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2016 | Buch

Adaptive Resource Allocation in LTE Downlink Transmission Systems Kapitel lesen Erstes Kapitel lesen

Mobile and Wireless Technologies 2016

herausgegeben von: Kuinam J. Kim, Naruemon Wattanapongsakorn, Nikolai Joukov

Verlag: Springer Singapore

Buchreihe : Lecture Notes in Electrical Engineering

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book presents the peer-reviewed contributions of ICMWT2016, an international conference devoted to mobile and wireless technology. Researchers and professionals from academia and industry met to discuss the cutting-edge developments in the field. The book includes papers on mobile and wireless networks, the increasingly important security issues, data management, as well as the latest developments in mobile software development.

Inhaltsverzeichnis

Frontmatter

Mobile, Wireless Networks and Applications

Frontmatter
Adaptive Resource Allocation in LTE Downlink Transmission Systems
Abstract
Dynamic resource allocation in 3GPP Long Term Evolution (LTE) for satisfying Quality-of-Service (QoS) requirement as well as improving the system throughput has gained significant attentions. In this paper, we proposed a buffer-aware adaptive resource allocation scheme for LTE downlink transmission to improve the overall system throughput while providing statistic QoS guarantee and keep certain fairness among users. Specifically, each users’ queue priority in the base station is ranked according to its remaining life time or its queue overflow probability which is estimated by applying large deviation principle. Based on the queue priorities, we dynamically allocate the Resource Blocks (RBs) for avoiding buffer overflow and guaranteeing the statistic QoS. The simulation results demonstrate that the proposed algorithm improves the system throughput and fairness while considerably reduces the average bit loss rate.
Ruiyi Zhu, Jian Yang, Peng Si
Energy-Efficient Power Allocation for Decode-and-Forward OFDM Relay Links
Abstract
This paper investigates the power allocation aiming to optimize the energy efficiency for an OFDM two-hop relay link based on DF protocol. First, an equivalent single-hop link is used to replace the two-hop link, and the model of the energy efficiency is established. When modeling the energy efficiency of the link, the circuit power consumption is not only taken into account, but also modeled as a linear increasing function of the rate. Subsequently, the energy efficiency optimization problem is solved by convex optimization, and the optimal power allocation is obtained under rate constraint. After that, the energy efficiency performance is also analyzed. Finally, the correctness of the theoretical analysis is verified by simulation results which adopt the spatial channel model conforming to the 3GPP standard, and the influence of circuit parameters on the performance of the system is also studied.
Guangli Zhou, Tao Wang, Yating Wu, Guoxin Zheng, Guangli Yang
Voice over LTE Performance Evaluation
Abstract
The 4G technology, known as Long Term Evolution (LTE), has been dominating the telecommunication market the last years offering a high data rate (up to 100Mbps) that will perfectly satisfy the users multimedia applications needs in term of bandwidth. Designed to be a fully packet switched network, LTE lack in offering the voice CS service. This paper propose an analytical model for simulating the performance of Voice over LTE (VoLTE) while presenting an overview of the latest up to date solutions for the voice over LTE such as Circuit Switched Fall Back, Voice over LTE via Generic Access and third party services for providing call continuity over LTE.
Ahmed Amou El Arby, Ousmane Thiare
Receiver-Based Adaptive Signal Control for Enhancing VoIP Speech Quality
Abstract
This paper proposes a receiver-based high performance adaptive signal control for enhancing Voice over Internet Protocol (VoIP) speech quality. In the proposed method, the buffering time is minimized by way of playing out normally, expanding or compressing each packet according to adaptive network jitter estimation. And recursive linear prediction-based packet loss concealment using an adaptive muting factor delivers high voice quality by concealing consecutive packet loss. Experimental results show that the proposed algorithm delivers high voice quality by pursuing an optimal trade-off between buffering delay and packet loss rate.
Hye-Seung Cho, Qing-Fu Han, Hyoung-Gook Kim, Jin Young Kim
AT-MAC: A Novel Full Duplex MAC Design for Achieving Asymmetric Transmission
Abstract
Wireless Full-duplex technique can significantly improve system throughput of a wireless network. Most existing full-duplex-supporting wireless MAC schemes only achieve symmetric transmission (i.e., the uplink throughput of a node is equal to its downlink throughput). However, in reality, the uplink and downlink traffic is often asymmetric. In this paper, we propose a novel MAC scheme called AT-MAC to achieve asymmetric transmission. In AT-MAC, upon receiving a packet, a receiver determines whether to execute a reverse transmission to the peer or to initiate a new transmission to a third node, according to the peer’s uplink and downlink requirements. Extensive simulations verify that the proposed design is feasible and efficient.
Zhijie Ma, Qinglin Zhao, Yu Zeng, Huan Zhang, Hong-Ning Dai
Effective Noise Reduction Methods for Rear-View Monitoring Devices Based on Microprocessors
Abstract.
This paper suggests effective noise reduction methods for the neckband devices which are able to monitor the rear-view images. This device helps the user to keep an eye on the rear areas which he/she cannot see in normal ways without turning back. In order to be used as a wearable device, the neckband device should have some particular properties such as small sizes, light weight, and low power consumption. When users walk or move, the neckband device also moves, which causes many noise effects to the system such as illumination changes and especially severe camera motion. We propose effective noise reduction methods to deal with these noise effects. The experiments demonstrate that the proposed methods have good performance in rear-view monitoring under the practical difficulties that arise due to users’ movement such as illumination changes and out of focus problems.
Huy Toan Nguyen, YongSu Choi, Gwon Seok Sun, Seung You Na, Jin Young Kim
A Dual-mode Beacon Profile for Normal and Disaster Environments
Abstract
In these days, the beacon has been widely used in all aspects of life. It can be used in marketing and loyalty, based on the location of advertisements or messages. But it has not been applied to the disaster environment. Recently, the disasters such as fire disaster and earthquake occur frequently around the world. They cause great threats to life and property. However, Modern architectures have high-rise and complex features that bring danger and greater challenges to the search and rescue work for firefighters. This paper proposes the design and implementation for a portable, power saving dual-mode beacon profile. The dual-mode beacon not only has the function of sending an advertisement, but also can sense the fire and earthquake to send out alarms. This system supports both the original beacon system and the disaster system. The beacon system gives you advanced information using Indoor Positioning System, while the disaster system helps you to exit and service escape route.
Sunggyun Jang, Guangqiu Jiang, Inwhee Joe
Energy-Efficient Activity Monitoring System Using a Wearable Acceleration Sensor
Abstract
As people pay more attention to their health issues, different types of human activity monitoring systems are emerging in the market. Many researchers have proposed various accelerometer sensor- based mobility monitoring systems. However, the energy efficiency of wearable activity monitoring systems has not been well studied. In this paper, we develop and test an application-level solution for achieving energy savings in a human daily activity monitoring system using a wearable wireless sensor. All functionalities including data processing, activity classification, wireless communication, and storage of classified activities are implemented in a single sensor without degrading the classification accuracy of the activities. Based on the experimental protocol with five major physical activities, the system achieves an average of 98 percent accuracy in classifying these daily activities with significant energy savings.
Ik-Hyun Youn, Sangil Choi, Jong-Hoon Youn
Multiweighted Petri Net Based Control in Indoor Navigation
Abstract
In this paper we use Multiweighted Petri Net, which is an extension of Petri Net, to model Indoor Navigation System. The core of the problem is to find the path from one object to another satisfying several requirements including those defined by the user.
Gairatzhan Mavlankulov, Laula Zhumabayeva, Mohamed Othman, Tamara Zhukabayeva, Zhanat Abdugulova
Using GSPNs for Performance Analysis of a New Admission Control Strategy with Retrials and Guard Channels
Abstract
The Small Cell Networks (SCNs) based on the idea of employing much smaller size cells cause the mobile subscribers to cross several cells during an ongoing conversation resulting in frequent handovers. Most of works dealing with Call Admission Control (CAC) problems based on guard channels scheme in cellular mobile networks, consider models without retrials (repeated calls). On the other hand, almost all existing works which take into account retrial phenomenon, consider a multi-servers retrial queueing model for which the analytical solution is not available. In this paper, we propose to use the Generalized Stochas-tic Petri Nets (GSPNs) formalism as a novel alternative for modeling and evaluating performances of a new CAC strategy with retrial policy of fresh and handover calls generated by a _nite source of subscribers, based on prioritization of retrial calls and adopting a guard channels borrowing concept, operating in SCNs. A performance study shows that our approach is more efficient compared to basic guard channel scheme with better blocking probability, especially for low to medium handover calls rates.
Nawel Gharbi

Security in Mobile and Wireless

Frontmatter
A Proposed Model for User Acceptance of Mobile Security Measures – Business Context
Abstract
Companies demand Mobile Enterprise Applications (MEAs) due to many advantages concerning their employees’ flexibility and productivity. However, adopting MEAs can be risky without applying suitable security measures and policies on mobile devices, namely smartphones and tablets. On the other hand, applying these on mobile devices can restrict their usage. In this paper, we argue that potential restrictions affect the user acceptance of using mobile devices for working purposes. Hence, mobile security measures were researched along with their possible consequences on mobile users. Based on that consequences, a questionnaire was designed and conducted to collect data needed to measure user acceptance. Furthermore, an extension of Technology Acceptance Model (TAM) was proposed taking the “perceived restrictions” as an important construct that affects the user acceptance of applying security measures on their mobile devices. The extended model will help companies by giving an indicator of the user acceptance keeping a balance between security and usability when adopting MEAs.
Basel Hasan, Eduard Rajski, Jorge Marx Gómez, Joachim Kurzhöfer
Speaker Verification Using A Modified Adaptive GMM Approach Based On Low Rank Matrix Recovery
Abstract
In this paper, we propose a new method to calculate observation confidence values that are applied in a modified adaptive GMM training for speaker verification. First, we use low rank matrix recovery (LRR) to find enhanced speeches and estimate frame SNR values. Then, a simple sigmoid function is applied to convert the frame SNR values into the observation confidence values. We also combine the frame SNR values estimated by the MMSE log-STSA and LRR methods in order to enhance performance of speaker verification system. To verify the accuracy of the system, we use utterances from a Korean movie “You came from the stars”. The experimental results show that our proposed approach achieves better accuracy than the baseline GMM-UBM under both clean and noisy environments.
Xinjie Ma, Tan Dat Trinh, Jin Young Kim, Hyoung Gook Kim
A SDN-based Network Intrusion Detection System to Overcome UPnP Security Drawbacks
Abstract
Internet of Things (IoT) can be defined as an intelligent infrastructure service that provides the means by which information can be exchanged through the interconnection of devices and people. While IoT services continue to be developed, the need to overcome its drawbacks is great. One weakness of IoT is that its technical characteristics expose it to diverse security threats. Because technical equipment has several limitations including restrictive hardware options and low power, it is vulnerable to physical attack or other security threats. In particular, universal plug and play (UPnP) plays a crucial role in connecting heterogeneous devices for IoT services to enable information exchange between them. However, UPnP has inherent security-related drawbacks because it is operated using simple service discovery protocol and user datagram protocol (UDP). Solving the issues of network security and access by unauthorized users is now critical. In this paper, we analyze security vulnerabilities of UPnP, define the rules for distributed Denial-of-service attack situations, attempt to overcome the drawbacks of Software-defined-networking (SDN)-based network intrusion detection systems. Also, we propose to establish an internal IP address of a network device in the virtual environment and present rules to prevent attack scenarios.
Duc-sun Lim, Jin-yeong Kang, In-whee Joe
A Graph-based Method for Performance Analysis of Energy Harvesting Wireless Sensor Networks Reliability
Abstract
In the near future, networked wireless devices outnumber traditional electronic appliances. Internet of Things will enable a plethora of new applications in environmental monitoring, agricultural industry, medical diagnostics, security and transportation business, in analysis of equipment performance, conditions, troubleshooting and monitoring. Nowadays, the concept of wireless sensor networks is considered as an important part of Internet of Things. Recent advances in energy harvesting technology for wireless devices have increased the lifetime and throughput of wireless sensor. However, sensor networks reliability has to be improved as well. To fill this gap we offer a method for efficient estimation of network performance and reliability.
Vladimir Shakhov

Mobile Data Management and Applications

Frontmatter
High-Performance Fault-Tolerant Data Caching and Synchronization Architecture for Smart-Home Mobile Application
Abstract
Mobile devices are becoming the preferred choice for internet access as they are getting increasingly powerful and affordable. But because of lack of ubiquitous high bandwidth wireless internet, many mobile applications suffer from performance and reliability issues while accessing data from the servers. While many of the applications use caching mechanism to store data locally on mobile device to improve data access performance, they are not thoroughly focusing on related areas such as two-way data synchronization, fault tolerance and recovery, offline mode support and real-time update support. And hence even many reputed applications show inconsistent and out-of-date data; especially during network and battery outages. In this paper we propose usage of Replication process, Pending data process, targeted data update broadcasts to solve the above issues in the software architecture of Smart-Home project.
Ramesh Guntha, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh
Cooperative Big Data Processing Engine for Fast Reaction in Internet of Things Environment: Greater Than the Sum of Its Parts
Abstract
This paper outlines cooperative big data processing engine in Internet of Things environment. Our platform splits an analytical job into two meaningful sub-jobs. First one of two sub-jobs push away from centralized points (e.g., analysis server) to the physical Internet of Things devices (e.g., embedded devices) for filtering out the inconsequential messages and achieving the best message-response possible. Second one of two sub-jobs conducts remaining parts of complicated analytic mission in traditional servers. This approach significantly decreases the data volume that must be moved, the consequent traffic. Furthermore, it can provide faster reaction in most instances.
Yong-Ju Lee, Hwin Dol Park, OkGee Min
RANKING AND SELECTION CRITERIA OF MOBILE SERVICES USING ANALYTIC HIERARCHY PROCESS
Abstract
Mobile services in Malaysia have shown tremendous growth in subscribers since 2000. Based on previous studies, mobile services play a significant role in consumers’ decisions and access to consumers’ needs. Each mobile operator offers different packages and value-added services; therefore, there is huge competition among mobile service provider. The objective of this study is to propose mobile services that give the most value-added based on a range of criteria. An Analytical Hierarchy Process (AHP) approach is adopted to solve the multi-criteria decision making. A questionnaire was distributed to 101 mobile phone users between the ages of 20 to 29, who were subscribers, and had experience using mobile services. Four criteria associated with mobile services are payment mode, functionality, value-added and perceived value. The results indicated that the payment mode criterion ranked top, followed by functionality, value-added and perceived value criteria, respectively. The rankings for related sub-criteria are also shown in this study. Mobile service operators may use the results as guidelines to produce better services in order to remain competitive.
Rohaizan Ramlan, Shiau Wei Chan, Rohayanti Hassan, Rashidah Mokhtar, Nur Amirah Sakeri
Data Quality of ERP systems in Mobile Environment
Abstract
Data can be regarded as an important asset of the organisation. Valid data at the right time is able to support appropriate decisions of employees from operational through executive level. As a result, there is an effective flow of the working processes across the organisation. Enterprise Resource Planning Systems (ERP Systems) is the core internal application that integrates and optimises business processes. It also establishes the main database to centralise data and information of the enterprise. Recently, the growth of wireless and mobile technology has led ERP system to become more accessible via mobile devices. However, input data from the users might be in different forms since there are various mobile platforms. Consequently, there might be an impact on data quality of the systems and might further provide negative effects for business. This paper, therefore, aims to identify and propose data quality dimensions for mobile ERP systems. This paper has the methodology that primarily focused on the study of literature reviews. Despite a limitation regarding the practical result, this paper contributes a guideline for data quality dimensions that should be considered to utilise the mobile ERP system for business.
Porntida Kaewkamol
m-PACS gateway platform for mobile-based diagnostic medical image service
Abstract
This paper describes an efficient and effective gateway platform, which provides a mobile-based picture archiving communication system (m-PACS) for diagnostic medical image service available via android-based mobile phone. The proposed m-PACS platform plays a role as a gateway to provide a standard way of communicating between mobile phone and hospital’s PACS, and also allows trustworthy and resilience service of mobile applications on demand. This m-PACS platform has a three-layered structure which consists of management layer, functional layer and network layer. Especially, the functional layer includes the following features for mobile-based diagnostic image processing: header syntax conversion for single standard format, resolution transformation on JPEG/JPEG2000, text and avatar search, and etc. Finally, a mobile service system is developed for the use of the m-PACS platform in the android framework, and this is shown to provide a useful and efficient solution for a mobile-based diagnostic image service.
Yongsoo Kim, Woon Cho, Daewon Chung, Jihoon Cho, Joonhyeon Jeon

Mobile Software

Frontmatter
Mobile Learning Development for Supporting Computer Programming Skills
Abstract
This is so difficult for the first year students to start to write computer program in the subject of writing basic computer program due to most of students don’t have a good basic of sciences and mathematics including lack of interesting in the subject processes related to writing Programming Assistance Instrument, which is web application that can help to motivate students to learn about writing fundamental program efficiency. This will help to increase learning skills and related to idea for students to write computer program very well. This research has proposed that the first year students, which are learning in Modern Management and Information Technology (MMIT) Course of College of Arts, Media and Technology should receive the contribution in writing computer program with this Programming Assistance Instrument that the main objective of this research is the contribution of knowledge include helping MMIT students to understand the idea of writing basic computer program in order to have motivation to learn and write further other computer programs. The expected result that should be received is the students who have use Programming Assistance Instrument will get knowledge, understanding and motivation in writing computer program better than students who studied with the old method.
Krittawaya Thongkoo
A GPU Powered Mobile AR Navigation System
Abstract
This paper presents a real-time Augmented Reality Navigation system (ARNavi) on Android mobile phone that exploits the parallel computing power of mobile GPUs. Unlike conventional navigation systems, our proposed ARNavi augments navigation information onto live video streaming from device camera in real-time. The contributions of this paper are two-fold. First, we propose a fast and accurate lane detection and mapping algorithms. Second, we demonstrate that real-time augmented reality navigation can be achieved by taking advantage of CPU-GPU heterogeneous computing technology on a mobile processor. We achieve up to 18 FPS for 640 × 360 resolution camera streaming. It is more than 2.6 × speedup over CPU only execution .
Mengshen Zhao, Byunghyun Jang
A Simulator to Study the Effects of Color and Color Blindness on Motion Sickness in Virtual Reality Using Head-Mounted Displays
Abstract
We have created an Android-based virtual reality (VR) simulator to investigate the effects that color and color blindness have on visually induced motion sickness in virtual reality using Samsung Gear VR. We simulate a patterned optokinetic drum or sphere spinning for test subjects to look at. By choosing specific colors and using color blindness filters, we can investigate the impact on a colorblind person who looks at a spinning optokinetic drum or sphere that seemingly shows one flat color. The amount of the time that elapses before motion sickness symptoms occur can be recorded and compared among observers with normal color vision, colorblind observers, and test subjects who have a color blindness filter enabled. We believe that our new tool will contribute to improvements in accessibility of VR games and simulations developed for modern head–mounted displays, including those designed to hold a mobile device, such as a smartphone or tablet.
Dmitri A. Gusev, David M. Whittinghill, Justin Yong
An Artificial Intelligence Approach to Dyscalculia
Abstract
Dyscalculia stands for a brain-based condition that makes it hard to make sense of numbers and mathematical concepts. Some adolescents with dyscalculia cannot grasp basic number concepts. They work hard to learn and memorize basic number facts. They may know what to do in mathematical classes but do not understand why they are doing it. In other words, they miss the logic behind it. However, it may be worked out in order to decrease its degree of severity. For example, disMAT, an app developed for android may help children to apply mathematical concepts, without much effort, that is turning in itself, a promising tool to dyscalculia treatment. Thus, this work focuses on the development of an Intelligent System to estimate children evidences of dyscalculia, based on data obtained on-the-fly with disMAT. The computational framework is built on top of a Logic Programming framework to Knowledge Representation and Reasoning, complemented with a Case-Based problem solving approach to computing, that allows for the handling of incomplete, unknown, or even contradictory information.
Filipa Ferraz, José Neves, António Costa, Henrique Vicente
Using Mobile Game to Enhance the Learning Motivation and Performance in Higher Education
Abstract
The changes of technology are affecting today’s lifestyle. Mobile applications are widely used in daily life, business function, and education. There also has been an emerging of developing educational models which suit to new technologies. Therefore, learners and lecturer in this era in particular those who involved with education institutions and related organizations need to concern. This paper presents an idea of developing the teaching and learning model in higher education for improving learners’ motivation and performance by using mobile game since mobile technologies is equipped with advance features and most learners have and use them on a regular basis. It would be useful if learners can use mobile technologies as a tool for helping them to be more educated.
Kannika Daungcharone
Pre-extraction of Features and Environment Variable-based Database Filtering for Fast Image Matching on Mobile
Abstract
Image matching refers to a technique which finds the best matching image from the database to an input image. Currently, feature-based image matching is widely used, and several features have been proposed to reduce the computational cost of image matching. This paper presents a method to further reduce the computational cost of image matching so that image matching can be applicable to mobile services. To this end, instead of storing images to manage the database, we extract features from images in the database beforehand and keep the features. In this way, the computational cost of the actual image matching is reduced since feature extraction is performed on the input image only. Furthermore, we manage the environment variables of each photographing. As most of the current mobile phones have GPS sensor and magnetometer, we utilize these variables to narrow down the matching candidates in the database. The proposed method was applied to outdoor localization, and simulation results show that the proposed method reduced the computational cost for image matching.
Sung Soo Hwang, Sung Ho Hong
Mobile Sample Allocation and Management System for BioBank
Abstract
The main objective for our development is to systemize and assist the process of storing samples for hospital’s lab technicians through our mobile application. The system will keep tracking of all the samples along with included check-in, check-out processes. This is necessary because the current arrangement is complex, inconvenient, and very prone to errors. By developing this application on a mobile platform, it can provide the user mobility and flexibility that boosts performance in their working environment. Moreover, the application keeps data consistent with the use of a full, but light-weighted database. The application will be built using Xcode and its database will be created using SQLite. Furthermore, the application also implements a barcode scanner to further eliminate most human-errors that may happen in the process. The application is tried by lab technicians as our stakeholders. The feedbacks reported that the stakeholders are pleased with the application, and it can assist managing samples in the lab.
Anupat Maturongpituck, Natchanon Bunpetch, Anon Tatvichai, Lalita Narupiyakul
MDA Approach to Automate Code Generation for Mobile Applications
Abstract
The development of mobile applications is increasingly growing up in our environment due to the intensive use of applications in mobile devices with touch screens. However, the diversity of mobile operating systems (iOS, Windows Phone, Android, etc.), requires additional cares like code efficiency, interaction with device resources, as well as short time to market. What makes developers facing a big challenge of developing the same application for different platforms. Considering this development complexity, we directed our work to platforms using Model Driven Architecture (MDA) combined with UML, as previously used in software engineering, can offer abstraction and automation for mobile applications developers. This paper presents a MDA approach for mobile applications development including UML based modeling and code generation according to the principal (Develop Once, Use Everywhere) in order to facilitate and accelerate the development of mobile applications.
Hanane Benouda, Mostafa Azizi, Redouane Esbai, Mimoun Moussaoui
Backmatter
Metadaten
Titel
Mobile and Wireless Technologies 2016
herausgegeben von
Kuinam J. Kim
Naruemon Wattanapongsakorn
Nikolai Joukov
Copyright-Jahr
2016
Verlag
Springer Singapore
Electronic ISBN
978-981-10-1409-3
Print ISBN
978-981-10-1408-6
DOI
https://doi.org/10.1007/978-981-10-1409-3

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