Telecommunication Systems最新文献_第7页

Dynamical modelling and cost optimization of a 5G base station for energy conservation using feedback retrial queue with sleeping strategy 利用带休眠策略的反馈重审队列实现 5G 基站节能的动态建模和成本优化

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-05-13 DOI: 10.1007/s11235-024-01155-0

R. Harini, K. Indhira

{"title":"Dynamical modelling and cost optimization of a 5G base station for energy conservation using feedback retrial queue with sleeping strategy","authors":"R. Harini, K. Indhira","doi":"10.1007/s11235-024-01155-0","DOIUrl":"https://doi.org/10.1007/s11235-024-01155-0","url":null,"abstract":"Dense network deployment is now being evaluated as one of the viable solutions to meet the capacity and connectivity requirements of the fifth-generation (5G) cellular system. The goal of 5G cellular networks is to offer clients with faster download speeds, lower latency, more dependability, broader network capacities, more accessibility, and a seamless client experience. However, one of the many obstacles that will need to be overcome in the 5G era is the issue of energy usage. For energy efficiency in 5G cellular networks, researchers have been studying at the sleeping strategy of base stations. In this regard, this study models a 5G BS as an (M^{[X]}/G/1) feedback retrial queue with a sleeping strategy to reduce average power consumption and conserve power in 5G mobile networks. The probability-generating functions and steady-state probabilities for various BS states were computed employing the supplementary variable approach. In addition, an extensive palette of performance metrics have been determined. Then, with the aid of graphs and tables, the resulting metrics are conceptualized and verified. Further, this research is accelerated in order to bring about the best possible (optimal) cost for the system by adopting a range of optimization approaches namely particle swarm optimization, artificial bee colony and genetic algorithm.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931861","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

Smart remote sensing network for disaster management: an overview 用于灾害管理的智能遥感网络：概述

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-05-09 DOI: 10.1007/s11235-024-01148-z

Rami Ahmad

{"title":"Smart remote sensing network for disaster management: an overview","authors":"Rami Ahmad","doi":"10.1007/s11235-024-01148-z","DOIUrl":"https://doi.org/10.1007/s11235-024-01148-z","url":null,"abstract":"Remote sensing technology is a vital component of disaster management, poised to revolutionize how we safeguard lives and property through enhanced prediction, mitigation, and recovery efforts. Disaster management hinges on continuous monitoring of various environments, from urban areas to forests and farms. Data from these observations are relayed to servers, where sophisticated processing algorithms forecast impending disasters. Remote sensing technology operates through a layered framework. The sensing layer acquires raw data, the network layer facilitates data transmission, and the data processing layer extracts meaningful insights. The application layer then leverages these insights to make informed decisions. Elevating the intelligence of remote sensing technology necessitates advancements across these layers. This paper delves into disaster management concepts and highlights the pivotal role played by remote sensing technology. It offers a comprehensive exploration of each layer within the remote sensing technology framework, detailing foundational principles, tools, and methodologies for enhancing intelligence. Addressing challenges inherent to this technology, the paper also presents future-oriented solutions. Furthermore, it examines the influence of wireless network infrastructure, alongside emerging technologies like the Internet of Things, cloud computing, virtual machines, and low-power wireless networks, in nurturing the evolution and sustainability of remote sensing technology.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931718","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

Deep optimized hybrid beamforming intelligent reflecting surface assisted UM-MIMO THz communication for 6G broad band connectivity 用于 6G 宽带连接的深度优化混合波束成形智能反射面辅助 UM-MIMO 太赫兹通信

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-05-08 DOI: 10.1007/s11235-024-01157-y

Ranjitham Govindasamy, Sathish Kumar Nagarajan, Jamuna Rani Muthu, Purushothaman Annadurai

{"title":"Deep optimized hybrid beamforming intelligent reflecting surface assisted UM-MIMO THz communication for 6G broad band connectivity","authors":"Ranjitham Govindasamy, Sathish Kumar Nagarajan, Jamuna Rani Muthu, Purushothaman Annadurai","doi":"10.1007/s11235-024-01157-y","DOIUrl":"https://doi.org/10.1007/s11235-024-01157-y","url":null,"abstract":"For 6G communications, the Ultra Massive Multiple Input Multiple Output (UM-MIMO) systems with Intelligent Reflecting Surface (IRS) assistance are capable since they can efficiently get beyond the limitations of restricted blockage and coverage. However, in the far field, a robust THz channel sparsity is unfavorable to spatial multiplexing, whereas excessive UM-MIMO and IRS dimensions extend the near field region. To address these issues, a hybrid beamforming IRS assisted UM-MIMO THz system with Deep Siamese Capsule Network is designed with the cascaded channel. The near and far field codebook-based beamforming is developed to model the proposed communication channel. The channel estimation is done based on the deep siamese capsule adaptive beluga whale neural network. The simulation results of the bit error rate, Normalized Mean Square Error (NMSE), spectral efficiency, sum rate, data rate, normalized channel gain, beamforming gain, and array gain loss shows that the proposed system achieves reliable performances compared with existing techniques. The suggested approach also demonstrates the outstanding adaptability to various network configurations and good scalability. The method provides a better channel estimation accuracy and less complexity which shows an NMSE of − 11.2 dB at an SNR of 10 dB.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931710","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

Tripartite evolutionary game in the process of network attack and defense 网络攻防过程中的三方演化博弈

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-05-06 DOI: 10.1007/s11235-024-01130-9

Zigang Chen, Chaochao Fan, Tao Leng, Long Chen, Yuhong Liu, Xiaoyong Li, Dongfeng Yuan

{"title":"Tripartite evolutionary game in the process of network attack and defense","authors":"Zigang Chen, Chaochao Fan, Tao Leng, Long Chen, Yuhong Liu, Xiaoyong Li, Dongfeng Yuan","doi":"10.1007/s11235-024-01130-9","DOIUrl":"https://doi.org/10.1007/s11235-024-01130-9","url":null,"abstract":"At present, confrontations in cyberspace are becoming increasingly fierce, and network attacks and defenses have become the main form of confrontation between parties in cyberspace. The maximum benefit can be obtained by using scientific decision-making. Traditional network attack and defense research mainly focuses on the relationship between network attackers and network defenders, but more is need to explain the benefits of the evolution of network attacks and defenses. Given this, this paper constructs a tripartite evolutionary game model among network attackers, network defenders, and government regulators, analyzes the evolutionary stability of each participant’s strategy choice, discusses the influence of each element on the tripartite strategic choices, and further analyzes the stability of the equilibrium point of the tripartite evolutionary system. The research results show that (1) the timely supervision of the network by the government supervision department is conducive to enhancing the construction of network security and has strategic significance for the security of cyberspace; (2) the network defense department can obtain more effective defense measures when being attacked by the network; (3) the network defense party can analyze the strategic defense requirements that are more in line with its own benefits. Finally, we use Matlab2021a to conduct simulation analysis, verify the effectiveness of the evolutionary game model under different initial conditions, and put forward reasonable suggestions for network defenders and government regulators according to the conclusions of the analysis.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883252","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 novel adaptive watermark embedding approach for enhancing security of biometric voice/speech systems 增强生物声纹/语音识别系统安全性的新型自适应水印嵌入方法

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-27 DOI: 10.1007/s11235-024-01133-6

Slami Saadi, Ahmed Merrad

引用次数: 0

Instantaneous and average throughput optimization using reconfigurable intelligent surfaces with solar energy harvesting 利用具有太阳能收集功能的可重构智能表面优化瞬时和平均吞吐量

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-20 DOI: 10.1007/s11235-024-01142-5

Faisal Alanazi

引用次数: 0

FPGA-based hardware accelerator for SIC in uplink NOMA networks 基于 FPGA 的上行 NOMA 网络 SIC 硬件加速器

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-17 DOI: 10.1007/s11235-024-01144-3

Sreenu Sunkaraboina, Kalpana Naidu

引用次数: 0

On the performance of layered transmission with optimum decoding ordering and multiuser diversity for a K-user downlink scenario 论 K 用户下行链路情况下具有最佳解码排序和多用户分集的分层传输性能

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-16 DOI: 10.1007/s11235-024-01136-3

Serdar Özyurt, Katherin Amelia, Mustafa Namdar

{"title":"On the performance of layered transmission with optimum decoding ordering and multiuser diversity for a K-user downlink scenario","authors":"Serdar Özyurt, Katherin Amelia, Mustafa Namdar","doi":"10.1007/s11235-024-01136-3","DOIUrl":"https://doi.org/10.1007/s11235-024-01136-3","url":null,"abstract":"In this work, the performance of layered transmission with optimum decoding order and multiuser diversity is analyzed in a K-user downlink network. The transmitter is equipped with two antennas whereas every user has r ((rge 2)) antennas. In each training period, the transmitter opportunistically schedules a single user based on a set of scalar feedback (FB) values sent back from the users. Investigating on what should be fed back, three distinct FB strategies are studied and an exact joint distribution expression is derived in each case for the evaluation of the average outage probability. Analytical results are obtained without disregarding the impact of error propagation and broadly differ from the former approximated analyses. It is shown that one of the inspected strategies clearly outperforms the others and can achieve full multiuser diversity gain of K. We show that by just a scalar FB from the users to the transmitter, which can easily be quantized in accordance with the desired accuracy, a significant power gain can be accomplished at the transmitter as compared to a single-user scenario. For the mathematical analysis, we rely on the fact that all orderings are equiprobable under independent and identical fading. To that end, we obtain the joint distribution of the ordered gains from the joint distribution of the unordered gains.\u0000","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140616820","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

Prioritization and offloading in P4 switch integrated with NFV 与 NFV 集成的 P4 交换机的优先级和卸载

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-16 DOI: 10.1007/s11235-024-01129-2

Farhin Faiza Neha, Yuan-Cheng Lai, Md. Shohrab Hossain, Ying-Dar Lin

{"title":"Prioritization and offloading in P4 switch integrated with NFV","authors":"Farhin Faiza Neha, Yuan-Cheng Lai, Md. Shohrab Hossain, Ying-Dar Lin","doi":"10.1007/s11235-024-01129-2","DOIUrl":"https://doi.org/10.1007/s11235-024-01129-2","url":null,"abstract":"The architecture of integrating Software Defined Networking (SDN) with Network Function Virtualization (NFV) is excellent because the former virtualizes the control plane, and the latter virtualizes the data plane. As Programming Protocol-independent Packet Processors (P4) become popular, the architecture integrating SDN with NFV may shift from traditional switches to P4 switches. In this architecture, which integrates P4 switch and NFV (P4 + NFV), network functions can be provided in both P4 switches (PNF) and NFV (VNF). Thus, to minimize packet delay, an offloading problem between P4 switches and NFV in this P4 + NFV should be addressed. This paper tackles this offloading problem and figures out the prioritization mechanism between newly arriving packets and packets that require VNF for minimizing packet delay. We model and analyze the P4 + NFV architecture using an M/M/1 queuing model with non-preemptive priority. Also, we propose an optimization solution based on gradient descent to find the optimal offloading probability of going to VNF. Results show that optimal offloading from P4 switch to NFV can reduce the average packet delay from 13.74 to 40.73%, when packets requiring VNF are given higher priority than newly arriving packets.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140617282","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

Optimized precoding for massive MU-MIMO systems with KLDA dimension reduction and RNN-crossover GBO algorithm 利用 KLDA 维度缩减和 RNN 交叉 GBO 算法优化大规模 MU-MIMO 系统的预编码

IF 2.5 4区计算机科学

Telecommunication Systems Pub Date : 2024-04-16 DOI: 10.1007/s11235-024-01135-4

Srividhya Ramanathan, M. Anto Bennet

{"title":"Optimized precoding for massive MU-MIMO systems with KLDA dimension reduction and RNN-crossover GBO algorithm","authors":"Srividhya Ramanathan, M. Anto Bennet","doi":"10.1007/s11235-024-01135-4","DOIUrl":"https://doi.org/10.1007/s11235-024-01135-4","url":null,"abstract":"Nowadays the communication of massive multi-user multiple-input multiple-output (MU-MIMO) takes an important role in wireless systems, as they facilitate the ultra-reliable transmission of data and high performance. In order to sustain massive user equipment (UE) with tremendous reliability and spectral efficiency, more antennas are deployed per base station (BS) in the MU-MIMO system. To overcome such problems, the recurrent neural network (RNN) with crossover-gradient based optimizer (GBO) model called RNN-crossover GBO is proposed for precoding in the MU-MIMO system. However, it is essential to diminish the complexity to attain the maximum sum rate for obtaining the optimal solution. Moreover, the kernel linear discriminant analysis (KLDA) dimensionality reduction technique is employed for mapping high dimensional data into a low dimension by considering a linear combination matrix. In order to obtain the best feature the GBO is employed that predict the optimal solution and restrict falling from the local solution. Furthermore, the crossover-GBO algorithm is applied with the RNN to estimate the output precoding matrix with considerable features to obtain the best search space. The experimental results revealed that the proposed method achieves higher performance with a higher sum rate and shows significant improvement in spectral efficiency (SE) values than the existing methods. SE rises due to the selection of closely associated features. This indicates the robustness and stability of the proposed model.","PeriodicalId":51194,"journal":{"name":"Telecommunication Systems","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140617396","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