2019 26th International Conference on Telecommunications (ICT)最新文献_第8页

Hierarchical product quantization for effective feature indexing 有效特征索引的分层产品量化

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798824

Van-Hao Le, T. Pham, Dinh-Nghiep Le

引用次数: 0

Outperforming Conventional OFDM and SEFDM Signals by Means of Using Optimal Spectral Pulses and the M-BCJR Algorithm 利用最优频谱脉冲和M-BCJR算法优于传统OFDM和SEFDM信号

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798793

A. Gelgor, V. Nguyen

{"title":"Outperforming Conventional OFDM and SEFDM Signals by Means of Using Optimal Spectral Pulses and the M-BCJR Algorithm","authors":"A. Gelgor, V. Nguyen","doi":"10.1109/ICT.2019.8798793","DOIUrl":"https://doi.org/10.1109/ICT.2019.8798793","url":null,"abstract":"In the paper, we compared spectral efficiency between OFDM signals, reputed SEFDM signals, and recently proposed RRC-SEFDM and PR-SEFDM signals. The last three are different types of signals with non-orthogonal frequency division multiplexing, i.e. signals with intersymbol interference (ISI). All signals were modulated with QPSK and 16-QAM. For signals with ISI demodulation was performed by the suboptimal M-BCJR algorithm with $M=8$ paths survived at each step. For construction PR-SEFDM signals we used optimal spectral pulses with length $L = 12$ taps. The simulation results were shown that, at first, the maximum gain in spectral efficiency is achieved only with simultaneous introducing ISI and increasing the size of signal constellation. At second, PR-SEFDM signals with optimal spectral pulses provide a significant gain in spectral efficiency with respect to SEFDM signals and RRC-SEFDM signals at fixed energy consumptions and fixed complexity of the demodulation algorithm. Also, for QPSK and 16-QAM, with respect to OFDM signals our proposed PR-SEFDM signals provide up to 27% gain in spectral efficiency by additional expenses up to 0.6 and 1.3 dB respectively.","PeriodicalId":127412,"journal":{"name":"2019 26th International Conference on Telecommunications (ICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125749049","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: 19

On the Resource Allocation for D2D Underlaying Uplink Cellular Networks D2D底层上行蜂窝网络的资源分配研究

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798800

Adeola Omorinoye, Quoc-Tuan Vien, T. Le, P. Shah

引用次数: 5

Performance Analysis of the Revisited Tone Mapped Quality Index for Tone Mapped HDR Images Evaluation 色调映射HDR图像评价中重访色调映射质量指标的性能分析

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798770

B. Thai, Anissa Zergaïnoh-Mokraoui

引用次数: 0

Novel Dual-Polarized 5G Base Station Antenna 新型双极化5G基站天线

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798837

Thuy, M. Le, Phan Tran Truong, Trong Thuy Pham, Lap Pham Xuan, H. Ngo

引用次数: 1

Digital Signal Processing for Faster-than-Nyquist Non-Orthogonal Systems: An Overview 快于奈奎斯特非正交系统的数字信号处理综述

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798855

Ji Zhou, Mengqi Guo, Yaojun Qiao, Haide Wang, Long Liu, Weiping Liu, Changyuan Yu, Jianping Li, Zhaohui Li

引用次数: 3

Spectral Efficiency of Multicarrier Schemes for 5G 5G多载波方案的频谱效率

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798831

P. Banelli, G. Colavolpe, L. Rugini, A. Ugolini

引用次数: 3

Detecting Covariate Shift with Black Box Predictors 用黑盒预测器检测协变量移位

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798827

F. Alberge, Clément Feutry, P. Duhamel, P. Piantanida

引用次数: 2

Functions-based CFG Embedding for Malware Homology Analysis 基于函数的CFG嵌入恶意软件同源性分析

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798769

Jieran Liu, Yuan Shen, Hanbing Yan

{"title":"Functions-based CFG Embedding for Malware Homology Analysis","authors":"Jieran Liu, Yuan Shen, Hanbing Yan","doi":"10.1109/ICT.2019.8798769","DOIUrl":"https://doi.org/10.1109/ICT.2019.8798769","url":null,"abstract":"Malware homology analysis aims at detecting whether different malicious code originates from the same set of malicious code or is written by the same author or team, and whether it has intrinsic relevance and similarity. At the same time, the homology analysis of malicious code is also an important part of studying the groups behind different APT (Advanced Persistent Threat) attacks. At present, homology identification still relies on manual analysis and security experts' experience in the anti-malware industry. In addition, research on large-scale malicious code automated homology analysis is still insufficient. The method proposed in this paper is to solve the problem of large-scale malicious code homology automatic analysis, and hope to provide auxiliary information for discovering the group behind the APT attack. In this paper, we collected samples of different APT groups from public threat intelligence and proposed a novel approach to classify these samples into different APT groups to further analyze the homology of malware. We combined the CFG (Control Flow Graph) of the malicious code function and the disassembled code of the stripped malware to generate the embedding, i.e., a numeric vector, which formed a function feature database of the APT group, and presented a neural network model used for APT group classification. We have implemented our approach in a prototype system called MCrab. Our extensive evaluation showed that MCrab could produce high accuracy results, with few to no false positives. Our research also showed that deep learning can be successfully applied to malware homology analysis.","PeriodicalId":127412,"journal":{"name":"2019 26th International Conference on Telecommunications (ICT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587178","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: 4

200-Gb/s optical SEFDM transmission using low-complexity log-MAP based detection for short reach optical interconnects 采用低复杂度log-MAP检测的200 gb /s光SEFDM传输短距离光互连

2019 26th International Conference on Telecommunications (ICT) Pub Date : 2019-04-01 DOI: 10.1109/ICT.2019.8798810

Xiong Wu, Changjian Guo, Baoxian Yu, Yongsheng Xu, A. Lau, Chao Lu

引用次数: 0