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Performance evaluation of energy harvesting-enabled NOMA under imperfect [formula omitted] shadowed fading channel information and hardware impairment Phys. Commun. (IF 2.2) Pub Date : 2024-03-20 Khuong Ho-Van
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Performance analysis of IRS-aided MISO system under spatial correlation and interference Phys. Commun. (IF 2.2) Pub Date : 2024-03-19 Jing Guo, Zhili Ren, Lili Zhou
In this paper, we investigate the performance of an intelligent reflecting surface (IRS) aided multiple-input single-output (MISO) wireless system in the absence of direct link. We focus on the practical scenario where the reflecting elements of the IRS have a spatial correlation between them, and both the destination and IRS are subject to interferences. Moreover, the IRS design with discrete phase
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A tactical data link model based on CCSK-FMSK Phys. Commun. (IF 2.2) Pub Date : 2024-03-19 Zhanjun Huang, Jinkai Li, An Zhang
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Distributed identity management mechanism based on improved block-chain certificateless encryption algorithm Phys. Commun. (IF 2.2) Pub Date : 2024-03-19 Xiang Feng, Linrong Wang, Xin Bai, Peng Yang
For solving the problem of the lack of full control over the identity data of network users, we propose an identity management method based on the certificateless encryption algorithm of block chain. We also propose a certificateless encryption algorithm combined with state secret algorithm SM2 to reduce the computational cost of the algorithm by using the decentralized advantages of block chain and
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Covert communications in STAR-RIS-aided rate-splitting multiple access systems Phys. Commun. (IF 2.2) Pub Date : 2024-03-16 Heng Chang, Hai Yang, Shuobo Xu, Xiyu Pang, Hongwu Liu
In this paper, an simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is deployed in the downlink rate-splitting multiple access (RSMA) covert system to enhance the covert communication performance. According to the RSMA transceiver mechanism, the messages for the covert user (Bob) and public user (Grace) are converted to the common and private streams at the legitimate
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Cooperative NOMA in cognitive radio networks: A study on imperfect CSI, SIC and hardware impairments over Nakagami-m fading channel Phys. Commun. (IF 2.2) Pub Date : 2024-03-15 Zahra Doorbash, Ali Jamshidi, Giti Javidi, Ehsan Sheybani
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Emergency Logistics Resource Scheduling Algorithm in Cloud Computing Environment Phys. Commun. (IF 2.2) Pub Date : 2024-03-14 Ting Li
In dealing with emergency logistics, it is essential to use regional and central distribution hubs efficiently, and local and international sources of supply for automotive relief supplies are analyzed in this research. Resource scheduling algorithms employed by service providers to supply and assign resources in an environment are collectively referred to as resource scheduling. Cloud computing uses
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High-performance deep-sea long-range underwater acoustic communication: Deconvolved conventional beamforming based approach Phys. Commun. (IF 2.2) Pub Date : 2024-03-11 Chao Ma, Lei Liu, Qi Wang, Wanyuan Zhang, Xinyu Liu
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User scheduling for non-orthogonal multiple access-enabled 5G aeronautical mobile airport communications system Phys. Commun. (IF 2.2) Pub Date : 2024-03-11 Hao Liang, Kai Chen
The recent concept of aeronautical mobile airport communications system with the 5th generation mobile communication technology (5G AeroMACS) for enhancing real-time and efficient flight information transmission has attracted wide attention from the civil aviation industry. In addition, non-orthogonal multiple access (NOMA) is also a promising solution to further improve the sum rate. However, the
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Efficient resource allocation for 5G/6G cognitive radio networks using probabilistic interference models Phys. Commun. (IF 2.2) Pub Date : 2024-03-07 Osama Zaheer, Mudassar Ali, Muhammad Imran, Humayun Zubair, Muhammad Naeem
The Cognitive Radio Network, incorporating Device-to-Device communication and a heterogeneous network, has garnered significant attention due to its ability to address spectrum shortage issues and optimize the efficient utilization of spectrum resources. However, resource allocation considering stochastic behavior has not been considered in existing studies. In this paper, our work aimed to maximize
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Performance analysis of power-efficient IRS-Assisted full duplex NOMA systems Phys. Commun. (IF 2.2) Pub Date : 2024-03-07 Mahsa Shirzadian Gilan, Behrouz Maham
In this paper, we utilize intelligent reflecting surfaces (IRSs) in full-duplex (FD) systems to enhance diversity gain and system performance. The issue of self-interference in FD systems causing an outage floor is addressed. We propose a beamforming (BF) method that mitigates this effect, even when there is no direct channel between the source and the far user in non-orthogonal multiple access (NOMA)
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Secrecy analysis of collaborative NOMA networks with IQI Phys. Commun. (IF 2.2) Pub Date : 2024-03-07 Jiangfeng Sun, Zihan Zhang, Juan Tu, Yanyang Zeng, Xingwang Li
This paper studies the secrecy performance of collaborative non-orthogonal multiple access (NOMA) systems over – shadowed distribution with in-phase and quadrature-phase imbalance (IQI). The analytical expressions for outage probability (OP), intercept probability (IP), secure outage probability (SOP), and strictly positive secrecy capacity (SPSC) are derived relying on the NOMA eavesdropping model
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IMPROVED MATRIX MODEL OF SEQUENCE GRID PARTITION BASED ON VECTOR SPACE SAMPLING Phys. Commun. (IF 2.2) Pub Date : 2024-03-06 L, i, n, a, , C, u, i
In information technology and data science predictive analysis work, the goal is to infer guess values as accurately as possible. A more densely spaced grid of points should be set as a tool for operating measurement models. It has a wide range of applications in psychology, education and other social science research fields. Although the grid seems to meet the requirements of further improving the
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An approach to improve transferability of adversarial examples Phys. Commun. (IF 2.2) Pub Date : 2024-02-25 Weihan Zhang, Ying Guo
Adversarial examples (AE) have become a huge threat to the security and robustness of deep neural networks (DNN). The transferability of AE reveals the vulnerability of DNN even in a black-box situation. Due to the different structure and decision boundary of DNN models, the transferability of an AE generated on one model is limited to deceive another model with a different representation ability.
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APIB-GAN: A generative adversarial networks based approach for anomaly prediction of internet behavior Phys. Commun. (IF 2.2) Pub Date : 2024-02-23 Yetong Fang
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Cooperative communication and relay node selection algorithm based on SWIPT Phys. Commun. (IF 2.2) Pub Date : 2024-02-23 Juan Xu, Xin Li, Ruofan Wang, Wentao Xue
The development of nanotechnology and the emergence of new materials such as graphene make wireless nanosensor networks (WNSN) based on electromagnetic communication possible. Due to the energy, computing power and transmission distance carried by nano-nodes are extremely limited, nanonetworks are usually ultra-dense, so nanonetworks are usually cluster-managed. Aiming at the problem of data transmission
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Enhancing security for physical layer communication in RIS-aided MIMO-NOMA systems in the presence of an eavesdropper Phys. Commun. (IF 2.2) Pub Date : 2024-02-23 Ahmad Beigian, Ghazaleh Kianfar, Jamshid Abouei, Arash Mohammadi, Konstantinos N. Plataniotis
This paper investigates the potential of leveraging a reconfigurable intelligent surface (RIS) in the multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) wireless communication systems. In fact, NOMA improves spectral efficiency (SE) through power domain utilization, and RIS enhances the system performance by manipulating the propagation environment. In this paper, we investigate
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NOMA-based retrodirective frequency diverse array for multi-user communication Phys. Commun. (IF 2.2) Pub Date : 2024-02-22 Hilal Bello, Rosdiadee Nordin, Haroon Ahmed, Yumin Chen
Frequency Diverse Array (FDA) and retrodirective array have found applications in wireless communication networks, offering cost-effective and efficient beamforming capabilities. In this paper, a novel concept of the retrodirective frequency diverse array (RFDA) is introduced, which empowers each array element to handle multiple communication channels, thereby enabling support for multiple users. This
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Effective capacity of rate-splitting multiple access with channel estimation errors Phys. Commun. (IF 2.2) Pub Date : 2024-02-21 Xin Sheng
In view of its advantages to adeptly reduce interference and low complexity, rate-splitting multiple access (RSMA) is emerging as an innovative framework for the next generation of the wireless communication networks. In this paper, we conduct the performance analysis of a two user RSMA network under delay constrains, taking channel estimation errors into account as well. Utilizing the effective capacity
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A DNN-orchestrated cognitive radio-based power control scheme for D2D communication Phys. Commun. (IF 2.2) Pub Date : 2024-02-17 Tejal Rathod, Sudeep Tanwar
Device-to-device (D2D) communication demonstrates its efficacy across diverse domains, including military, surveillance, public safety, disaster management, content sharing, and local advertising, through its provision of proximity-based connections. Moreover, it elevates data rates, spectrum efficiency, and network throughput with efficient resource allocation while simultaneously reducing latency
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Improved K-means-based solution for detecting DDoS attacks in SDN Phys. Commun. (IF 2.2) Pub Date : 2024-02-17 Haizhong Qian, Lili Cai
Software Defined Networking (SDN) is a change to the traditional network, which can better face the complex network scenarios and meet the future network development needs. However, SDN faces many network security problems in the process of development, among which distributed denial-of-service (DDoS) attacks on SDN cause the most serious problem of communication paralysis. For the problem of unstable
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Secure Medical Data on Cloud storage via DNA Homomorphic Encryption technique Phys. Commun. (IF 2.2) Pub Date : 2024-02-15 Qiong Liu, Feng Zhou, Han Chen
Cloud computing offers considerable flexibility and financial savings to data owners for outsourcing their complicated data management systems from local sites to the commercial public cloud. However, an effective encryption scheme is needed to protect the private medical data of the user in the cloud without leaking it. Therefore, in this paper an efficient Deoxyribonucleic Acid Homomorphic Encryption
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Transmitter design and AE–AR region characterization for NOMA-SLIPT UWOC systems with uniformly distributed message and Imp-SIC Phys. Commun. (IF 2.2) Pub Date : 2024-02-14 Amit Agarwal
This paper investigates simultaneous lightwave and information transfer (SLIPT) based non-orthogonal multiple access (NOMA) in underwater optical wireless communication (UWOC) systems. At the user signal separation (SS) based SLIPT scheme is employed. Imperfect successive interference cancellation (SIC) at the near user is considered. Firstly, we derive the maximum allowable electrical power for message
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NISAC-EKF: An integrated localization deployment algorithm for UAV swarms based on NARX and EKF Phys. Commun. (IF 2.2) Pub Date : 2024-02-08 Nan Feng, Kunkun Li, Zishan Huang, Zhongcheng Wei, Wei Wang, Jijun Zhao
The mobility of both unmanned aerial vehicles (UAVs) and users, often results in frequent interruptions of communication links, affecting network communication performance. This problem can be solved through reasonable UAV location deployment. This paper proposes an integrated NISAC-EKF algorithm to enhance the localization deployment capability of UAV swarms. Initially, the nonlinear autoregressive
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On the performance of SWIPT-enabled two-way AF relay networks in κ−μ fading Phys. Commun. (IF 2.2) Pub Date : 2024-02-08 Suryanarayan Sahoo, Nagendra Kumar
In this study, we examine the performance of simultaneous wireless information and power transfer (SWIPT)-enabled two-way amplify-and-forward relay networks operating over distributed channels. We adopt a three-node wireless communication system in which two source nodes communicate with one another in half-duplex mode through a battery-enabled relay node. In order to facilitate simultaneous energy
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A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments Phys. Commun. (IF 2.2) Pub Date : 2024-02-07 Yonghua Wang, Shuwan Ma, Ningkang Liao, Yongwei Zhang, Ming Yin
A new cooperative spectrum sensing (CSS) method based on low-rank symmetric subspace clustering is proposed to improve spectrum sensing performance in complex environments. To align with the evolution of cellular networks and leverage spatial observations, a CSS model with multiple primary users and antennas is considered. To address the asymmetric weighting issue of data pairs, a low-rank representation
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Empowering internet-of-everything (IoE) networks through synergizing Lagrange optimization and deep learning for enhanced performance Phys. Commun. (IF 2.2) Pub Date : 2024-02-07 Radwa Ahmed Osman
Internet-of-everything (IoE) is one of the most promising techniques for extending human connectivity worldwide. IoE allows a massive number of devices and people to communicate with each other, such as machine-to-machine, machine-to-people, and people-to-machine communication. Enhancing the system performance networks carrying this huge amount of data is a challenge. In this paper, a network performance
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A novel piecewise nonlinear companding scaling scheme for FBMC PAPR reduction Phys. Commun. (IF 2.2) Pub Date : 2024-02-07 Srinivas Ramavath, Prasanta Kumar Patra, Umesh Chandra Samal
The performance of offset quadrature amplitude modulation filter bank multi carrier (OQAM-FBMC) has been noticed to be affected by a high peak-to-average power ratio (PAPR). High PAPR causes the transmit power amplifier to become saturated, improving the bit error rate (BER) and causing out of band (OOB) distortions. In this paper, the PAPR of FBMC systems can be reduced by using shifting and scaling
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Improving secrecy performance of NOMA networks with multiple non-colluding eavesdroppers employing multiple aerial reconfigurable intelligent surfaces Phys. Commun. (IF 2.2) Pub Date : 2024-02-03 Thanh-Lanh Le, Ba Cao Nguyen, Le The Dung, Tran Manh Hoang, Taejoon Kim, Gia Thien Luu
This paper proposes exploiting multiple aerial reconfigurable intelligent surfaces (ARISs) for the secrecy performance enhancement of non-orthogonal multiple access (NOMA) networks. More specifically, multiple ARISs are deployed to aid two legitimate NOMA users when multiple non-colluding eavesdroppers (NCEs) also try to receive and detect the messages. Moreover, the transmitter-user paths are combined
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A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties Phys. Commun. (IF 2.2) Pub Date : 2024-02-02 Zhibo Zhang, Qing Chang, Zichu Zhao, Leyan Chen, Jin Xing
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Three-dimensional deep reinforcement learning for trajectory and resource optimization in UAV communication systems Phys. Commun. (IF 2.2) Pub Date : 2024-02-02 Chunlong He, Jiaming Xu, Xingquan Li, Zhukun Li
In this paper, we focus on trajectory optimization for multiple three-dimensional unmanned aerial vehicles (UAVs) serving as aerial base stations (BS) to provide wireless coverage for Internet of Things (IoT) devices. These IoT devices are randomly distributed in a three-dimensional region with unknown locations and channel parameters. By optimizing the UAV trajectory and power, we aim to achieve the
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Coverage and reliability analysis of multi-IRS-aided distributed space–time block coding in MISO wireless communication systems Phys. Commun. (IF 2.2) Pub Date : 2024-02-02 Xudong Wang, Lei Feng, Fanqin Zhou, Wenjing Li
Intelligent reflecting surface (IRS) can realize information manipulation and signal modulations to perform space–time coding wireless communication. This article introduces a novel model to perform space–time block coding (STBC), where the base station transmits multiple symbols to a destination through multiple IRS that are utilized to adjust the phase shift and establish strong links. To maximize
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Multi-target tracking based on appearance features and similarity fusion Phys. Commun. (IF 2.2) Pub Date : 2024-02-01 Niqin Jing
Multi-target tracking technology can achieve real-time tracking by detecting the identity information of multiple targets. It is a key technology in the field of computer vision and has played an excellent role in the fields of artificial intelligence such as military, security, and autonomous driving.However, current multi-target tracking algorithms cannot accurately identify and track targets in
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Trajectory planning for UAV-enabled multi-user systems in presence of eavesdroppers Phys. Commun. (IF 2.2) Pub Date : 2024-01-28 Shiguo Wang, Wenzheng Shi, Xiukai Ruan, Qingyong Deng
Unmanned-aerial-vehicle (UAV)-enabled wireless communication is a promising paradigm in extending signal coverage and enhancing system capacity due to its superiority in low cost and flexible deployment. However, the performance of such systems heavily depends on the UAV flight trajectories, especially in the presence of eavesdroppers. In fact, for such scenarios, UAV trajectories can be optimized
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Computer Detection Intelligent Mining Algorithm for Software Defined Networks Phys. Commun. (IF 2.2) Pub Date : 2024-01-24 Yaping Hao, Yanwei Fu
The network security (NS) issues of software defined network (SDN) are becoming increasingly prominent. Traditional computer detection (for convenience, computer detection is abbreviated to CD) methods are usually based on rules and features, and cannot cope with new threats and unknown attacks. The purpose of this article is to analyze a CD intelligent mining algorithm (for convenience, intelligent
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Multiple-compression-rate CSI feedback for mm-wave massive MIMO based on federated learning Phys. Commun. (IF 2.2) Pub Date : 2024-01-25 Bo Hu, Hongbo Xu, Ze Wang, Li Zhao, Aizhi Zhou
In mm-wave massive multiple-input-multiple-output (MIMO) systems, accurate channel state information (CSI) at the base station (BS) is the key knowledge to obtain the performance gain. Consequently, the user is not only required to complete the channel estimation, but also to feedback CSI to the BS. However, large-scale antenna arrays result in a substantial feedback overhead, which poses a challenging
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Risk identification of aerobic exercise and health data monitoring based on ACGAN image recognition algorithm Phys. Commun. (IF 2.2) Pub Date : 2024-01-26 Xu Zuo, Yinhao Shen
This study proposes a method for accurately monitoring aerobic exercise risk and health data under overload conditions, utilizing the ACGAN image recognition algorithm. We introduce a topological feature distribution model designed to identify abnormal feature points in images related to aerobic exercise risk and health monitoring during overload conditions. Detection coefficients are derived from
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An Robust N-Gram Causal Inference Approach Based on Multi-model Fusion Phys. Commun. (IF 2.2) Pub Date : 2024-01-23 Junjie Guo, Yunfei Zhang, Quan Xu, Lei Jiang, Xiaolong Liu, Shumin Lv, Junpeng Zhu
Causal inference and interpretation generation are currently hot topics in various fields of research. For instance, by describing the causes of accidents and revealing potential accident rules, we can effectively prevent the recurrence of accidents. However, most models can only capture empirical causal patterns from specific datasets, meaning that their performance deteriorates when they are confronted
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New efficient optimal FIR equalizer design Phys. Commun. (IF 2.2) Pub Date : 2024-01-26 Shih-Yu Chang, Hsiao-Chun Wu
Finite impulse response (FIR) filters are commonly used as linear equalizers in vehicular communication systems due to their advantages including linear-phase property, stability, and implementation efficiency. As the perfect equalizer is actually the inverse of a channel filter, it would inevitably possess a mixing-phase transfer function very often. However, there hardly exists any systematic approach
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Framework for propagation modeling of IRS-assisted communication based on ray tracing Phys. Commun. (IF 2.2) Pub Date : 2024-01-20 Mohammadreza Farashahi, Boon-Chong Seet, Xuejun Li
Intelligent Reflecting Surface (IRS) is an emerging technology to improve the performance of wireless systems. As implementing IRS in a wireless network with complex indoor environments is a challenging task, how to perform a realistic simulation study of such a system becomes a necessary and important topic. This paper presents a framework for modeling wireless propagation channels for an IRS-based
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Ultra-reliable intelligent link scheduling based on DRL for manned/unmanned aerial vehicle cooperative scenarios Phys. Commun. (IF 2.2) Pub Date : 2024-01-23 Yong Liao, Ge Gao, Yahao Jing
When manned/unmanned aerial vehicle (MAV–UAV) perform cooperative missions in complex and variable situations, the communication link between manned aerial vehicle (MAV) and unmanned aerial vehicle (UAV) must be extremely dependable to guarantee the reliable transfer of command and control information. To address the above issues, this study provides an intelligent link scheduling algorithm based on
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Joint DFO and Channel Estimation Scheme for RIS Assisted OFDM Systems Phys. Commun. (IF 2.2) Pub Date : 2024-01-20 Lihua Yang, Yongqi Shao, Ao Chang, Lulu Ren
In the reconfigurable intelligent surface (RIS) assisted mobile wireless communications, the performance gains provided by RIS cannot be achieved without the accurate channel estimation. Many time-varying channel estimation algorithms have been proposed for such systems, but none of them consider the effect of Doppler frequency offset (DFO) synchronization error, which can seriously degrade the accuracy
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Network deployment with energy efficiency optimization in IRS-assisted cell-free MIMO system Phys. Commun. (IF 2.2) Pub Date : 2024-01-18 Haoxuan Liu, Nan Qi, Kewei Wang, Theodoros A. Tsiftsis, Wenjing Wang, Yawen Liu
The energy efficiency and network deployment of wireless communication systems have become two main issues owing to the increasing quantity of gadgets and the limited power. Intelligent reflecting surface (IRS) is a novel technique recently proposed to increase the achievable rate and energy efficiency of multiple-input multiple-output (MIMO) wireless networks. This paper explores the deployment of
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Performance analysis of joint range and velocity estimation in OFDM-IM-based RadCom system Phys. Commun. (IF 2.2) Pub Date : 2024-01-20 Wenxu Zhang, Kang Luo, Zhongkai Zhao, Yuxuan Zheng, Hao Wan
Modulation symbol domain (MSD) method is usually applied in range and velocity estimation for the radar-communication (RadCom) shared system based on orthogonal frequency-division multiplexing with index modulation (OFDM-IM). Nevertheless, the deterioration of sidelobe characteristics significantly impairs the efficacy of both range and velocity estimation. In this paper, we propose a modulation symbol
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A low complex joint optimization model for maximizing sum rate and energy efficiency in an IRS-assisted multi-user communication scenario Phys. Commun. (IF 2.2) Pub Date : 2024-01-16 Mahima Chaudhary, Shravan Kumar Bandari
The sum-rate and energy efficiency of an Intelligent Reflective Surfaces (IRS)-assisted downlink multi-user communication scenario with a generalized fading channel model is improved by implementing joint optimization of the active precoding matrix at Base Station (BS) and phase optimization at IRS. To fulfil this objective, joint optimization is first obtained by incorporating the Semi Definite Relaxation
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Fair resource allocation and SBS selection for MC-NOMA-based HetNets supporting D2D communications Phys. Commun. (IF 2.2) Pub Date : 2024-01-17 Alireza Gholamrezaee, Hamid Farrokhi, Javad Zeraatkar Moghaddam
This paper studies the application of downlink multi-carrier non-orthogonal multiple access (MC-NOMA) and device-to-device (D2D) in heterogeneous networks (HetNets). In the considered model, the small base stations (SBSs) can reuse the sub-channels (SCs) of the macro base stations (MBS). The paper aims to maximize the system sum-rate while managing co-tier and co-channel interference by optimizing
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DL-SCA: An deep learning based approach for intra-class CutMix data augmentation Phys. Commun. (IF 2.2) Pub Date : 2024-01-15 Weiguang Liu
CutMix data augmentation can provide a large amount of augmented data for DL-SCA (deep learning side channel attacks) by generating new power traces. However, traces generated by CutMix may lose dependency with the new label, which may reduce the accuracy of the training model. In light of this, we propose an improved intra-class CutMix data augmentation method. Firstly, the original power traces are
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Optimally sensors nodes selection for adaptive heterogeneous precision agriculture using wireless sensor networks based on genetic algorithm and extended kalman filter Phys. Commun. (IF 2.2) Pub Date : 2024-01-15 Yousef E M Hamouda
Precision agriculture (PA) has recently employed as an innovative agriculture to increase the profitability through enhancing the crop yields. Wireless sensor networks (WSNs) is widely used in PA to measure the agricultural parameters. However, the main challenges of using WSNs in PA are to improve the measurement accuracy and to increase the network lifetime of WSNs. A novel scheme is developed in
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An improved localization approach based on sybil attack for WSN Phys. Commun. (IF 2.2) Pub Date : 2024-01-10 Luping Zheng
Recently, the precise location of sensor nodes has emerged as a significant challenge in the realm of Internet of Things (IoT) applications, including Wireless Sensor Networks (WSNs). The accurate determination of geographical coordinates for detected events holds pivotal importance in these applications. Despite the DV-Hop gaining popularity due to its cost-effectiveness, feasibility, and lack of
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Spectral decomposition-based optimization for MMSE receiver design in an uplink MU-MIMO cooperative communication system with imperfect CSI Phys. Commun. (IF 2.2) Pub Date : 2024-01-13 Sarah M. Imam, Ahmed E. El-Mahdy
The receiver’s architecture is always a critical issue in multiple-input multiple-output (MIMO) systems, as it has a great impact on the system’s performance and complexity. Accordingly, in this paper, a spectral decomposition-based minimum mean squared error (MMSE) receiver is proposed in an uplink multi-user MIMO (MU-MIMO) system with a full-duplex decode and forward relay. Imperfect channel state
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Outage constrained transmission design for NOMA-based integrated sensing and communication systems Phys. Commun. (IF 2.2) Pub Date : 2024-01-12 Xingxing Huang, Guoping Zhang, Dong Wang, Hongbo Xu, Yun Chen, Ruijie Li
This paper investigates a framework for integrated sensing and communication (ISAC) based on non-orthogonal multiple access (NOMA). In this framework, a dual-function base station (BS) utilizes NOMA technology to send superimposed signals to various users, and this superimposed signal also acts on target sensing simultaneously. Considering the channel estimation error, ensuring the communication performance
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Spread spectrum OFDM-IM with X-transform Phys. Commun. (IF 2.2) Pub Date : 2024-01-11 Hussein A. Leftah
This paper proposes a developed index modulated spread spectrum orthogonal frequency division multiplexing (OFDM) that is based on X-transform (IM-XOFDM-SS). The presented OFDM sends information not only by M-ary data symbols but also by indexes bits that used to select the spreading code from a known set, and applies the X-transform for baseband processing. A theoretical analysis for upper bound bit-error
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Corrigendum to “UAVs path planning architecture for effective medical emergency response in future networks” [Physical Communication, Volume 47 (August 2021), 101337] Phys. Commun. (IF 2.2) Pub Date : 2024-01-06 Sara Imran Khan, Zakria Qadir, Hafiz Suliman Munawar, Soumya Ranjan Nayak, Anil Kumar Budati, K.D. Verma, Deo Prakash
Abstract not available
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Deep learning-based modulation recognition with constellation diagram: A case study Phys. Commun. (IF 2.2) Pub Date : 2024-01-05 Merih Leblebici, Ali Çalhan, Murtaza Cicioğlu
Automatic modulation recognition is a promising solution for identifying and classifying signals received in heterogeneous wireless networks. In dynamic and autonomous environments, receivers must extract the relevant signal from various modulated signals to enable further communication procedures. Machine learning, including its sub-branches for classification problems, offers promising operational
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Orthonormal pilot-based channel estimation with low complexity phase shift optimization and coverage enhancement for IRS-assisted B5G communication Phys. Commun. (IF 2.2) Pub Date : 2024-01-05 Gyana Ranjan Mati, Susmita Das
Beyond fifth-generation (B5G) technology features millimeter wave (mmWave) to ensure low latency and high capacity while enabling multiple-input and multiple-output (MIMO) facilities. MMWave signals are attenuated over short distances, resulting in a smaller coverage area. The B5G network relies on Intelligent Reflecting Surfaces (IRS) for reducing mmWave attenuation. IRS increases mmWave coverage
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Dynamic resource allocation in IRS-assisted UAV wideband cognitive radio networks: A DDQN-TD3 approach Phys. Commun. (IF 2.2) Pub Date : 2024-01-04 Hui Wei, Jingyi Lang
Intelligent reflecting surface (IRS) technology has found extensive application in the wireless communication domain, offering significant enhancements in communication performance by manipulating the reflection of electromagnetic waves. This research article delves into the domain of UAV-assisted wideband cognitive radio networks augmented by IRS and underpinned by sensing-based spectrum sharing techniques
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A novel resource allocation scheme for full-duplex NOMA systems with power splitting-based SWIPT Phys. Commun. (IF 2.2) Pub Date : 2023-12-31 Mahdieh Ghasemlou, Naaser Neda, Jalil S. Harsini
This paper introduces novel resource allocation (RA) algorithms for optimizing wireless network performance, focusing on a full-duplex (FD) base station (BS) employing non-orthogonal multiple access (NOMA) technology. Motivated by the intriguing trade-off introduced by the simultaneous wireless information and power transfer (SWIPT) scheme, in which achievable data rates are sacrificed to enhance harvested
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A cooperative spectrum sensing method based on semi-supervised clustering with variational mode decomposition and information geometry Phys. Commun. (IF 2.2) Pub Date : 2023-12-30 Yonghua Wang, Zuhui Wei, Guanghai Xu
In practice, obtaining a large number of sample labels for the supervised learning-based cooperative spectrum sensing (CSS) method is challenging. Additionally, the CSS method based on information geometry (IG) and clustering algorithm exhibited low detection performance in low signal-to-noise ratio (SNR) environment. This paper proposes a cooperative spectrum sensing method based on variational mode
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Design of a multidimensional data collection system based on DRS4 scheme Phys. Commun. (IF 2.2) Pub Date : 2023-12-30 Xuefei Ruan, Daquan Li, Yongtao Hou
A high-speed data acquisition system based on DRS4 waveform digitization is designed to meet the requirements of high sampling rate, multi-parameter measurements, and long-distance transmission in some particle physics experiments. The system consists of a waveform digitization front-end board, a high-speed data transmission board, and an upper computer software. Test results show that the system has