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Review Paper

Fair cooperative protocols based on energy harvesting relays

The cooperative communication becomes an important topic in the field of a wireless communication network to improve the reliability and speed of communication over long-distance and curve bed surface. As the distance is increasing between transmitter and receiver, the transmitter RF power requirement goes up to maintain the required SNR. The cooperative communication is an alternative way to fulfill this requirement with the help of relaying techniques. There is a number of research articles have been published in the area of cooperative communication. The major research works have been carried out the AF, DF and CF protocols. Future generations of cellular communications require higher data rates and a more reliable transmission link with the growth of multimedia services while keeping the satisfactory quality of service, Multiple inputs multiple output (MIMO) antenna systems have been considered as an effective approach to address these demands by offering significant multiplexing and diversity gains over single antenna systems without increasing bandwidth and power. Although MIMO systems can unfold their huge benefit in cellular base stations, they may face limitations when it comes to their deployment in mobile handsets. To overcome this drawback, relays (fixed or mobile terminals) can cooperate to improve the overall system performance in cellular networks. Cooperative communications can effectively combat the severity of fading and shadow through the assistance of relays. It has been found that using relays the capacity and coverage of cellular networks can be extended without increasing mobile transmit power or demanding extra bandwidth.

Published by: Jaya Dipti Lal

Author: Jaya Dipti Lal

Paper ID: V4I3-1669

Paper Status: published

Published: May 31, 2018

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Survey Report

Device-to-device communication for LTE advanced network

Device-to-Device (D2D) communication is an advanced technology that offers various advantages for the LTE advanced network such us wireless peer-to-peer services and higher spectral efficiency. It is used in so many different fields such as network traffic offloading, public safety, social services and applications such as gaming and military applications. However, mobile users in today's cellular networks use high data rate services (e.g., video sharing, gaming, proximity-aware social networking) in which they could potentially be in range for direct communications (i.e., D2D). The objective of this paper is to present advances on the current 3GPP LTE-advanced system related to Device-to-Device (D2D). In this paper, we provide an overview of the D2D types based on the communication spectrum of D2D transmission, namely Inband D2D communication and Outband D2D communication. Then we present the proposed work for D2D communication. Hence, D2D communications in such scenarios can greatly increase the spectral efficiency of the network. The advantages of D2D communications go beyond spectral efficiency; they can potentially improve throughput, energy efficiency, delay, and fairness.

Published by: Neha Vinod Khadilkar, Marathe V R

Author: Neha Vinod Khadilkar

Paper ID: V4I3-1693

Paper Status: published

Published: May 31, 2018

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Research Paper

Properties of concrete with pen waste

Plastic is the one of the waste material which is increasing day by day where as the concrete is the construction material which is also using more day by day. As the plastic is harmful material for environment so to decrease the plastic material we are using the one of the most important material waste i.e pen waste in the place of fine aggregate. The replacement of waste with fine aggregates by different proportions for M20 grade of concrete is done (2%,4%,6%,8% &10%) and strength was increased with 4 % of waste.

Published by: Bottu Shiva Kumar, Etaveni Madhavi

Author: Bottu Shiva Kumar

Paper ID: V4I3-1645

Paper Status: published

Published: May 31, 2018

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Research Paper

Peak to average power reduction techniques in OFDM

3GPP LTE has utilized the OFDMA for the downlink which oversees assortment versatility, inborn impenetrability to Inter picture Interference (ISI) and several more unmistakable. At any rate, 3GPP LTE structures delight in the unwell impacts of a really standard trouble called height to normal power share. The general paper attempted to discuss the section and secluding fundamentally basically based approaches for unmarried individual OFDMA structures. We have attempted our generations for L=1-4 oversampling cost and 256 FFT system and 128 sporadic substances bits to diminish the PAPR with the guide of dismissing at the correlative blend scattering work. It's far found inside the reproduction that top to regular power share diminishes to the tune of 8db from the unique unmodified machine.

Published by: Shubhangi Chakole, Dipa Kokane

Author: Shubhangi Chakole

Paper ID: V4I3-1690

Paper Status: published

Published: May 31, 2018

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Research Paper

Solitary pulmonary nodule detection in lung image using image processing

Cancer is a group of diseases begins in cells that are the basic building blocks of a body. There are different types of cancers but all starts with the cells growing out of control. The type and stage of cancer can be determined by determining where the abnormal growth occurs in the body and the type of cells that start to grow abnormally. The type of cancers often found in adults is endometrial cancer, skin cancer, lung cancer,ovarian cancer and breast cancer. Of these cancers the most common type of cancer is the Lung cancer. This type of cancer is common due to smoking. The earlier it is detected; the better is the chance of curing. This review examines and summarizes various techniques and algorithms used for lung cancer detection.

Published by: Ravina Jambhulkar, Anil Bavaskar, Mayuri Chawla

Author: Ravina Jambhulkar

Paper ID: V4I3-1654

Paper Status: published

Published: May 30, 2018

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Research Paper

Best feature selection for heart disease prediction using data mining

Data mining is a way for extracting the valuable knowledge patterns from a huge amount of data. Various data mining tools and techniques are used in the medical world for predicting the diseases. Heart disease is one of the common diseases nowadays. This paper presents different feature selection attribute Evaluator models Working with all attributes in data is not always useful so for this study we filtered selected attributes that will give maximum accuracy. This study compares various classification techniques for predicting heart disease with a different set of attributes selected using evaluators. The dataset used for the study is Cleveland heart dataset it has 14 attributes and 303 instances. For achieving the results, the different classification algorithms are applied on selected attributes taken after feature selection. The classifiers used in the study are J48, SMO, Multilevel perception, Bagging Naive Bayes Random Tree. Then, a comparative study is done on the basis of accuracy achieved from the different classifiers.

Published by: Anu Mehra, Dr. Shailendra Narayan Singh

Author: Anu Mehra

Paper ID: V4I3-1661

Paper Status: published

Published: May 30, 2018

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