Physical Communication最新文献_第2页

Adaptive coding and modulation in direct A2G communication link for inflight broadband connectivity 机载宽带直接A2G通信链路的自适应编码和调制

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2025-12-25 DOI: 10.1016/j.phycom.2025.102968

Amjed Ali, Noor Muhammad Khan

{"title":"Adaptive coding and modulation in direct A2G communication link for inflight broadband connectivity","authors":"Amjed Ali, Noor Muhammad Khan","doi":"10.1016/j.phycom.2025.102968","DOIUrl":"10.1016/j.phycom.2025.102968","url":null,"abstract":"<div><div>The growing demand for high-speed and reliable inflight broadband connectivity (IFC) presents unique challenges for direct air-to-ground communication (DA2GC) systems, especially when they operate in the millimeter-wave (mmWave) band. While mmWave frequencies offer high capacity and spectral efficiency, they are highly susceptible to atmospheric impairments such as rain attenuation, gaseous absorption, and Doppler effects (caused by aircraft mobility).</div><div>This study proposes a signal-to-noise ratio (SNR)-driven adaptive coding and modulation (ACM) framework specifically designed for DA2GC links. The goal is to enhance spectral efficiency and link reliability under time-varying channel conditions. The proposed ACM system dynamically selects the modulation and coding scheme (MCS) based on real-time channel feedback, ensuring robust performance in both favorable and adverse weather conditions.</div><div>A comprehensive DA2GC channel model is developed based on ITU-R recommendations. The model accounts for rain attenuation, polarization effects, antenna tilt, and altitude-dependent gas absorption. To capture the dynamics of high-mobility aeronautical environments, simulations employ a Rician fading model, with the Doppler coherence time used to define ACM block duration. The results indicate that rainfall can cause variations of up to 100 dB in the link budget, highlighting the importance of adaptive transmission strategies. Lower-order quadrature amplitude modulation (QAM) schemes with stronger coding ensure link availability during rain fades, while higher-order QAM schemes maximize throughput under clear-sky conditions.</div><div>The proposed ACM scheme demonstrates promising real-time adaptability, indicating its potential to support high-speed and reliable inflight connectivity. Future work will focus on uplink adaptation, energy-efficiency trade-offs, and the practical (particularly hardware) feasibility of onboard ACM implementation.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 102968"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980645","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

Performance analysis of IRS-aided full-duplex mmWave UAV systems using RSMA and antenna selection 基于RSMA和天线选择的irs辅助全双工毫米波无人机系统性能分析

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-01-07 DOI: 10.1016/j.phycom.2026.103003

Cong Hung Dinh , Xuan Nghia Pham , Xuan Nam Tran , Ba Cao Nguyen

{"title":"Performance analysis of IRS-aided full-duplex mmWave UAV systems using RSMA and antenna selection","authors":"Cong Hung Dinh , Xuan Nghia Pham , Xuan Nam Tran , Ba Cao Nguyen","doi":"10.1016/j.phycom.2026.103003","DOIUrl":"10.1016/j.phycom.2026.103003","url":null,"abstract":"<div><div>This article proposes a combination of emerging technologies, including rate-splitting multiple access (RSMA), full-duplex (FD) communications, unmanned aerial vehicle (UAV) communications, intelligent reflecting surfaces (IRS), and millimeter-wave (mmWave) communications, to enhance the performance of wireless systems in fifth-generation (5G) and beyond (B5G) networks with multiple clusters. We mathematically derive and present formulas for outage probability (OP), throughput, and ergodic capacity (EC) for the proposed IRS-aided UAV-RSMA system with transmit antenna selection (TAS), employing FD transmission over Nakagami-<em>m</em> channels. Numerical results demonstrate that the proposed system offers significant performance improvements over existing systems. Specifically, across different comparative scenarios, TAS provides higher performance than systems without TAS. Furthermore, RSMA outperforms non-orthogonal multiple access (NOMA), particularly in high-power regions, by reducing OP and preventing error floor saturation. Additionally, increasing the number of reflecting elements (REs) substantially enhances system performance. Moreover, key factors such as carrier frequency, number of REs, transmission rates, UAV speed and altitude, and residual self-interference (SI) levels play a crucial role in minimizing OP and maximizing throughput and EC. Finally, Monte-Carlo simulations are conducted to validate the accuracy of the theoretical formulas.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103003"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980707","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 improved matrix reconstruction method for the DOA estimation with unknown mutual coupling effects 一种改进的矩阵重构方法用于未知互耦效应下的DOA估计

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-01-12 DOI: 10.1016/j.phycom.2026.103006

Xiang Li , Peng Chen , Zhimin Chen , Zihang Li

{"title":"An improved matrix reconstruction method for the DOA estimation with unknown mutual coupling effects","authors":"Xiang Li , Peng Chen , Zhimin Chen , Zihang Li","doi":"10.1016/j.phycom.2026.103006","DOIUrl":"10.1016/j.phycom.2026.103006","url":null,"abstract":"<div><div>The analog structure is widely used for the direction-of-arrival (DOA) estimation in millimeter-wave systems because of its low power consumption and efficient implementation. However, due to the limited number of radio frequency (RF) chains in the architecture, it is infeasible to independently acquire data from each antenna and the inevitably mutual coupling effects will also make accurate DOA estimation become harder. These issues increase the challenge of achieving high-precision DOA estimations. To address these problems, a novel DOA estimation procedure is proposed in this letter to reconstruct the covariance matrix with high precision and reduce the effects of the mutual coupling on the DOA estimation. By adjusting the weights of each antenna, including switches and phase shifters, the covariance matrix is reconstructed and transformed into a real-valued matrix. Subsequently, through matrix enhancement, the covariance matrix can be appropriately modified to improve the accuracy of the DOA estimation in the presence of unknown mutual coupling effects. The simulation results show that the proposed algorithm achieves better DOA estimation performance in scenarios with unknown mutual coupling effects.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103006"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980710","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

Shallow water-oriented low-complexity iterative detector for underwater acoustic OTFS systems 面向浅水的水声OTFS系统低复杂度迭代探测器

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-01-07 DOI: 10.1016/j.phycom.2026.102999

Feng Liu, Jiahua Huang, Jun Gao

{"title":"Shallow water-oriented low-complexity iterative detector for underwater acoustic OTFS systems","authors":"Feng Liu, Jiahua Huang, Jun Gao","doi":"10.1016/j.phycom.2026.102999","DOIUrl":"10.1016/j.phycom.2026.102999","url":null,"abstract":"<div><div>Shallow water acoustic communication plays an important role in offshore exploration but faces challenges from both adverse channel conditions and resource-constrained equipment capabilities. OTFS modulation improves BER and spectral efficiency in such environments; however, existing detection methods such as MPA and LMMSE remain computationally intensive. Specifically, even the relatively more efficient MPA and related frameworks like DD-MRC still impose heavy computational burdens, while LMMSE exhibits extremely high complexity that is impractical for resource-limited devices. To address this, we propose a low-complexity iterative rake detector with delay-time domain maximal ratio combining (DT-MRC), which reduces redundancy via intermediate storage and domain transformations. Built on the delay-Doppler domain MRC (DD-MRC) framework, our contributions include developing DT-MRC for efficient shallow water detection and analyzing complexity-BER trade-offs. Extensive simulation results show that the proposed DT-MRC maintains nearly optimal BER performance (comparable to MPA and LMMSE) while achieving significantly lower complexity-reducing computational overhead by approximately 80% compared to MPA, over 99.9% compared to LMMSE, and about 95% compared to DD-MRC-thus meeting the requirements of marine equipment.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 102999"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980709","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

Design and performance of UAV-employed hybrid FSO/RF systems for weather-resilient 6G and beyond networks 无人机采用的混合FSO/RF系统的设计和性能，用于6G及以上的天气弹性网络

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 10.1016/j.phycom.2026.103040

Workeneh Geleta Negassa , Demissie J. Gelmecha , Ram Sewak Singh

{"title":"Design and performance of UAV-employed hybrid FSO/RF systems for weather-resilient 6G and beyond networks","authors":"Workeneh Geleta Negassa , Demissie J. Gelmecha , Ram Sewak Singh","doi":"10.1016/j.phycom.2026.103040","DOIUrl":"10.1016/j.phycom.2026.103040","url":null,"abstract":"<div><div>This study investigates the performance and optimization of a UAV-assisted hybrid Free Space Optics (FSO) and Radio Frequency (RF) communication system within a Space-Air-Ground Integrated Network (SAGIN) framework designed for 6G. The paper aims to enhance system reliability, energy efficiency, and capacity in dynamic environments affected by weather variability and the mobility of UAVs. The proposed hybrid architecture combines the high bandwidth of FSO with the robustness of RF, utilizing UAVs as relay nodes to counteract atmospheric attenuation, turbulence, pointing errors, and changing link conditions. FSO channels are modeled using Gamma-Gamma and Exponential Weibull distributions, while RF links consider Nakagami-m fading to reflect real-world impairments. Five advanced UAV relay selection strategies, Adaptive Threshold-Based Selection, Weighted SNR Optimization, Energy-Efficient Relay Selection, Multi-Objective Optimization, and Dynamic Multi-Hop Relay, are introduced to enhance SNR, energy efficiency, and reliability. A novel algorithm, Weather-Resilient Multi-Objective Swarm and Proximal Optimization with Dynamic Relay Selection (WRMSPO-DRS), is developed to optimize UAV trajectories and relay selection through weather-adaptive step sizes, proximal regularization, and energy harvesting via Simultaneous Lightwave Information and Power Transfer (SLIPT). Simulation results demonstrate strong performance under various conditions: in clear air, the system achieves a BER of 10<sup>−7</sup> and an outage probability of 10<sup>−6</sup> at 0 dBm (m = 3), three-hop relay configurations reach outage probabilities as low as 10<sup>-30</sup>. The system's robustness further improves with higher RF quality and larger receiver apertures. These findings highlight the effectiveness of the hybrid FSO/RF system and intelligent relay selection in ensuring resilient 6G communications in challenging, dynamic environments.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103040"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397580","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 complex-valued neural network approach to passive intermodulation suppression 无源互调抑制的复值神经网络方法

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI: 10.1016/j.phycom.2026.103050

Susong Yang , Houjun Wang , Shui Yu , Jintao Li

{"title":"A complex-valued neural network approach to passive intermodulation suppression","authors":"Susong Yang , Houjun Wang , Shui Yu , Jintao Li","doi":"10.1016/j.phycom.2026.103050","DOIUrl":"10.1016/j.phycom.2026.103050","url":null,"abstract":"<div><div>Artificial neural networks have recently emerged as a promising tool for digital suppression of passive intermodulation, yet most studies remain restricted to a small number of transceiver chains and do not address realistic multi-channel deployments. This paper proposes a neural PIM suppression framework for multi-carrier and multi-channel transceivers and studies multilayer perceptron (MLP) and Kolmogorov–Arnold network (KAN) architectures within a compact three-layer model. To balance the limited flexibility of standard MLPs with the computational overhead of KANs, we introduce a streamlined KAN design called SKAN by pruning the edge function to keep only the trainable spline basis expansion. We further tailor SKAN to complex-valued baseband signals through an amplitude-phase structure that preserves phase while applying the nonlinear mapping to the amplitude, which improves feature extraction efficiency and reduces inference cost. We validate the proposed approach on a commercial mobile base station equipped with eight transceiver channels under dual carrier operation. Across this setup, SKAN achieves stronger PIM suppression and faster convergence with fewer trainable parameters and fewer floating-point operations than neural baselines, indicating that it is an effective and scalable solution for practical multi-channel PIM mitigation.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103050"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397584","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 comprehensive systematic literature review on security and authentication techniques for wireless body area network (WBAN) 无线体域网络（WBAN）安全与认证技术的文献综述

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 10.1016/j.phycom.2026.103038

Navjot Kaur Sekhon , Navneet Kaur

{"title":"A comprehensive systematic literature review on security and authentication techniques for wireless body area network (WBAN)","authors":"Navjot Kaur Sekhon , Navneet Kaur","doi":"10.1016/j.phycom.2026.103038","DOIUrl":"10.1016/j.phycom.2026.103038","url":null,"abstract":"<div><div>Wireless Body Area Network (WBAN) have emerged as a transformative technology in healthcare and wellness monitoring, enabling real-time data collection, remote patient observation, and early disease detection. Numerous studies have explored WBAN architectures, security protocols, and authentication mechanisms, yet their findings remain fragmented across different applications and standards. This work presents a comprehensive systematic literature review focusing on security and authentication techniques in WBAN, evaluating their strengths, limitations, and technology readiness levels. Despite significant progress, a lack of unified, lightweight, and energy-efficient security solutions remains, which fail to address interoperability, device constraints, and evolving cyber threats in real-world healthcare deployments. Our review consolidates findings from 129 research papers (2013–2025) to develop a taxonomy of WBAN security and authentication techniques, highlighting key research trends. We adopted a systematic approach, screening articles from IEEE Xplore, ScienceDirect, ACM Digital Library, and other repositories using defined inclusion/exclusion criteria and Technology Readiness Level (TRL) based evaluation. The study categorises contributions based on areas of specialisation (e.g., clinical care, fitness, IoT integration) and employs thematic analysis to classify techniques as per their TRL levels. The review identifies critical issues like Confidentiality, Integrity, Availability (CIA), and a taxonomy of security authentication techniques with their comparative analysis.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103038"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397585","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

HRVM-UNet: Dual-path vision mamba U-Net with frequency-aware skip fusion for high-resolution remote sensing semantic segmentation HRVM-UNet：用于高分辨率遥感语义分割的频率感知跳跃融合双路径视觉曼巴U-Net

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-01 DOI: 10.1016/j.phycom.2026.103021

Tao Liu, Xinpei Wang, Yuxuan Deng

{"title":"HRVM-UNet: Dual-path vision mamba U-Net with frequency-aware skip fusion for high-resolution remote sensing semantic segmentation","authors":"Tao Liu, Xinpei Wang, Yuxuan Deng","doi":"10.1016/j.phycom.2026.103021","DOIUrl":"10.1016/j.phycom.2026.103021","url":null,"abstract":"<div><div>High-resolution remote sensing semantic segmentation requires simultaneously modeling long-range spatial dependencies and preserving fine-grained boundaries. Convolutional networks are efficient but often struggle to capture global context, whereas Transformers incur quadratic self-attention cost on large images. To address these issues, we propose HRVM-UNet, an asymmetric encoder–decoder segmentation framework built upon Vision Mamba (VMamba). HRVM-UNet introduces (i) a dual-path HR-VSS block that couples a selective-scan state-space global path with a multi-scale dilated-convolution local path, enabling complementary global–local representation learning; and (ii) a Frequency-Aware Skip Fusion (FASF) module that formulates skip integration as spatial–frequency coupling: CARAFE-style content-adaptive upsampling restores structural consistency, DCT-based multi-spectral channel attention emphasizes boundary and texture cues, and a lightweight gate adaptively balances encoder–decoder information. In addition, a top-down feature pyramid is employed to enhance multi-scale representations, and the final decoding stage is strengthened with stacked HR-VSS blocks and coordinate attention for refined spatial localization. Experiments on three public datasets (ISPRS Vaihingen, ISPRS Potsdam, and LoveDA) demonstrate that HRVM-UNet consistently improves segmentation performance and produces sharper object boundaries compared with strong CNN-, Transformer-, and Mamba-based baselines, and our per-class and ablation analyses attribute the gains to the proposed global–local modeling and frequency-aware fusion strategy.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103021"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397586","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

Throughput and harvested energy optimization in RIS-assisted multi-user OFDMA-SWIPT systems ris辅助多用户OFDMA-SWIPT系统的吞吐量和收获能量优化

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-04 DOI: 10.1016/j.phycom.2026.103033

Mahendra Tyagi, Sumit Gautam

{"title":"Throughput and harvested energy optimization in RIS-assisted multi-user OFDMA-SWIPT systems","authors":"Mahendra Tyagi, Sumit Gautam","doi":"10.1016/j.phycom.2026.103033","DOIUrl":"10.1016/j.phycom.2026.103033","url":null,"abstract":"<div><div>Reconfigurable Intelligent Surface (RIS) is a promising technology that enables control of a wireless environment to boost system performance. It has attracted attention in the context of beyond 5G (B5G) wireless communication. The demand for power and data in the Internet-of-Things (IoT) applications is envisioned to be fulfilled using RIS with the Simultaneous Wireless Information and Power Transfer (SWIPT) technique. In this paper, we explore RIS-assisted multi-user (MU) orthogonal frequency division multiple access (OFDMA), where users are capable of enabling SWIPT by utilizing either Time Switching (TS) or Power Splitting (PS) protocols of SWIPT. We intend to optimize the performance of RIS-assisted SWIPT-IoT systems, with focus on maximization of two distinct objectives, viz., Sum-Rate and sum-Energy Harvesting (EH), while adhering to Quality-of-Service (QoS) constraints by optimizing the PS/TS factor, sub-carrier assignment matrix, and power allocation to sub-carriers. The proposed alternating optimization-based algorithmic solutions are compared with the asymptotic solution based on the Block Coordinate Descent (BCD) technique while considering the Practical Discrete Phase Shift (PDPS) Model of RIS. It is clear from the results of our simulation that a greater number of RIS elements and sub-carriers is required to achieve a higher throughput and sum-EH.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103033"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397926","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

Techniques for physical layer equalization and monitoring in radio-over-fiber: DSP and machine learning perspectives 光纤无线电中物理层均衡和监控技术：DSP和机器学习的观点

IF 2.2 4区计算机科学

Physical Communication Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.phycom.2026.103036

César A. Montoya Ocampo, Kevin D. Martinez Zapata, Jhon J. Granada Torres

{"title":"Techniques for physical layer equalization and monitoring in radio-over-fiber: DSP and machine learning perspectives","authors":"César A. Montoya Ocampo, Kevin D. Martinez Zapata, Jhon J. Granada Torres","doi":"10.1016/j.phycom.2026.103036","DOIUrl":"10.1016/j.phycom.2026.103036","url":null,"abstract":"<div><div>Radio-over-fiber (RoF) systems are essential to the convergence of optical and wireless networks, serving as key enablers for future high-capacity broadband and 5G/6G applications. However, scaling capacity requires effective strategies for channel equalization and impairment mitigation to overcome complex nonlinearities, particularly at high frequencies. Traditional digital signal processing (DSP) methods are nearing their limits in dynamic scenarios. Thus, this paper addresses a significant lack in the literature by providing a comprehensive bibliometric and systematic analysis to objectively define the evolving roles of established DSP and emerging machine learning (ML) within this critical domain. By analyzing the co-evolution of key research themes, our approach confirms that the field is characterized by a structural coexistence between the two paradigms, rather than simple replacement. The primary results demonstrate that ML techniques, particularly deep learning (DL), establish functional superiority in compensating complex, high-order impairments in high-frequency bands. However, we identify a critical research gap in intelligent monitoring; while ML has high potential for multi-parameter estimation, it remains a niche interest often handled separately across optical and wireless layers. This drives the most pragmatic solution: hybrid DSP+ML architectures. These architectures balance DSP’s computational efficiency, which sets a demanding benchmark for resource consumption, with ML’s intelligence to achieve superior performance under strict cost, size, and power (C-S-P) constraints. The main finding is that this integration is transforming the RoF physical layer, shifting the focus from purely corrective equalization toward predictive, system-level control. The next critical challenges for commercial deployment are the successful implementation of real-time hardware and the standardization of public datasets.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"75 ","pages":"Article 103036"},"PeriodicalIF":2.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397929","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