Physical Communication最新文献

Physical layer security performance of cooperative backscatter-NOMA communication systems for multi-tags and multi-eavesdroppers

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-27 DOI: 10.1016/j.phycom.2025.102671

Gaojian Huang , Yuhui Zhou , Peiqing Guo , Xilai Wang , Xingwang Li , Junxia Li , Gang Yang

{"title":"Physical layer security performance of cooperative backscatter-NOMA communication systems for multi-tags and multi-eavesdroppers","authors":"Gaojian Huang , Yuhui Zhou , Peiqing Guo , Xilai Wang , Xingwang Li , Junxia Li , Gang Yang","doi":"10.1016/j.phycom.2025.102671","DOIUrl":"10.1016/j.phycom.2025.102671","url":null,"abstract":"<div><div>Ambient backscatter communication (AmBC) and non-orthogonal multiple access (NOMA) are promising techniques for addressing low power consumption and high spectral efficiency in the Internet of Things. This paper investigates a cooperative NOMA-AmBC symbiotic network with a tag selection strategy, analyzing its impact on communication performance in terms of reliability and security. An optimal tag selection strategy is used at backscatter devices (BDs) to improve system reliability. Closed-form expressions for outage probability (OP) and intercept probability (IP) are derived to characterize security performance, with their approximations and diversity gains analyzed at high signal-to-noise ratios. Given the vulnerability of BDs to eavesdroppers, IP is analyzed for both non-collusive and collusive scenarios. The analysis and simulation results show that the optimal tag selection scheme can achieve higher reliability. Moreover, altering the relevant system parameters can optimize the performance trade-off between reliability and security. It is also concluded that colluding eavesdroppers use shared eavesdropping information to enhance intercepting attacks, further compromising the system’s security.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102671"},"PeriodicalIF":2.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738980","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

A group-based coarse-fine algorithm for intelligent reflecting surface beamforming

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-24 DOI: 10.1016/j.phycom.2025.102668

Shahriar Shirvani Moghaddam , Kiaksar Shirvani Moghaddam

{"title":"A group-based coarse-fine algorithm for intelligent reflecting surface beamforming","authors":"Shahriar Shirvani Moghaddam , Kiaksar Shirvani Moghaddam","doi":"10.1016/j.phycom.2025.102668","DOIUrl":"10.1016/j.phycom.2025.102668","url":null,"abstract":"<div><div>In the optimization problem of an intelligent reflecting surface (IRS) -assisted or -aided wireless communication system, which is usually a non-convex combinatorial single-objective/multi-objective non-deterministic polynomial hard problem, both the non-binary parameters of the system model and binary weights of the IRS elements are found to maximize the objective function. In this paper, we convert the original optimization problem into two problems. The primary problem is finding the desired IRS array factor without focusing on the binary weights. The secondary one is finding the binary weights of the IRS elements to reach the desired array factor with minimum error. We model and solve the secondary problem using an algorithm to activate/deactivate elements of the IRS. First, the proposed algorithm generates random matrices consisting of 0/1 weights, which create array factors with a tolerable error, and selects the matrix with minimum error. Second, it changes the weights of the matrix one by one up to the second predefined iteration number and saves it if the error is reduced. For 36 elements with 0.5 wavelength inter-element spacing, a tolerable amount of error of 0.1, and 1000 iterations, all-on, improved all-on, constrained random on-off, improved constrained random on-off, and Genetic solutions show 25%, 21%, 11%, 5%, and 7% error, respectively. In addition to the computational complexity, the complexity order of the proposed algorithm is derived and compared with both exhaustive search and the Genetic algorithm. Furthermore, the precision, processing time, and the difference between the obtained and desired weights are compared in 2 × 2-dimension to 10 × 10-dimension configurations.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102668"},"PeriodicalIF":2.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704717","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

MDRD-Based Channel State Information Acquisition Scheme for Intelligent Reflecting Surface-Aided Wireless Communication Systems

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-21 DOI: 10.1016/j.phycom.2025.102667

Jihong Wang , Hongyu Yang , Zhuo Wang , Conghui Li

{"title":"MDRD-Based Channel State Information Acquisition Scheme for Intelligent Reflecting Surface-Aided Wireless Communication Systems","authors":"Jihong Wang , Hongyu Yang , Zhuo Wang , Conghui Li","doi":"10.1016/j.phycom.2025.102667","DOIUrl":"10.1016/j.phycom.2025.102667","url":null,"abstract":"<div><div>The performance gains of intelligent reflecting surface (IRS)-aided wireless communication systems are highly dependent on the precise acquisition of channel state information (CSI). In IRS-aided wireless communication systems that employ model-driven CSI acquisition schemes, it is typically difficult to adapt to changes in the environment or user positions. The inadequate accuracy of CSI acquisition severely restricts the beamforming gains that IRS can bring to the system. Benefiting from minimal reliance on channel models and effective online estimation, data-driven CSI acquisition approaches are emerging as a research hotspot in IRS-aided wireless communication systems. However, in IRS-aided wireless communication systems using data-driven CSI acquisition schemes, a standard neural network is usually adopted, rather than constructing specialized architectures tailored to data characteristics, leaving room for further performance improvements. For obtaining more accurate real-time CSI and maximizing the performance gains brought by IRS, the CSI acquisition challenge is modelled as a denoising task, and a multi-scale dense residual denoising convolutional neural network (MDRD)-based denoising scheme is introduced in this paper. The scheme repeatedly adopts denoising blocks based on residual structures with short-skip connections and multi-scale convolutional kernels for network construction. The MDRD denoising model, with parameters set during offline training, is subsequently applied in the online application phase for CSI acquisition. Simulation results indicate that the MDRD-based CSI acquisition scheme achieves a relative enhancement of at least 36.2 % in CSI estimation accuracy at the cost of an almost negligible performance loss in denoising speed, thereby effectively balancing the accuracy and real-time capabilities of CSI acquisition.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102667"},"PeriodicalIF":2.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685851","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

Uplink power control for cell-free massive MIMO URLLC systems over aging and spatially correlated channels

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-20 DOI: 10.1016/j.phycom.2025.102654

Xiaoqiao Yang, Wenjiang Feng, Donggen Li, Li Zhu, Xinxin Ma

{"title":"Uplink power control for cell-free massive MIMO URLLC systems over aging and spatially correlated channels","authors":"Xiaoqiao Yang, Wenjiang Feng, Donggen Li, Li Zhu, Xinxin Ma","doi":"10.1016/j.phycom.2025.102654","DOIUrl":"10.1016/j.phycom.2025.102654","url":null,"abstract":"<div><div>This paper investigates the impact of channel aging on the performance of cell-free (CF) massive multiple-input multiple-output (MIMO) systems for ultra-reliable low-latency communication (URLLC), considering spatial correlation and pilot contamination. Closed-form expressions are derived for the uplink achievable rate under finite block length (FBL) and maximum ratio combining (MRC). To maximize the weighted sum rate for all users, a maximum power optimization problem is formulated. The original non-convex problem is transformed into a series of geometric programming (GP) problems using successive convex optimization (SCO) and logarithmic methods, which are solved iteratively. The numerical results verify the correctness of our derived closed expression for the achievable rate under the FBL. Channel aging significantly degrades the performance of CF massive MIMO URLLC systems. Moreover, the proposed maximum power allocation strategy improves the 95%-likely per-user uplink spectral efficiency (SE) compared to systems without power control, effectively mitigating the adverse effects of channel aging.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102654"},"PeriodicalIF":2.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685854","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

WS-CACNN algorithm for robust adaptive beamforming

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-20 DOI: 10.1016/j.phycom.2025.102666

Fulai Liu , Hao Qin , Ziyuan Sun , Ruiyan Du

{"title":"WS-CACNN algorithm for robust adaptive beamforming","authors":"Fulai Liu , Hao Qin , Ziyuan Sun , Ruiyan Du","doi":"10.1016/j.phycom.2025.102666","DOIUrl":"10.1016/j.phycom.2025.102666","url":null,"abstract":"<div><div>The increased signal bandwidth and steering vector mismatch error lead to degradation of beamforming performance. Besides, the focusing transformation and convex optimization affect the real-time performance. To address aforementioned problems, this paper presents a channel attention atrous convolutional neural network (CACNN)-based wideband signal (WS) beamforming method to accurately and quickly predict the weight vector, named WS-CACNN. Firstly, the proposed CACNN introduces atrous convolutions to decrease the quantity of network parameters and extract the spatial feature information of the sample covariance matrix, which are achieved without adding more parameters by enlarging the receptive field. Secondly, a channel attention mechanism is introduced to extract important amplitude and phase information, thereby improving the prediction accuracy of the beamforming weight vector. Then, using the robust adaptive wideband beamforming weight vector as the training label, maximizing output signal-to-noise ratio is able to be achieved through training the proposed CACNN network. Finally, the sample covariance matrix is input of a well-trained CACNN model which outputs the near-optimal weight vector. The simulation results indicate that the WS-CACNN algorithm not only outputs near-optimal wideband beamforming weight vector but also achieves excellent real-time performance.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102666"},"PeriodicalIF":2.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685853","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

A security enhancement analysis of full duplex cooperative rate-splitting

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-19 DOI: 10.1016/j.phycom.2025.102665

Yuyang Tian, Qiwei Huai, Yuanyi Liang, Yue Wu, Weina Yuan

引用次数: 0

Cell-free massive MIMO with limited-capacity backhaul: Power control and quantization optimization

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-19 DOI: 10.1016/j.phycom.2025.102652

Hanquan Gu, Qi Zhang, Zewei Chai, Jun Zhang

{"title":"Cell-free massive MIMO with limited-capacity backhaul: Power control and quantization optimization","authors":"Hanquan Gu, Qi Zhang, Zewei Chai, Jun Zhang","doi":"10.1016/j.phycom.2025.102652","DOIUrl":"10.1016/j.phycom.2025.102652","url":null,"abstract":"<div><div>Cell-free massive multiple-input multiple-output (CF-mMIMO) has drawn considerable attention recently due to the advanced performance. However, its application is constrained by the practical limitation of backhaul capacity. In this paper, we study a CF-mMIMO system with limited-capacity backhaul, and compress the amount of transmitted data by adjusting the signal quantization accuracy. Different from previous works, we assume a flexible quantization noise power among different backhauls, and both the uplink pilot and downlink data quantization are considered. With zero-forcing precoding, the energy efficiency of the user is derived after considering the power consumption on the system. Based on it, we jointly optimize the data power control and the quantization noise power that maximizes the energy efficiency, through an alternative process. Simulations have verified the effectiveness of our optimal results. Moreover, we find that to achieve the best energy efficiency, different quantization accuracies should be employed on different backhaul, when the access point and the central processing unit transmit information to each other.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102652"},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704716","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

Passive metasurface reflector for 6G wireless signal coverage enhancement in indoor environment: Design and experimental demonstrations

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-15 DOI: 10.1016/j.phycom.2025.102664

Sunanda Mukhopadhyay , Abhishek Sarkhel , Partha Pratim Sarkar , Satyendra Singh Yadav

{"title":"Passive metasurface reflector for 6G wireless signal coverage enhancement in indoor environment: Design and experimental demonstrations","authors":"Sunanda Mukhopadhyay , Abhishek Sarkhel , Partha Pratim Sarkar , Satyendra Singh Yadav","doi":"10.1016/j.phycom.2025.102664","DOIUrl":"10.1016/j.phycom.2025.102664","url":null,"abstract":"<div><div>This article presents a passive metasurface reflector (PMR) for signal cover enhancement in sub-6 GHz in an indoor environment. To obtain this, initially, a methodological study to characterize a miniaturized PMR meta-cell with an overall aperture of 0.22 <span><math><msub><mrow><mi>λ</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> and a thickness of 0.017 <span><math><msub><mrow><mi>λ</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> at 3.3 GHz has been analyzed. Afterward, the reflection characteristics are estimated using the vector synthesis method to predict the far-field scattering beam patterns accurately. Further, the phase gradient profile between consecutive meta-cells of the passive reflector has been generated by altering the coding sequences to tailor the scattered beams in a customized way. Finally, the proposed PMR has been further employed for signal coverage enhancement in blind areas of L-shaped and T-shaped corridors. The simulation results had been validated with the measurement results. It is observed that the proposed PMR achieves 58 dBm and 42 dBm signal enhancement in L and T-shaped corridors, respectively. This research is vivid proof that a PMR is a suitable candidate for 6G FR1 band wireless signal enhancement in an indoor environment due to its low cost and ease of installation on indoor walls.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102664"},"PeriodicalIF":2.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685852","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

RIS-enhanced UAV-assisted transmission rate optimization with anti-jamming

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-14 DOI: 10.1016/j.phycom.2025.102656

Zilu Liu , Qichao Xu

{"title":"RIS-enhanced UAV-assisted transmission rate optimization with anti-jamming","authors":"Zilu Liu , Qichao Xu","doi":"10.1016/j.phycom.2025.102656","DOIUrl":"10.1016/j.phycom.2025.102656","url":null,"abstract":"<div><div>With the rapid advancement of communication technologies, reconfigurable intelligent surface (RIS)-enhanced unmanned aerial vehicles (UAVs) have emerged as a promising solution for providing wireless communication services to ground users (GUs). However, due to the mobilities of both GUs and UAVs, as well as potential jamming, supporting high-quality wireless communications remains a significant challenge. To address this issue, in this paper, we propose a RIS-enhanced UAV-assisted uplink transmission rate optimization scheme with anti-jamming capabilities. Specifically, we first develop a RIS-enhanced UAV-assisted wireless communication framework, where the RIS-enhanced UAV facilitates data transmission between GUs and the base station (BS), while mitigating the effect of jamming. We then formulate an optimization problem aimed at maximizing the uplink transmission rate of each GU by optimizing the RIS’s phase shifts. Furthermore, we design a complex circular manifold optimization (CCMO)-based algorithm to achieve the optimal phase shift configuration. Finally, extensive simulations demonstrate that the proposed scheme outperforms benchmark schemes in terms of transmission rate.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102656"},"PeriodicalIF":2.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654775","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

Maximization of sum-rate capacity in MU-MIMO Broadcast system with computationally efficient algorithms

IF 2 4区计算机科学

Physical Communication Pub Date : 2025-03-13 DOI: 10.1016/j.phycom.2025.102653

Swadhin Kumar Mishra , Lipsikha Padhy , Arunanshu Mahapatro , Prabina Pattanayak

{"title":"Maximization of sum-rate capacity in MU-MIMO Broadcast system with computationally efficient algorithms","authors":"Swadhin Kumar Mishra , Lipsikha Padhy , Arunanshu Mahapatro , Prabina Pattanayak","doi":"10.1016/j.phycom.2025.102653","DOIUrl":"10.1016/j.phycom.2025.102653","url":null,"abstract":"<div><div>The aim of this paper is to optimize the sum-rate in a wireless system with multiple users and multiple inputs and multiple outputs (MU-MIMO). The optimal value of the channel rate is achieved using the dirty paper coding (DPC) technique. But the DPC is accompanied by a large computational complexity and a requirement for complete channel state information (CSI) at the transmitter. The complexity of the system grows exponentially with the number of users. So, the DPC is practically prohibitive in networks with low latency and high data rate requirements. To achieve near-optimal channel capacity in a MU-MIMO broadcast (BC) system, we apply meta-heuristic optimization methods to select an optimal set of antennas from both the base station (BS) and receiver side. The selection process is accomplished by recently developed arithmetic optimization algorithm (AOA) and golden jackal optimization (GJO) algorithms, and it is seen that these optimization strategies provide almost the same throughput as DPC. Along with that, the computational and temporal complexity of the optimization algorithms is insignificant in comparison to the complexity of DPC. We propose modified versions of the GJO and AOA algorithms and utilize them in the MU-MIMO and also in massive MIMO systems. The results show that, in terms of throughput, the AOA algorithm outperforms the GJO algorithm in the MIMO BC system as well as in massive MIMO system.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102653"},"PeriodicalIF":2.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642206","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