2019 IEEE 19th International Conference on Communication Technology (ICCT)最新文献_第7页

ICCT 2019 Conference Committee ICCT 2019会议委员会

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/icct46805.2019.8947147

引用次数: 0

From Coarse to Fine: A Monocular Depth Estimation Model Based on Left-Right Consistency 从粗到细:一种基于左右一致性的单目深度估计模型

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947220

Zeyu Lei, Yan Wang, Yufan Xu, Rui Huang

引用次数: 1

Delay Based Subcarrier and VM Scheduling for Multi-cell Cellular Edge Computing Systems 多蜂窝边缘计算系统中基于延迟的子载波和虚拟机调度

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947266

Yuan Zhang, Mingyang Xie

引用次数: 0

Low Computational Complexity Digital Predistortion Based on Independent Parameters Estimation 基于独立参数估计的低计算复杂度数字预失真

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947219

Xin Lin, Yikang Zhang, Hongmin Li, Gang Li, W. Qiao, Falin Liu

{"title":"Low Computational Complexity Digital Predistortion Based on Independent Parameters Estimation","authors":"Xin Lin, Yikang Zhang, Hongmin Li, Gang Li, W. Qiao, Falin Liu","doi":"10.1109/ICCT46805.2019.8947219","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947219","url":null,"abstract":"In wide-band digital predistortion linearizers, the number of coefficients of a simplified Volterra polynomial model required to model memory effects can increase dramatically, which causes large computational complexity, ill-conditioning or overfitting problems. We propose a novel digital predistortion (DPD) implementation approach called covariance matrix based independent parameters estimation (CM-IPE) method for a direct learning structure (DLA). In the approach, we use the constant transformation matrix to replace the time-varying transformation matrix because of the stationary and ergodic nature of input signals. And then the principal component analysis (PCA) method is applied for independent parameters estimation. The proposed method can reduce computational complexity. And by utilizing the PCA technique, the coefficients can be estimated independently which, at the same time, can prevent ill-conditioning or overfitting problems. Experimental results demonstrate that the proposed approach realizes the equivalent linearization performance as the traditional DLA method at lower computational complexity.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886211","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: 1

Deep Reinforcement Learning for Edge Computing and Resource Allocation in 5G Beyond 边缘计算的深度强化学习与5G超越中的资源分配

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947146

Yueyue Dai, Du Xu, Kecheng Zhang, Yunlong Lu, Sabita Maharjan, Yan Zhang

{"title":"Deep Reinforcement Learning for Edge Computing and Resource Allocation in 5G Beyond","authors":"Yueyue Dai, Du Xu, Kecheng Zhang, Yunlong Lu, Sabita Maharjan, Yan Zhang","doi":"10.1109/ICCT46805.2019.8947146","DOIUrl":"https://doi.org/10.1109/ICCT46805.2019.8947146","url":null,"abstract":"By extending computation capacity to the edge of wireless networks, edge computing has the potential to enable computation-intensive and delay-sensitive applications in 5G and beyond via computation offloading. However, in multi-user heterogeneous networks, it is challenging to capture complete network information, such as wireless channel state, available bandwidth or computation resources. The strong couplings among devices on application requirements or radio access mode make it more difficult to design an optimal computation offloading scheme. Deep Reinforcement Learning (DRL) is an emerging technique to address such an issue with limited and less accurate network information. In this paper, we utilize DRL to design an optimal computation offloading and resource allocation strategy for minimizing system energy consumption. We first present a multi-user edge computing framework in heterogeneous networks. Then, we formulate the joint computation offloading and resource allocation problem as a DRL form and propose a new DRL-inspired algorithm to minimize system energy consumption. Numerical results based on a realworld dataset demonstrate demonstrate the effectiveness of our proposed algorithm, compared to two benchmark solutions.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129931302","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: 7

Overview of Research on Broadband of Dipole Antenna 偶极子天线宽带研究综述

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947238

Heming Ding, Guangming Li, Menghui Xu

引用次数: 1

Performance Analysis of IEEE 802.15.4g MR-OFDM with Frequency Offset 带频偏的IEEE 802.15.4g MR-OFDM性能分析

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947114

Jichao Liu, Yahong Zhao, Ji Yang, Xiaoke Tang

引用次数: 0

Numerical Analysis of Electric Field Distribution at the Terminal of VLF Antenna VLF天线终端电场分布的数值分析

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947227

K. Mao, Xianqiang Li, Chen Wei, Zhiyuan Ma, Xixiu Wu

引用次数: 3

An Improved Belief Propagation Decoding of BATS Codes 一种改进的BATS码信念传播译码方法

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947132

Juan Yang, Zhiping Shi, Dandi Yang, Chen-Xi Wang

引用次数: 1

The Research on Phase Spectrum Decomposition Mechanism Based on Spectral Component Companding 基于谱元压缩的相谱分解机理研究

2019 IEEE 19th International Conference on Communication Technology (ICCT) Pub Date : 2019-10-01 DOI: 10.1109/ICCT46805.2019.8947273

Yan Xu, Yi Zheng, Hao Cui, Yifan Hu, Xiaodong Gong, Hui Liu

引用次数: 0