>Accurate localization is critical for the effective operation of Wireless Sensor Networks (WSNs), yet traditional methods often struggle with noise and environmental variability. This research introduces a novel approach by incorporating fractional-order calculus into Deep Neural Networks (DNNs) to address two key technical challenges: (1) the sensitivity of Time-Difference-of-Arrival (TDOA) methods to noise and non-linearity in dynamic environments, and (2) the limitations of conventional gradient descent in DNN training, such as vanishing gradients and slow convergence. The proposed Fractional-Order (FODNNs) leverage the memory effects and non-local properties of fractional derivatives Grünwald–Letnikov definition) to enhance gradient computation and error propagation during backpropagation. Experimental results demonstrate that FODNNs reduce localization error by 50% (achieving a mean error of 0.21 ± 0.03 m vs. 0.42 ± 0.07 m for DNNs and converge 44.4% faster (<span><math><mrow><mn>50</mn><mo>±</mo><mn>3</mn></mrow></math></span> epochs vs. <span><math><mrow><mn>90</mn><mo>±</mo><mn>5</mn></mrow></math></span> epochs), while maintaining sub-0.25 m accuracy even in high-noise conditions (SNR <span><math><mo><</mo></math></span> 10 dB). The framework also shows superior robustness, with only 12.3% performance degradation under noise compared to 38.7% for DNNs.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102767"},"PeriodicalIF":2.0,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-dimensional trajectory optimization of rotary-wing UAV with cellular network connectivity based on modified DDPG 基于改进DDPG的蜂窝网络连接旋翼无人机三维轨迹优化

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2025-07-18 DOI: 10.1016/j.phycom.2025.102773

Weizhi Zhong, Xiang Liu, Haowen Jin, Qiuming Zhu, Zhipeng Lin, Kai Mao, Jie Wang

{"title":"Three-dimensional trajectory optimization of rotary-wing UAV with cellular network connectivity based on modified DDPG","authors":"Weizhi Zhong, Xiang Liu, Haowen Jin, Qiuming Zhu, Zhipeng Lin, Kai Mao, Jie Wang","doi":"10.1016/j.phycom.2025.102773","DOIUrl":"10.1016/j.phycom.2025.102773","url":null,"abstract":"<div><div>The integration of cellular network and unmanned aerial vehicles (UAVs) plays a critical role in the development of remote sensing and intelligent monitoring technologies. However, due to the limited onboard energy and the down-tilt characteristics of cellular base station (BS) antennas, UAVs navigating over urban areas still face practical challenges. By investigating the trade-off between UAV flight time and expected interruption time, this paper proposes a deep reinforcement learning (DRL) based joint optimization algorithm for UAV three-dimensional (3D) spatial cruising in dense urban areas. The algorithm enables the UAV to determine an optimal trajectory that navigates through designated waypoints within the cruising space while ensuring the completion of the journey under predefined energy constraints. Unlike traditional discretized trajectory optimization methods, our approach employs a deep deterministic policy gradient (DDPG) network to enable fully continuous and omnidirectional action selection, allowing the UAV to navigate more efficiently while avoiding low-coverage areas. Moreover, the algorithm is further modified through the incorporation of a prioritized experience replay (PER) mechanism and N-step learning method, aimed at enhancing overall performance. Numerical results verify that our proposed method significantly outperforms benchmark algorithms in connectivity-aware UAV path planning, demonstrating clear advantages in achieving robust and reliable aerial communication coverage in dynamic 3D environments.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102773"},"PeriodicalIF":2.2,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed channel selection, relay assignment, and UAV deployment for delay minimization via game framework 通过游戏框架实现延迟最小化的分布式信道选择、中继分配和无人机部署

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-18 DOI: 10.1016/j.phycom.2025.102785

Yuan He , Xie Jun , Yaqun Liu , Xijian Luo

{"title":"Distributed channel selection, relay assignment, and UAV deployment for delay minimization via game framework","authors":"Yuan He , Xie Jun , Yaqun Liu , Xijian Luo","doi":"10.1016/j.phycom.2025.102785","DOIUrl":"10.1016/j.phycom.2025.102785","url":null,"abstract":"<div><div>Due to the flexibility and rapid deployment characteristics, Unmanned Aerial Vehicles (UAVs) are widely used as relays to provide real-time data transmission services. In this paper, the network scenario of relay UAVs (RUs) assisting the communication between mission UAVs (MUs) and the ground base station is investigated. Considering the queuing delay that may be generated by real-time data transmission between UAVs, the total data transmission delay of MUs is minimized by optimizing the channel selection, the relay assignment and the deployment position. In order to solve the problem, the channel selection and deployment position optimization sub-problems are transformed into the potential games. A distributed best-response algorithm and a distributed RU deployment position optimization algorithm based on particle swarm optimization are separately designed to solve the games’ equilibrium. Meanwhile, the relay assignment sub-problem is transformed into a coalition formation game and a distributed relay assignment algorithm is designed based on the switch and swap rules. All algorithms optimize the global network performance based on local information. Simulation results show that the proposed algorithms have better performance than the baseline algorithms and can achieve a low delay in different environments.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102785"},"PeriodicalIF":2.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144713597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative AI-driven reinforcement learning for beamforming and scheduling in multi-cell MIMO-NOMA systems 多单元MIMO-NOMA系统波束形成与调度的生成式ai驱动强化学习

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-18 DOI: 10.1016/j.phycom.2025.102771

Abuzar B.M. Adam , Elhadj Moustapha Diallo , Mohammed Saleh Ali Muthanna , Reem Ibrahim Alkanhel , Ammar Muthanna , Mohammad Hammoudeh

{"title":"Generative AI-driven reinforcement learning for beamforming and scheduling in multi-cell MIMO-NOMA systems","authors":"Abuzar B.M. Adam , Elhadj Moustapha Diallo , Mohammed Saleh Ali Muthanna , Reem Ibrahim Alkanhel , Ammar Muthanna , Mohammad Hammoudeh","doi":"10.1016/j.phycom.2025.102771","DOIUrl":"10.1016/j.phycom.2025.102771","url":null,"abstract":"<div><div>This article introduces a novel generative artificial intelligence-enhanced primal–dual proximal policy optimization (GAI-PDPPO) framework for joint user scheduling and beamforming in downlink multi-cell multiple-input and multiple-output non-orthogonal multiple access (MC-MIMO-NOMA) networks. Designed to address the challenges of interference-laden environments typical in beyond the fifth generation (B5G)/sixth generation (6G) systems, the proposed method formulates a complex mixed-integer nonlinear programming problem to minimize transmit power under stringent Quality-of-Service (QoS) constraints. Unlike conventional approaches, GAI-PDPPO incorporates an invertible transformer-based actor-critic architecture capable of modeling high-dimensional channel state information and unknown-source interference. Through the integration of generative pretraining and prioritized experience replay, the framework accelerates convergence and enhances policy generalization. Extensive simulations demonstrate that GAI-PDPPO consistently outperforms standard primal–dual PPO and benchmark solutions, achieving lower power consumption and higher spectral efficiency under varying signal-to-interference-plus-noise ratio (SINR) thresholds and interference conditions.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102771"},"PeriodicalIF":2.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low complexity iterative MMSE detector for OTFS modulation 用于OTFS调制的低复杂度迭代MMSE检测器

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-17 DOI: 10.1016/j.phycom.2025.102758

Minghe Zhang , Shengping Si , Qiang Guo

引用次数: 0

IRS-assisted secure wireless communication system with quantum honey badger algorithm 基于量子蜜獾算法的irs辅助安全无线通信系统

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-17 DOI: 10.1016/j.phycom.2025.102749

Wen Cui , Lin Zhao , Jianhua Cheng , Hongyuan Gao

{"title":"IRS-assisted secure wireless communication system with quantum honey badger algorithm","authors":"Wen Cui , Lin Zhao , Jianhua Cheng , Hongyuan Gao","doi":"10.1016/j.phycom.2025.102749","DOIUrl":"10.1016/j.phycom.2025.102749","url":null,"abstract":"<div><div>In an environment with intelligent reflecting surface (IRS), desired signals are enhanced or unwanted signals are suppressed through adaptively adjusting reflecting unit’s phase shift. When there is a single-antenna eavesdropper, a single-antenna user received confidential messages from a multi-antenna access point (AP), thus formed our secure wireless communication system. The system initially adopted passive reflecting units, and in order to enhance secure wireless transmission, we propose a new active IRS-assisted system. For the secrecy rate optimization problem in secure wireless communication system, to effectively obtain an exact solution is difficult as it is non-convex property. Aiming at solving the optimization problem above, we newly proposed quantum honey badger algorithm (QHBA). Through jointly designing the reflect beamforming at IRS and transmit beamforming at AP in a legitimate communication link by QHBA, we have maximized the secrecy rate. For both active and passive IRS-assisted secure wireless communication system, we have significantly improved the secrecy rate compared with several traditional swarm intelligence algorithms through simulation results after applying the novel algorithm proposed above.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102749"},"PeriodicalIF":2.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid-IRS assisted Quadrature Space Shift Keying in full-duplex wireless communication 全双工无线通信中混合红外辅助正交空间移位键控

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-17 DOI: 10.1016/j.phycom.2025.102752

K.S. Shafrin, Neelakandan Rajamohan

{"title":"Hybrid-IRS assisted Quadrature Space Shift Keying in full-duplex wireless communication","authors":"K.S. Shafrin, Neelakandan Rajamohan","doi":"10.1016/j.phycom.2025.102752","DOIUrl":"10.1016/j.phycom.2025.102752","url":null,"abstract":"<div><div>This work proposes a novel full-duplex (FD) wireless communication architecture that integrates Hybrid Intelligent Reflecting Surfaces (<span><math><mi>H</mi></math></span>-IRS) with Quadrature Space Shift Keying (QSSK) to enhance spectral efficiency, spatial diversity, and system reliability. The <span><math><mi>H</mi></math></span>-IRS framework combines active and passive reflecting elements, enabling selective signal amplification and improved spatial reconfigurability. Analytical expressions for the average bit error probability (ABEP) are derived, and the system is evaluated under realistic impairments such as residual self-interference (RSI) and imperfect CSI. Monte Carlo simulations validate the analysis and demonstrate that the proposed <span><math><mi>H</mi></math></span>-IRS-QSSK system significantly outperforms conventional FD-QSSK/QSM, and IRS assisted-SSK/QSSK/QSM-FD schemes in terms of BER and spectral efficiency under equal power budgets. These results confirm the advantages of hybrid IRS-assisted quadrature spatial modulation in achieving high performance for future FD MIMO deployments.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102752"},"PeriodicalIF":2.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bilevel fairness strategy based computation efficiency maximization for NOMA-aided edge network 基于双级公平策略的noma辅助边缘网络计算效率最大化

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-07-17 DOI: 10.1016/j.phycom.2025.102774

Xiaogang Dong , Zheng Wan , Changshou Deng , Shenglu Zhao , Xiwei Dong

{"title":"Bilevel fairness strategy based computation efficiency maximization for NOMA-aided edge network","authors":"Xiaogang Dong , Zheng Wan , Changshou Deng , Shenglu Zhao , Xiwei Dong","doi":"10.1016/j.phycom.2025.102774","DOIUrl":"10.1016/j.phycom.2025.102774","url":null,"abstract":"<div><div>Non-Orthogonal Multiple Access (NOMA)-aided edge networks emerge as a compelling solution for next-generation networks where computation-intensive and resource-constrained applications are ubiquitous. To improve the user’s quality of experience, it is imperative to carefully consider both the computation efficiency and the fairness of resource allocation in such applications. To this end, a maximizing computation efficiency problem based on a bilevel fairness strategy is formulated. Distinguishing from the existing research on fair computation efficiency optimization, it is an optimization model integrating the qualitative fairness measures and the quantitative fairness measures. Because this problem is a complex constraint optimization problem, the optimization framework is constructed by integrating the feasible rule and differential evolution (DE). Specifically, a parameter adaptive scheme based on the reinforcement learning (RL) and a mutation base vector selection scheme based on the opposition-based learning (OBL) are developed to improve the optimization performance. Furthermore, the selection between offspring and parents, as well as the selection of optimal individual, are designed based on the feasible rule to guarantee the feasibility of solutions. Finally, extensive simulations are conducted to evaluate the performance of the proposed scheme. The results indicate that our scheme can maximize the computation efficiency more fairly, and its performance outperforms the baseline schemes.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"72 ","pages":"Article 102774"},"PeriodicalIF":2.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0