EURASIP Journal on Wireless Communications and Networking最新文献_第8页

A survey on cognitive radio network attack mitigation using machine learning and blockchain 使用机器学习和区块链的认知无线电网络攻击缓解调查

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-30 DOI: 10.1186/s13638-023-02290-z

I. Evelyn Ezhilarasi, J. Christopher Clement, Joseph M. Arul

引用次数: 0

A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments 一种新的基于机器学习的分布式计算环境下信道带宽分配与优化框架

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-28 DOI: 10.1186/s13638-023-02310-y

Miaoxin Xu

{"title":"A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments","authors":"Miaoxin Xu","doi":"10.1186/s13638-023-02310-y","DOIUrl":"https://doi.org/10.1186/s13638-023-02310-y","url":null,"abstract":"Abstract Efficient utilization of network resources, particularly channel bandwidth allocation, is critical for optimizing the overall system performance and ensuring fair resource allocation among multiple distributed computing nodes. Traditional methods for channel bandwidth allocation, based on fixed allocation schemes or static heuristics, often need more adaptability to dynamic changes in the network and may not fully exploit the system’s potential. To address these limitations, we employ reinforcement learning algorithms to learn optimal channel allocation policies by intermingling with the environment and getting feedback on the outcomes of their actions. This allows devices to adapt to changing network conditions and optimize resource usage. Our proposed framework is experimentally evaluated through simulation experiments. The results demonstrate that the framework consistently achieves higher system throughput than conventional static allocation methods and state-of-the-art bandwidth allocation techniques. It also exhibits lower latency values, indicating faster data transmission and reduced communication delays. Additionally, the hybrid approach shows improved resource utilization efficiency, efficiently leveraging the strengths of both Q-learning and reinforcement learning for optimized resource allocation and management.","PeriodicalId":12040,"journal":{"name":"EURASIP Journal on Wireless Communications and Networking","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135386749","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

The optimization of the number of deployed antennas in large-scale CL-DAS for energy efficiency 大规模CL-DAS中部署天线数量的优化以提高能效

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-25 DOI: 10.1186/s13638-023-02308-6

Yonggue Han, Dongkyu Sim

引用次数: 0

A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebra 提出了一种基于Clifford代数的无线传感器网络中平面目标表示和最坏情况覆盖的新模型

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-19 DOI: 10.1186/s13638-023-02301-z

Amr M. Mahfouz, Ahmed S. Ismail, Wageda I. El Sobky, Hany Nasry

{"title":"A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebra","authors":"Amr M. Mahfouz, Ahmed S. Ismail, Wageda I. El Sobky, Hany Nasry","doi":"10.1186/s13638-023-02301-z","DOIUrl":"https://doi.org/10.1186/s13638-023-02301-z","url":null,"abstract":"Abstract Wireless ad hoc sensor networks have recently emerged as a premier research topic. They have great long-term economic potential and ability to transform our lives and pose many new system building challenges. Sensor networks also pose a number of new conceptual and optimization problems. Most of researches in wireless sensor networks are focused in obtaining better target coverage in order to reduce energy and cost of the network. The problem of planar target analysis is one of the crucial problems that should be considered while studying coverage problem of sensor networks. By combining computational geometry and graph theoretic techniques, specifically the Voronoi diagram and graph search algorithms, this paper introduces a novel sensor network coverage model that deals with plane target problem based on Clifford algebra which is a powerful tool that is coordinate free. Also, the calculations of the node coverage rate for the plane target in the sensor network using Clifford algebra are presented. Then, the maximum clearance path (worst-case coverage) of the sensor network for a plane target is proposed. The optimality and reliability of the proposed algorithm have been proved using simulation. Also, a comparison between the breach weight of the point target and the plane target is provided.","PeriodicalId":12040,"journal":{"name":"EURASIP Journal on Wireless Communications and Networking","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135014906","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

Dynamic access control method for SDP-based network environments 基于sdp的网络环境的动态访问控制方法

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-18 DOI: 10.1186/s13638-023-02305-9

Hyunjin You, Doochan Ko, Daniel Kim, Richard Wong, Inwhee Joe

引用次数: 0

Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach 无人机辅助蜂窝系统中的联合轨迹和CoMP聚类优化:一种联盟形成博弈方法

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-14 DOI: 10.1186/s13638-023-02302-y

Mostafa M. Abdelhakam, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim, Samir G. Sayed

{"title":"Joint trajectory and CoMP clustering optimization in UAV-assisted cellular systems: a coalition formation game approach","authors":"Mostafa M. Abdelhakam, Mahmoud M. Elmesalawy, Ibrahim I. Ibrahim, Samir G. Sayed","doi":"10.1186/s13638-023-02302-y","DOIUrl":"https://doi.org/10.1186/s13638-023-02302-y","url":null,"abstract":"Abstract In this paper, the flexibility of unmanned aerial vehicles (UAVs), as well as the benefits of coordinated multi-point (CoMP) transmission, are utilized for mitigating the interference in cellular networks. Specifically, the joint problem of CoMP clusters and UAVs’ trajectories is addressed for downlink transmission in a UAV-assisted cellular system. The problem is presented as a non-convex optimization problem that aims to maximize the sum rate of the ground users by taking into account the clustering, UAV mobility and backhaul capacity constraints. Since the formulated problem is known to be NP-hard, we partition it into two sub-problems. Particularly, by using coalitional game theory, the CoMP clusters are obtained with a given UAVs’ trajectories. Then, UAVs’ trajectories are optimized with given CoMP clusters using successive convex approximation technique. Based on the block coordinate descent method, the two sub-problems are solved alternatively until convergence. Numerical results are conducted and demonstrated the effectiveness of the proposed algorithm.","PeriodicalId":12040,"journal":{"name":"EURASIP Journal on Wireless Communications and Networking","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913959","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: 1

Residual energy maximization for NOMA-enabled UAV-assisted data collection network: trajectory optimization and resource allocation 基于noma的无人机辅助数据采集网络剩余能量最大化:轨迹优化和资源分配

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-13 DOI: 10.1186/s13638-023-02307-7

Yu Du, Yijun Guo, Jianjun Hao, Hao Zhu

引用次数: 0

Energy efficiency maximization for UAV-enabled amplify-and-forward relaying via joint power and trajectory optimization 通过联合功率和轨迹优化实现无人机放大和转发中继的能源效率最大化

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-13 DOI: 10.1186/s13638-023-02304-w

Lili Guo, Shibing Zhang, Xiaodong Ji, Senyi Shi

{"title":"Energy efficiency maximization for UAV-enabled amplify-and-forward relaying via joint power and trajectory optimization","authors":"Lili Guo, Shibing Zhang, Xiaodong Ji, Senyi Shi","doi":"10.1186/s13638-023-02304-w","DOIUrl":"https://doi.org/10.1186/s13638-023-02304-w","url":null,"abstract":"Abstract This paper investigates an optimization problem corresponding to energy efficiency maximization of an unmanned aerial vehicle (UAV)-enabled relaying system, where a fixed-wing UAV acts as an amplify-and-forward mobile relay to assist data transmission between a source node and a destination node. On the premise of satisfying the speed and acceleration constraints of the UAV, the energy efficiency (EE) of the relaying system is maximized by jointly optimizing the UAV’s trajectory and the individual transmit power levels of the source and the UAV relay. The initial joint optimization problem is non-convex and cannot be solved directly. Therefore, the joint optimization problem is decomposed into two sub-problems which are solved by applying the successive convex approximation technique and the Dinkelbach’s algorithm. On this basis, an efficient iterative algorithm is proposed to tackle the joint optimization problem through the block coordinate descent technique. Simulation results demonstrated that by conducting the proposed algorithm, the flight trajectory of the UAV and the individual transmit power levels of the nodes can be flexibly adjusted according to the system conditions, and the proposed algorithm contributes to the higher EE compared with the benchmark schemes.","PeriodicalId":12040,"journal":{"name":"EURASIP Journal on Wireless Communications and Networking","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135741358","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

Energy efficient resource allocation for re-configurable intelligent surface-assisted wireless networks 可重构智能地面辅助无线网络的节能资源分配

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-09-05 DOI: 10.1186/s13638-023-02296-7

Samaneh Bidabadi, Messaoud Ahmed Ouameur, Miloud Bagaa, Daniel Massicotte

引用次数: 0

Retraction Note: Investigation of the evaluation system of SMEs’ industrial cluster management performance based on wireless network development 基于无线网络发展的中小企业产业集群管理绩效评价体系研究

4区计算机科学

EURASIP Journal on Wireless Communications and Networking Pub Date : 2023-01-18 DOI: 10.1186/s13638-023-02223-w

Jiang Lan, Wang Chengjun, Zhang Wei

引用次数: 0