2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)最新文献_第6页

An Intelligent Congestion Control Method in Software Defined Networks 软件定义网络中的智能拥塞控制方法

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905364

Ji-hong Zhao, Mengfei Tong, Hua Qu, Jianlong Zhao

引用次数: 1

Hill Cipher Modification: A Simplified Approach 希尔密码修改:一种简化方法

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905360

Jessie R. Paragas, Ariel M. Sison, Ruji P. Medina

引用次数: 4

Simplified Minimum Fourth-Order Moment Haze Channel Equalization Algorithm 简化最小四阶矩雾信道均衡算法

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905309

Tao Yuan, Guoyi Wang

引用次数: 0

A Short Range Two-way Frequency Transfer Experiment in Free Space 自由空间中短程双向频率传输实验

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905338

Zhangjian Lu, Y. Meng, Guoyong Wang, Yuanbo Yao

引用次数: 0

NCMDSDV: A Neighbor Coverage Multipsth DSDV Routing Protocol for MANETs nmdsdv:一种面向manet的邻居覆盖多通道DSDV路由协议

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905388

Nan Wang, Rishika Datla, H. Jhajj

引用次数: 1

Design and Implementation of On-orbit Reconfigurable Inter-satellite Links Router 在轨可重构星间链路路由器的设计与实现

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905372

Guoping Feng, Yong Xu, Ke Li, Dong Zhou, Luyuan Wang

引用次数: 2

A Low Complexity Multi-symbol Non-coherent MSK Receiver 一种低复杂度多符号非相干MSK接收机

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905337

Chunfei Wu, Shuai Wang, Yue Zhao

{"title":"A Low Complexity Multi-symbol Non-coherent MSK Receiver","authors":"Chunfei Wu, Shuai Wang, Yue Zhao","doi":"10.1109/ICCSN.2019.8905337","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905337","url":null,"abstract":"Unmanned aerial vehicle (UAV) data link as the premise of UAV's c cooperative engagement capability will greatly affect the combat effectiveness of UAV. Good frequency utilization and power utilization means that MSK is suitable for UAV data link. The complexity of the traditional MSK coherent receiver is too high to apply to the UAV platform, and the traditional non-coherent receiver has poor BER performance. This paper introduces an improved structure based on MSK multi-symbol non-coherent detection algorithm, which is simplified multi-symbol non-coherent detection (SMND) receiver. The performance simulations show that the theoretical limit performance of the receiver is comparable to that of a coherent receiver and the receiver is significantly better than a conventional non-coherent receiver. In AWGN channel where the bit error rate (BER) is 10–5, the performance of the SMND receiver in this paper is superior to one-bit differential by 2.5 dB, superior to the non-coherent envelope detection by 3.2 dB, and achieves only loss of 0.3 dB comparing to the theoretical limit of coherent demodulation. Furthermore, the SMND algorithm has good performance of anti-frequency offset and anti-bit timing error.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133616086","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

QoE Oriented Cognitive Network Based on Machine Learning and SDN 基于机器学习和SDN的面向QoE的认知网络

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905343

Lei Wang, D. Delaney

{"title":"QoE Oriented Cognitive Network Based on Machine Learning and SDN","authors":"Lei Wang, D. Delaney","doi":"10.1109/ICCSN.2019.8905343","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905343","url":null,"abstract":"With the aim of improving application Quality of Experience (QoE), this paper presents a framework for a QoE oriented cognitive network that enables the implementation of a machine learning model in SDN architecture. Software Defined Networking (SDN) technology is applied to dynamically manage and orchestrate end-to-end network resources as per application needs and network condition and scenario. A structured approach is applied to implementing Machine Learning (ML) techniques within the network. A ML approach is intended to be used to autonomously learn the best management strategy for a given application and best fulfill its requirements. The framework is based on the combined SDN and ML approach, combining information obtained from both the SDN North Bound Interface (NBI) and South Bound Interface to assess both the network and application state and condition. A module built on the SDN controller uses this information to correlate network level metrics with application condition. This module will learn how the features of the network effect the application condition. This information is then used to make decisions with regards to network resources for the application. The framework is structured into three main modules: data collection and aggregation, network/application learning and network management with prediction. The proposed framework is intended to be used for investigation into link types and their effects on end-to-end path selection for application flows in SDN. This is essential for future networks as more diverse applications are expected to enter the mobile domain with each application flow traversing a range of link types.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505970","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: 9

A Topology Searching on Dual-plane Redundancy Network with Multiple Threading Method 基于多线程方法的双平面冗余网络拓扑搜索

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905314

Li Lin, Yun Lan, Xiquan Dong, Yong-Hua Huo

引用次数: 0

An Effective Tile Caching Mechanism of UAV Remote Sensing Map Based on Hilbert Coding Index 一种基于Hilbert编码索引的无人机遥感地图快速缓存机制

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905357

Dandan Guo, Yujiao Zou, Shuai Wang

引用次数: 1