2020 37th National Radio Science Conference (NRSC)最新文献

Adaptive Femtocell Accessing Control in A 5g Heterogeneous Network 5g异构网络中的自适应Femtocell接入控制

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235120

M. M. Mohamed, H. El-Badawy, Reem Abdelhadi, A. Ammar

{"title":"Adaptive Femtocell Accessing Control in A 5g Heterogeneous Network","authors":"M. M. Mohamed, H. El-Badawy, Reem Abdelhadi, A. Ammar","doi":"10.1109/NRSC49500.2020.9235120","DOIUrl":"https://doi.org/10.1109/NRSC49500.2020.9235120","url":null,"abstract":"Heterogeneous network is considered a powerful key to increase network capacity and provide high quality of service (QoS) for network users. However, in a heterogeneous network composed of femtocells and a macrocell, Macro users in poor signal places prefer to access to the nearest femtocell. Thus, these accessing will have a bad effect on femto users. Therefore, in this paper, first we propose an adaptive femtocell access system model to control the resource allocation between femto users (FUs) and macro users (MUs). Using the proposed adaptive system model, the most appropriate femtocell access mode will be determined. Second, a borrowing technique is proposed to be an arm of safety for femtocells that suffer from high traffic density. Simulation results show the adaptation of femtocell access modes with a varying network density to guarantee high QoS for FUs and help suffered MUs to get services without affecting the demands of FUs. Also; Simulation results show that the overall network performance can be improved using the proposed borrowing technique model as the number of blocking MUs can be decreased from 93 MU to zero MU. Also results show that, the proposed model will outperform the system performance by 52% with respect to the closed system model.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"17 1","pages":"85-94"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73095219","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

Application of Artificial Neural Networks to the Automation of Bandgap Reference Synthesis 人工神经网络在带隙参考综合自动化中的应用

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235111

Nabil R. Soliman, Karim D. Khalil, Ahmed M. Abd El Khalik, H. Omran

{"title":"Application of Artificial Neural Networks to the Automation of Bandgap Reference Synthesis","authors":"Nabil R. Soliman, Karim D. Khalil, Ahmed M. Abd El Khalik, H. Omran","doi":"10.1109/NRSC49500.2020.9235111","DOIUrl":"https://doi.org/10.1109/NRSC49500.2020.9235111","url":null,"abstract":"Bandgap voltage references are present in virtually every analog/mixed-signal system. However, their design still remains a time-consuming procedure that requires extensive designer expertise and validation. In this paper, an automated bandgap synthesis procedure is used to generate a dataset that maps the specifications of the synthesized bandgap reference circuit to their corresponding designer's degrees of freedom. This dataset is then used to train a neural network to predict the choice of the degrees of freedom in order to meet arbitrary circuit specifications specified by the user including variations due to design corners and random mismatch. The automated bandgap synthesis procedure uses precomputed look-up tables rather than invoking a circuit simulator in the loop, which enables generating a large dataset of training examples in short time. The choice of the degrees of freedom predicted by the neural network is then re-fed to the bandgap synthesis procedure to verify the accuracy of the prediction and obtain the complete solution of the synthesized circuit. The results demonstrate that the trained neural network is capable of making successful predictions of good accuracy in a wide multi-dimensional design space.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"5 1","pages":"106-116"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89105782","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: 2

Channel Matched Sparse Non-Orthogonal frequency division multiplexing (CM-SNOFDM) Operating in Underwater Acoustic Channels 信道匹配稀疏非正交频分复用(CM-SNOFDM)在水声信道中的应用

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235108

S. El-Khamy, Dalia I. Mohamed

引用次数: 1

Angular Displacement Sensor Based on Planar Circular Split Ring Resonator 基于平面圆裂环谐振器的角位移传感器

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235102

E. A. El-Refaay, S. Zainud-Deen, H. Malhat

引用次数: 2

Meander Dipole Antenna for Low Frequency Applications 用于低频应用的弯曲偶极天线

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235109

M. Ismail, A. R. Eldamak, H. Ghali

引用次数: 0

Reliability Analysis Model of the Digital Reactor Protection System 数字电抗器保护系统可靠性分析模型

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235117

Amany S. Saber, M. Shaat, A. El-Sayed, Hanaa Torkey, M. Shouman

引用次数: 1

Single Image Super Resolution Using Discrete Cosine Transform Driven Regression Tree 单图像超分辨率使用离散余弦变换驱动的回归树

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235100

Y. Badran, G. Salama, T. Mahmoud, Aiman M. Mousa, Adel E. Moussa

{"title":"Single Image Super Resolution Using Discrete Cosine Transform Driven Regression Tree","authors":"Y. Badran, G. Salama, T. Mahmoud, Aiman M. Mousa, Adel E. Moussa","doi":"10.1109/NRSC49500.2020.9235100","DOIUrl":"https://doi.org/10.1109/NRSC49500.2020.9235100","url":null,"abstract":"Single image super resolution restoration is a process for solving the ill-posed problem of achieving a high resolution image from one low resolution image. This process is considered an active point of research due to the increased demands for high resolution imagery in many applications. This paper presents a proposed methodology for single image super resolution based on replacing the traditional discrete cosine transform basis. These bases are replaced by learned filters that can transfer the low resolution image from the spatial domain to high resolution coefficients in the discrete cosine domain. Accordingly, these estimated filters can then be applied to produce a high resolution image in the spatial domain through the standard inverse discrete cosine transform process. To learn these transformation filters two modifications in the decision tree algorithm are introduced to adapt the tree performance for the super resolution task. This is performed such that the node splitting decision depends on external features that minimize the regression errors. Experimental results demonstrate that the performance of the proposed algorithm is superior to that of the traditional interpolation single image super resolution method.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"55 7","pages":"128-136"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91466050","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

Graphene-Based AMC Polarization Converter for Antenna Applications at Microwave Frequency Band 基于石墨烯的微波波段天线AMC极化变换器

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235094

A. M. Mabrouk, S. Zainud-Deen, H. Malhat, A. Ibrahim, H. Hamed

引用次数: 1

Channel Estimation Techniques for Wideband MIMO-OFDM Communication Systems Using Complementary Codes Two-Sided Sequences 基于互补码双边序列的宽带MIMO-OFDM通信系统信道估计技术

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235101

Said E. El Khamy, N. Korany, H. Hassan

引用次数: 7

Optical Cavity with Large Operational Bandwidth using Silicon-Based Slotted Micromirrors 基于硅基开槽微镜的大工作带宽光腔

2020 37th National Radio Science Conference (NRSC) Pub Date : 2020-09-08 DOI: 10.1109/NRSC49500.2020.9235103

M. Abdallah, Y. Sabry, A. Mahfouz, F. Marty, T. Bourouina, H. Omran

{"title":"Optical Cavity with Large Operational Bandwidth using Silicon-Based Slotted Micromirrors","authors":"M. Abdallah, Y. Sabry, A. Mahfouz, F. Marty, T. Bourouina, H. Omran","doi":"10.1109/NRSC49500.2020.9235103","DOIUrl":"https://doi.org/10.1109/NRSC49500.2020.9235103","url":null,"abstract":"In this paper, we report FDTD simulations and experimental results of novel silicon-based optical microcavity comprising of two slotted micromirrors. While the normal range for silicon microcavities is limited by its absorption below 1.1 μm, we demonstrate a silicon cavity that is capable of operation from the visible spectrum till the telecom C-band. Deep reactive ion etching (DRIE) is used to fabricate the deeply etched microcavity mirrors. The structure is metallized with gold to enhance mirrors’ reflectivity. The slotted mirror and the cavity structure are simulated using finite difference time domain (FDTD), and the results are reported showing a quality factor of 2796 for visible TM excitation and a quality factor of 2346 for NIR TM excitation. The experimental results report the characteristics of the resonator and verify its operation in the NIR and visible ranges. The measured quality factor (Q) is 2067 around the 565 nm peak and 1922 around the 1550 nm peak. Such a microcavity would present a major step towards realizing visible laser on silicon for micro optofluidic applications.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"24 1","pages":"222-229"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89410538","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