Journal of Communications最新文献_第3页

A Piecewise Linear Model for Passive Intermodulation Distortion 无源互调失真分段线性模型

Journal of Communications Pub Date : 2024-03-01 DOI: 10.12720/jcm.19.3.161-167

Khaled M. Gharaibeh

引用次数: 0

Channel Estimation Methods for Frequency Hopping System Based on Machine Learning 基于机器学习的跳频系统信道估计方法

Journal of Communications Pub Date : 2024-03-01 DOI: 10.12720/jcm.19.3.143-151

Mahmoud M. Qasaymeh, Ali A. Alqatawneh, Ahmad F. Aljaafreh

{"title":"Channel Estimation Methods for Frequency Hopping System Based on Machine Learning","authors":"Mahmoud M. Qasaymeh, Ali A. Alqatawneh, Ahmad F. Aljaafreh","doi":"10.12720/jcm.19.3.143-151","DOIUrl":"https://doi.org/10.12720/jcm.19.3.143-151","url":null,"abstract":"—Frequency Hopping (FH) spread spectrum system is extensively used in military and civilian fields due to its robustness against interference and efficiency in confronting radio jamming. Channel estimation is a crucial part of the FH system. However, signal processing-based channel estimation methods have some constraints, such as high computational complexity, sensitivity to noise level, and excessive overhead. To alleviate these issues, we propose a Machine Learning (ML) model for precisely estimating Narrow Band (NB) multipath fading channel parameters for a Slow Frequency Hopping (SFH) spread spectrum system. In the proposed model, we employed a Neural Network (NN) with three layers consisting of an input layer that interprets the signal's fundamental patterns, a hidden layer to extract the correlation found in the time scene, and an output layer that utilizes a linear activation function to provide the flexibility required to address the dynamic relationship between channel gain and time delay. Without prior experience, leveraging a synthetic dataset rich in complex temporal variations and channel gain nuances, the NN architecture, characterized by multiple dense layers, effectively captures complex temporal relationships. Following rigorous training and validation utilizing the Mean-Square Error (MSE) loss function, the model significantly reduced loss, emphasizing its proficiency for an accurate delay and gain estimation. A computer simulation comparison between the performance of the proposed model and previous classical models was included in this paper. Based on simulation results, the proposed ML-based estimator model significantly outperforms many classical subspace-based methods in terms of MSE, the performance improvement appears over several Signal-to-Noise Ratios (SNR). Furthermore, the proposed model provided a reasonable tradeoff between complexity and performance.","PeriodicalId":53518,"journal":{"name":"Journal of Communications","volume":"49 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140407258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Evaluation of EADQR Across Various Path Loss Models Through Propagation Analysis 通过传播分析评估不同路径损耗模型下的 EADQR 性能

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.119-126

Mohamed Najmus Saqhib, Lakshmikanth S.

{"title":"Performance Evaluation of EADQR Across Various Path Loss Models Through Propagation Analysis","authors":"Mohamed Najmus Saqhib, Lakshmikanth S.","doi":"10.12720/jcm.19.2.119-126","DOIUrl":"https://doi.org/10.12720/jcm.19.2.119-126","url":null,"abstract":"—Wireless Sensor Networks (WSNs) play a vital role in Internet of Things (IoT) technology by facilitating data collection and transmission through small wireless sensors. Path loss, influenced by environmental factors, significantly impacts WSN performance, affecting communication range and sensor reliability. This emphasizes the importance of considering path loss in WSN design and optimization. The proposed work aims to evaluate a sink-led decentralized routing system designed to enhance network longevity and minimize energy consumption under various propagation loss models. The methodology employs an energy-aware model to select initiator nodes, creating multiple paths and reducing redundancy. For improved quality of service, the system picks a forward relay node based on factors like remaining energy, the quality of the radio link between adjacent nodes, and proximity to the sink node. A fuzzy logic-based decision-making process is used to identify the most optimal path among the multitude of possible pathways. The research seeks to demonstrate the impact of path loss on crucial network metrics, such as end-to-end delay, hop count, energy usage, and the number of active nodes in a WSN topology. Simulations provide a comprehensive understanding of the impact of path loss on key network metrics. Computational outcomes, derived from Received Signal Strength Indicator (RSSI) values for near-surface wave propagation, showcase that the Energy Aware Data Centric Query Driven Receiver initiated (EADQR) protocol excels in scenarios characterized by substantial environmental clutter, as represented by the clutter factor and HATA suburban models. The energy-aware strategy mitigates path loss and energy depletion, thereby prolonging the operational lifespan of the network.","PeriodicalId":53518,"journal":{"name":"Journal of Communications","volume":"45 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140463703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectral-Efficient and Power-Efficient MIMOOFDM System with Time Diversity for Flat Fading Channel with Arbitrary Doppler Frequency Shift 针对具有任意多普勒频移的平坦衰减信道的具有时间分集功能的高频谱效率和高功率效率 MIMOOFDM 系统

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.53-64

Eman Zakaria, Ashraf Y. Hassan, H. EL Hennawy, Abdelhady M. Abdelhady

引用次数: 0

FT-CSMA: A Fine-Tuned CSMA Protocol for LoRa-Based Networks FT-CSMA：基于 LoRa 网络的微调 CSMA 协议

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.65-77

Chaib Mostefa, Tahar Abbes Mounir, Allali Mahamed Abdelmadjid, Abdelouahab Nouar

引用次数: 0

Machine Learning for Channel Coding: A Paradigm Shift from FEC Codes 信道编码的机器学习：从 FEC 编码到范式转变

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.107-118

Kayode A. Olaniyi, Reolyn Heymann, Theo G. Swart

引用次数: 0

Efficient Generation of Puncturing-Assisted Rate-Matched 5G New Radio LDPC Codes for Faster-Than-Nyquist Signaling 高效生成穿刺辅助速率匹配的 5G 新无线电 LDPC 编码，以实现更快超奈奎斯特信令

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.90-98

Asma A. Alqudah, Khaled F. Hayajneh, Hasan A. Aldiabat, Hazim M. Shakhatreh

{"title":"Efficient Generation of Puncturing-Assisted Rate-Matched 5G New Radio LDPC Codes for Faster-Than-Nyquist Signaling","authors":"Asma A. Alqudah, Khaled F. Hayajneh, Hasan A. Aldiabat, Hazim M. Shakhatreh","doi":"10.12720/jcm.19.2.90-98","DOIUrl":"https://doi.org/10.12720/jcm.19.2.90-98","url":null,"abstract":"—This paper presents a comprehensive analysis of the utilization of rate-matched 5G New Radio (NR) Low-Density Parity Check (LDPC) codes for decoding faster-than-Nyquist signaled data symbols in an Additive White Gaussian Noise (AWGN) channel. The rate-matching techniques employing message-bit and parity-bit puncturing are thoroughly explained, showcasing the applications of various rates during the coding process. Moreover, in conjunction with the aforementioned rate-matching and puncturing methods, a puncturing scheme is employed on the first two columns of the parity-check matrix derived from the 5G NR LDPC base graphs. The performance of the 5G NR LDPC code, integrated as the outer decoder in turbo equalization for faster-than-Nyquist signaled data symbols, is thoroughly investigated. The achieved results are compared with the performance of convolutional codes implemented in the same system setup and operating at identical code rates. By analyzing the employment of rate-matched 5G NR LDPC codes, this paper provides valuable insights into their efficacy for decoding faster-than-Nyquist signaled data symbols in the AWGN channel. The comparison with convolutional codes offers a benchmark for performance evaluation, facilitating a deeper understanding of the benefits and trade-offs associated with each coding scheme.","PeriodicalId":53518,"journal":{"name":"Journal of Communications","volume":"41 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Machine Learning Approaches Based on Multiple Channel Attributes for Authentication andSpoofing Detection at the Physical Layer 基于多种信道属性的机器学习方法在物理层验证和欺骗检测方面的比较

Journal of Communications Pub Date : 2024-02-01 DOI: 10.12720/jcm.19.2.99-106

Andrea Stomaci, D. Marabissi, Lorenzo Mucchi

{"title":"Comparison of Machine Learning Approaches Based on Multiple Channel Attributes for Authentication andSpoofing Detection at the Physical Layer","authors":"Andrea Stomaci, D. Marabissi, Lorenzo Mucchi","doi":"10.12720/jcm.19.2.99-106","DOIUrl":"https://doi.org/10.12720/jcm.19.2.99-106","url":null,"abstract":"—The aim of this study is to assess the effectiveness of Physical Layer Authentication (PLA) in securing IoT nodes. Specifically, we present a PLA framework based on wireless fingerprinting, where the legitimated node is distinguished from potential attackers by exploiting the unique wireless channel features. To achieve this objective, we employ various machine learning approaches for anomaly detection, making use of a wide range of channel attributes in time-varying conditions. In particular, four different Machine Learning (ML) strategies in their one class version have been considered and compared: decision-tree, kernel-based, clustering and nearest neighbors. Our study highlights advantages and disadvantages of each method, considering parameters optimization, training requirements and time complexity. Results show that the use of multiple-attribute allows to achieve accurate detection performance. In particular, our results reveal that the kernel-based solution is the one that achieves best results in terms of accuracy, but the nearest neighbor’s solution has very similar performance with a significant advantage in terms of complexity and no need for training, making it more suitable for time-varying contexts, and a promising choice for securing IoT nodes through PLA based on wireless fingerprinting. The other two alternatives have somewhat lower performance but low complexity. This research contributes valuable insights into enhancing IoT security through PLA techniques.","PeriodicalId":53518,"journal":{"name":"Journal of Communications","volume":"46 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140464404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Wide Band Antenna for both S-Band and CBand Satellite Communication Applications 适用于 S 波段和 CB 波段卫星通信应用的宽带天线

Journal of Communications Pub Date : 2024-01-01 DOI: 10.12720/jcm.19.1.28-36

D. Nataraj, K. Chitambara Rao, K. S. Chakradhar, G. Vinutna Ujwala, B. Sadasiva Rao, Y. S. V. Raman

引用次数: 0

A Semantic-Based Middleware for Supporting Heterogeneity and Context-Awareness Within IoT Applications 基于语义的中间件，用于支持物联网应用中的异构性和情境意识

Journal of Communications Pub Date : 2024-01-01 DOI: 10.12720/jcm.19.1.19-27

Mohammed Lamnaour, Moundir Raiss, Yasser Mesmoudi, Yasser El Khamlichi, A. Tahiri, A. Touhafi

引用次数: 0