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Telecommunication Networks: B. Sc. Projects Orientation
© Tallal Elshabrawy 2 Preliminaries What should you gain out of your B.Sc. Project? 1.Learn the METHODOLOGY of doing a project Plan a work schedule & achieve it Being original Defy obstacles on your own Document your work Work in a team 2.Apply the information you study from different courses in one common project. 3.What kind of ENGINEER are you really going to turn out to be?
© Tallal Elshabrawy 3 Preliminaries What types of B.Sc. Projects are out there? Study & Design Practical &Production Research
© Tallal Elshabrawy 4 Preliminaries What types of B.Sc. Projects are out there? Study & Design Practical &Production Research Research: Contribute to the advancement of technology. It is challenging & satisfying to be the first to do something Aiming for a masters degree?
© Tallal Elshabrawy 5 Preliminaries What types of B.Sc. Projects are out there? Study & Design Practical &Production Research Study & Design: Master the understanding of material you study in different courses Develop, design and implement a simulation model
© Tallal Elshabrawy 6 Preliminaries What types of B.Sc. Projects are out there? Study & Design Practical &Production Research Practical & Production: Have an output product/Hardware (not just curves from a MATLAB model) A type of activity you would do possibly in work when you graduate
© Tallal Elshabrawy Integrated Wireless Indoor Planning & Optimization Tool for LTE Networks 7
© Tallal Elshabrawy Mobile Data Tremendous Traffic Growth 8 [Ref] Cisco, “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013–2018”, White Paper Feb.2014 CAGR: Compound Annual Growth Rate 1 Exa Byte = 1 Billion (10 9 ) Giga Byte
© Tallal Elshabrawy Predominant Indoor Data Traffic 9 [Ref] Nokia Siemens, “Improving 4G coverage and capacity indoors and at hotspots with LTE femtocells”, White Paper 2011 Indoor Planning & Optimization a Key Figure in Coping with Indoor Data Traffic Growth Indoor Planning & Optimization a Key Figure in Coping with Indoor Data Traffic Growth
© Tallal Elshabrawy Distributed Antenna System 10
© Tallal Elshabrawy LTE-A Relay 11
© Tallal Elshabrawy Femto Cells 12
© Tallal Elshabrawy Projects: Capacity of DAS & Relay 13 How Many Antennas? Where to Install Them?
© Tallal Elshabrawy Projects Turbo Ray Tracing 14
© Tallal Elshabrawy Image Theory 15
© Tallal Elshabrawy Proposed Turbo Ray tracing 16
© Tallal Elshabrawy 17 Projects: Calibration
© Tallal Elshabrawy Related Work 18
© Tallal Elshabrawy SDR RFID Reader 19
© Tallal Elshabrawy RF IDs 20
© Tallal Elshabrawy RF ID System Example 21
© Tallal Elshabrawy Challenges 22
© Tallal Elshabrawy Frame Slotted ALOHA 23
© Tallal Elshabrawy RFID Communication 24
© Tallal Elshabrawy RFID Collision Constellation 25
© Tallal Elshabrawy RFID Practical Measurements 26
© Tallal Elshabrawy Decoding Collided Slots Reduces Delay 27
© Tallal Elshabrawy Projects: SDR RFID Reader 28
© Tallal Elshabrawy An IoT Framework for Smart Energy Management 29
© Tallal Elshabrawy System Architecture 30
© Tallal Elshabrawy System Block diagram 31
© Tallal Elshabrawy Coexistence of IEEE 802.15.4 & WLAN Many IEEE 802.15.4 systems will be deployed indoors widely populated by WLAN Networks 12 out of 16 IEEE 802.15.4 Channels subject to WiFi interference 32 WiFi Ch. 6WiFi Ch. 1WiFi Ch. 11 11121314151617181920212223242526
© Tallal Elshabrawy Coexistence of IEEE 802.15.4 & WLAN CSMA/CA based MAC Protocols Coexistence Modes: Symmetric Asymmetric
© Tallal Elshabrawy Beaconed Mode IEEE 802.15.4 CSMA/CA 34 NB=0, CW=2, BE =macMinBE Delay for Random (2 BE -1) Slots Perform CCA (1 st or 2 nd ) CCA Success? CW=CW-1 CW=0? CW=2, NB=NB+1, BE =min(BE+1,macMaxBE) NB> maxNB? Data Packet from Upper Layer Packet Discard Packet Transmission
© Tallal Elshabrawy Beaconed Mode IEEE 802.15.4 CSMA/CA 35 T slot
© Tallal Elshabrawy Collision Modeling 36 Interleaving Collision Interference Tolerable Collision Percentage
© Tallal Elshabrawy Project: Simulation Model for IEEE 802.15.4 under External Interference 37
© Tallal Elshabrawy Frequency Hopping 38
© Tallal Elshabrawy Test bed Frequency Hopping: Micaz 39
Traffic Modeling. © Tallal Elshabrawy What is Traffic Modeling Statistical Representation of Traffic generated: From Users to Network From Network.
Token-DCF, COMSNET(2013) -> MOBICOM(2014). Introduction ▣ To improve standard MAC protocol of IEEE for WLAN. ▣ S-MAC, A-MAC, SPEED-MAC, and etc.
Doc.: IEEE /66r0 Submission March 2000 Nada Golmie, NISTSlide 1 IEEE P Working Group for Wireless Personal Area Networks WPAN Coexistence.
X. Li, W. LiuICC May 11, 2003A Joint Layer Design Smart Contention Resolution Random Access Wireless Networks With Unknown Multiple Users: A Joint.
WiMAX Vs Wi-Fi. 2 WiMAX Worldwide Interoperability for Microwave Access Brand licensed by the WiMax Forum. “a standards-based technology enabling the.
November 4, 2003APOC 2003 Wuhan, China 1/14 Demand Based Bandwidth Assignment MAC Protocol for Wireless LANs Presented by Ruibiao Qiu Department of Computer.
1 Grid-Based Access Scheduling for Mobile Data Intensive Sensor Networks C.-K. Lin, V. Zadorozhny and P. Krishnamurthy IEEE International Conference on.
Angular MAC: a framework for directional antennas in wireless mesh networks Erdem Ulukan and Özgür Gürbüz Faculty of Engineering and Natural Sciences,
Enhancing Wireless Networks with Directional Antenna and Multiple Receivers Chenxi Zhu, Fujitsu Laboratories of America Tamer Nadeem, Siemens Corporate.
A Multi-Channel Cooperative MIMO MAC Protocol for Wireless Sensor Networks(MCCMIMO) MASS 2010.
Submission doc.: IEEE 11-13/1398r0 Nov 2013 Akira Yamada, NTT DOCOMO, Inc.Slide 1 Requirements for HEW Date: Authors:
Wireless Sensor Networks M Homework #2. IEEE MAC Protocol - Star topology – Part I Consider a square area equipped with 30 nodes distributed.
Interactions Between the Physical Layer and Upper Layers in Wireless Networks: The devil is in the details Fouad A. Tobagi Stanford University “Broadnets.
Opportunistic Packet Scheduling and Media Access Control for Wireless LANs and Multi-hop Ad Hoc Networks Jianfeng Wang, Hongqiang Zhai and Yuguang Fang.
Doc.: IEEE /482r0 Submission October 2001 Steve Shellhammer, Symbol Technologies Slide 1 IEEE P Working Group for Wireless Personal Area.
Demand Based Bandwidth Assignment MAC Protocol for Wireless LANs K.Murugan, B.Dushyanth, E.Gunasekaran S.Arivuthokai, RS.Bhuvaneswaran, S.Shanmugavel.
Heterogeneous Wireless Access in Large Mesh Networks Haiping Liu, Xin Liu, Chen-Nee Chuah, Prasant Mohapatra University of California, Davis IEEE MASS.
Wireless MESH network Tami Alghamdi. Mesh Architecture – Mesh access points (MAPs). – Mesh clients. – Mesh points (MPs) – MP uses its Wi-Fi interface.
Energy-Conserving Access Protocols for Identification Networks By Imrich Chlamtac, Chiara Petrioli, and Jason Redi IEEE/ACM TRANSACTIONS ON NETWORKING,
Self Organization and Energy Efficient TDMA MAC Protocol by Wake Up For Wireless Sensor Networks Zhihui Chen; Ashfaq Khokhar ECE/CS Dept., University of.
Providing End-to-End Delay Guarantees for Multi-hop Wireless Sensor Networks I-Hong Hou.
© Sarvesh 25 November 2015Cross-layer optimization for VoIP over WLAN125 November Cross Layer optimization for VoIP over WLAN [Yuan Liu Zhu] A Presentation.
Rami Melhem Sameh Gobriel & Daniel Mosse Modeling an Energy-Efficient MAC Layer Protocol.
Performance Characterization of Voice over Wireless LANs Lionel PEREZ August 3rd, 2005.
6: Wireless and Mobile Networks6-1 Chapter 6: Wireless and Mobile Networks Background: r # wireless (mobile) phone subscribers now exceeds # wired phone.
Mobility Increases Capacity In Ad-Hoc Wireless Networks Lecture 17 October 28, 2004 EENG 460a / CPSC 436 / ENAS 960 Networked Embedded Systems & Sensor.
Min Song 1, Yanxiao Zhao 1, Jun Wang 1, E. K. Park 2 1 Old Dominion University, USA 2 University of Missouri at Kansas City, USA IEEE ICC 2009 A High Throughput.
Communication Protocol Engineering Lab. A Survey Of Converging Solutions For Heterogeneous Mobile IEEE Wireless Communication Magazine December 2014 Minho.
TiZo-MAC The TIME-ZONE PROTOCOL for mobile wireless sensor networks by Antonio G. Ruzzelli Supervisor : Paul Havinga This work is performed as part of.
Doc.: IEEE /1126r0 Submission September 2012 Krishna Sayana, SamsungSlide 1 Wi-Fi for Hotspot Deployments and Cellular Offload Date:
Voice Traffic Performance over Wireless LAN using the Point Coordination Function Wei Supervisor: Prof. Sven-Gustav Häggman Instructor: Researcher Michael.
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Critical Area Attention in Traffic Aware Dynamic Node Scheduling for Low Power Sensor Network Proceeding of the 2005 IEEE Wireless Communications and Networking.
1 Quick Review on Data Link Layer – Part 2 Jonathan C.L. Liu, Ph.D. Department of Computer, Information Science and Engineering (CISE), University of Florida.
Khaled Hatem Almotairi and Xuemin (Sherman) Shen Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West Waterloo,
Adaptive Roaming between LTE and Wi-Fi 1 Daeguil Science high school, Daegu, Republic of Korea. 2 Daegu Gyeongbuk Institute of Science and Technology,
Doc.: IEEE /559r0 Submission May 2009 Minyoung Park, Intel Corp.Slide 1 Analysis on IEEE c coexistence scheme Date: Authors:
On Mitigating the Broadcast Storm Problem with Directional Antennas Sheng-Shih Wang July 14, 2003 Chunyu Hu, Yifei Hong, and Jennifer Hou Dept. of Electrical.
User Cooperation via Rateless Coding Mahyar Shirvanimoghaddam, Yonghui Li, and Branka Vucetic The University of Sydney, Australia IEEE GLOBECOM 2012 &
Improving the scalability of MAC protocols in Wireless Mesh Networks Mthulisi Velempini (Mr.)
Discovering Sensor Networks: Applications in Structural Health Monitoring Summary Lecture Wireless Communications.
Enhancing Bluetooth TCP Throughput via Packet Type Adaptation Ling-Jyh Chen, Rohit Kapoor, M. Y. Sanadidi, Mario Gerla Dept. of Computer Science, UCLA.
Wireless Sensor Network Protocols Dr. Monir Hossen ECE, KUET Department of Electronics and Communication Engineering, KUET.
COE-541 LAN / MAN Simulation & Performance Evaluation of CSMA/CA Presented by Muhamad Khaled Alhamwi.
The University of Bolton School of Business & Creative Technologies Wireless Networks Introduction 1.
Performance comparison between slotted IEEE and IEEE ah in IoT based applications Speaker: Po-Hung Chen Advisor: Dr. Ho-Ting Wu 2016/01/21.
© Kemal AkkayaWireless & Network Security 1 Department of Computer Science Southern Illinois University Carbondale CS591 – Wireless & Network Security.
Cross-Layer Network Planning and Performance Optimization Algorithms for WLANs Yean-Fu Wen Advisor: Frank Yeong-Sung Lin 2007/4/9.
Network Technology CSE Network Technology CSE3020 Week 9.
Supervisor: Prof. Jyri Hämäläinen Instructor: M.Sc Zhong Zheng A part of NETS2020 project Ying Yang
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