2018 Twenty Fourth National Conference on Communications (NCC)最新文献_第3页

Analysis of Computational Complexity and Power Consumption in Cloud Based Heterogeneous RAN 基于云的异构RAN计算复杂度和功耗分析

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600072

R. S., Subrat Kar, Dharmaraja Selvamuthu

{"title":"Analysis of Computational Complexity and Power Consumption in Cloud Based Heterogeneous RAN","authors":"R. S., Subrat Kar, Dharmaraja Selvamuthu","doi":"10.1109/NCC.2018.8600072","DOIUrl":"https://doi.org/10.1109/NCC.2018.8600072","url":null,"abstract":"In the recent past, we have witnessed steep growth in mobile data consumption. To address the capacity requirements resulting from the huge growth in mobile data traffic, the mobile network operators (MNOs) are adding more base stations and allocating more spectrum layers including outdoor and indoor small cells. Since the capacity requirement of the network varies over time, the scaling up of the network may increase the energy consumption of the Radio Access Network (RAN). Hence, we need to optimize the network to reduce the overall power consumption through Cloud based models, and deployment of power-efficient radio nodes. In this paper, we analyze the network evolution towards Cloud based Radio Access Network (CRAN) for a heterogeneous set of base stations such as those with Macro RRUs, Micro RRUs and Pico radio units. We derive the computational complexity using a flexible and ‘future-proof’ power model and apply it for the network. We also compare the computation complexity for various cases of User Equipment (UE) channel conditions, different sub-components within the given base station type and provide the results. We further use the Bin-Packing algorithm to analyze the number of base station cloud servers needed for this network and the power consumption of the base station cloud. We further evaluate whether the newer cloud servers with higher CPU cores are power efficient for a given load. We observe from the simulations, that the currently available base station cloud servers have more capacity and still are more power efficient than the baseline Compute Node servers used with the earlier power model.","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884098","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

Providing Resiliency for Service Function Chaining in NFV systems using a SDN-based approach 使用基于sdn的方法为NFV系统中的业务功能链提供弹性

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600121

Karthik Karra, K. Sivalingam

引用次数: 4

An Optically Transparent Microwave Broadband Absorber using Resistive Sheet 利用电阻片制成的光透明微波宽带吸收体

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8599881

Harsh Sheokand, Gaganpreet Singh, Saptarshi Ghosh, Mondeep Saikia, K. V. Srivastava, J. Ramkumar, S. A. Ramakrishna

引用次数: 0

A Frequency Assignment Technique for Effective SINR and Throughput Management in a Battlefield 战场上有效信噪比和吞吐量管理的频率分配技术

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600243

Athindran Ramesh Kumar, N. P, J. K. Milleth

{"title":"A Frequency Assignment Technique for Effective SINR and Throughput Management in a Battlefield","authors":"Athindran Ramesh Kumar, N. P, J. K. Milleth","doi":"10.1109/NCC.2018.8600243","DOIUrl":"https://doi.org/10.1109/NCC.2018.8600243","url":null,"abstract":"Spectrum is a scarce and precious resource in a battlefield. Multiple frequencies spread over different bands are available for usage in a battlefield. The frequencies need to be assigned to the nodes/Base Stations(BSs) in a battlefield in such a way as to meet the Signal-to-Interference-Noise Ratio(SINR) and throughput requirements of all the users. Previous attempts for frequency assignment abstract away the notion of SINR and throughput and usually constrain the distance between the frequencies required between pairs of interfering BSs. In this work, the frequency assignment that optimizes the SINR and throughput of all the users in a system while ensuring fairness among the users is found. A genetic algorithm is used to perform the unconstrained optimization and this method is termed as the efficient rate and SINR matcher with hyperbolic cost (ERSMHC). A high SINR initialization algorithm (HSIA) and a high throughput greedy rate matching algorithm (HTGRM) that can be used for quickly initializing the system are also presented. The ERSMHC algorithm is shown to aid in meeting the stipulated rate and throughput requirements of more number of users as compared to HSIA and HTGRM.","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131562463","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

Forgery Detection in Digital Images through Lighting Environment Inconsistencies 基于光照环境不一致性的数字图像伪造检测

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600175

A. Mazumdar, Jefin Jacob, P. Bora

{"title":"Forgery Detection in Digital Images through Lighting Environment Inconsistencies","authors":"A. Mazumdar, Jefin Jacob, P. Bora","doi":"10.1109/NCC.2018.8600175","DOIUrl":"https://doi.org/10.1109/NCC.2018.8600175","url":null,"abstract":"In image splicing forgery, parts from two or more images are used to create a new composite image. Among the different approaches to expose splicing forgery, lighting environment-based forensics methods are more robust to different post-processing operations. In these methods, the 3D lighting environments are estimated from different parts of the image under investigation. They are later compared with each other to check the authenticity of the image. This paper proposes a novel 3D lighting environment-based image forensics method which can detect splicing forgeries in images containing human faces. The proposed method estimates the lighting environments from facial regions present in the image using shape, illumination, and reflectance from shading or the SIRFS method. SIRFS performs an optimization procedure to get the most likely shape, reflectance and illumination that construct a given image by imposing priors on shape, reflectance and illumination. Once the lighting environments are estimated from all the faces present in the image, they are compared with each other. In case of an authentic image under uniform illumination, the lighting environments estimated from different faces will be similar while there will be at least one pair of faces with different lighting environments in the case of a spliced image. Experimental results on two different datasets show that the proposed method can discriminate different lighting environments better than the state-of-the-art 3D lighting environment-based forensics methods and hence can expose forgeries better.","PeriodicalId":121544,"journal":{"name":"2018 Twenty Fourth National Conference on Communications (NCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128055899","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

A Polarization-Insensitive Miniaturized Element Frequency Selective Surface using Meander Lines 弯曲线偏振不敏感的小型化元件频率选择曲面

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600227

A. B. Varuna, Saptarshi Ghosh, Harsh Sheokand, K. V. Srivastava

引用次数: 3

Modeling MME Residence Time in LTE based Cellular Networks 基于LTE的蜂窝网络中MME停留时间建模

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600089

Ushasi Ghosh, Pranay Agarwal, Abhinav Kumar

引用次数: 0

Generalized Statistical Spectrum Occupancy Modelling and its Learning based Predictive Validation 广义统计频谱占用模型及其基于学习的预测验证

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600244

Anirudh Agarwal, R. Gangopadhyay

引用次数: 3

Graphene Plasmonic Bowtie Antenna for UWB THz Application 超宽带太赫兹应用的石墨烯等离子体领结天线

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8599940

Sasmita Dash, A. Patnaik

引用次数: 9

Error Rate of MIMO OSTBC Systems over Mixed Nakagami- $m$ / Rice Fading Channels MIMO OSTBC系统在混合Nakagami- $m$ / Rice衰落信道上的错误率

2018 Twenty Fourth National Conference on Communications (NCC) Pub Date : 2018-02-01 DOI: 10.1109/NCC.2018.8600054

Dharmendra Dixit, P. R. Sahu, G. Karagiannidis

引用次数: 4