dissertaçõespara 2017/2018 1º semestre
TRANSCRIPT
Dissertações para 2017/2018 1º Semestre
Grupo de telecomunicaçõesDept. Engenharia ElectrotécnicaFaculdade de Ciências e TecnologiaUniversidade Nova de Lisboa
junho 22, 2017FCT-UNL, Portugal
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
ResumoØ Introdução às áreas de investigação no grupo
Ø Apresentação das propostas de dissertação
Ø Perguntas
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Áreas de investigaçãoØ Redes de TelecomunicaçõesDesenho e arquitectura de redes; Protocolos de comunicação; Software de rede e aplicações; Operação e gestão de redes; etc.
Ø ComunicaçãoComunicações sem fios; Comunicações com espalhamentode espectro; Sincronização, equalização, detecção e estimação de canal; Modulação e desenho de sinal; Teoriada codificação e aplicações; etc.
Ø Antenas e Propagação
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
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Áreas de investigaçãoØ Redes de TelecomunicaçõesPaulo Pinto, Luis Bernardo, Rodolfo Oliveira, Pedro Amaral
ComunicaçãoRui Dinis, Paulo Montezuma, Marko Beko
Ø Propagação e RadiaçãoIsabel Ventim Neves
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
DISSERTAÇÕES PROPOSTAS
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
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#1. Dynamic scheduling of slices in 5G Networks
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Requirements: approval in Configuração e Gestão de Redes
Apply the concept of slices to provide network services complying with a SLA and are suitable for different use cases, subscriber types, and applications.
The purpose is to offer different conditions of latency, throughput and availability.
The scope of the dynamic nature will be defined in the thesis. It can mean on-the-fly deployment, bulk transfer of functions and traffic, etc. Scalability issues will be addressed. Supervisor: Paulo Pinto
#2 Near Optimal TE and NFV placement using SDN tools
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
SDN open way to approaches to both problems based on LinearOptimization:• Complex, require a high number of rules in the switches (critical
resource) and the control loop can lead to transient congestion
Classical Networks use distributed routing and forwarding:• Simple and scalable but using local information and ECMP forwarding
leads to poor utilization
Network Function Virtualization, virtualizes in software several traditionalHardware funtionality (load balancing, NAT, Firewalls etc..). NFVs mustbe placed in the Network and traffic must be steered to them.• NFV placement problem
#2 Near Optimal TE and NFV placement using SDN tools
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Approach:• Build on top of ongoing work (SDN architecture with distributed
control)• Compare the scalability and performance of the alternative schemes to
linear optimization, in terms of performance and scalability.• Schemes based in Social Network theory (Eigen Vector Centralities
etc..) adapting the topological measures to capacity/demand basedmesures.
• Schemes based in ML algorithms.• Apply the same principles to the NFV placement problem.
Supervisor: Pedro Amaral
#3 Machine Learning for network control
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
In modern networks (with SDN solutions and NFVs running in software)richer network information is obtainable (flow durations ; packet counts;byte counts etc...) and control is via software.
Approach:• Build on top of ongoing work, SDN based architecture to collect traffic
statistics from network vantage points.• Explore data mining algorithms for user profiling and network
profiling.• Use learned information for traffic Managment and learning based
network optimization.
What can we learn from collected data using data analytics:• Pattern recognition, User profiling, Etc..
Reinforcement learning for traffic Managment
Supervisor: Pedro Amaral
#4 Hybrid SDN network implementation
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Interconnecting SDN networks with legacy networks poses challenges.
Dealing with Broadcast L2 Traffic. Interworking with distributed controlplane protocols, Address translation, interactions with the hosts etc..
Solving these problems with current SDN architectures might not scale.
Objectives:• Implement a 2.0 version of the currently deployed SDN network at the
DEE.• Phase out the current legacy network.• Study the interconnection problems with the rest of the non-SDN
network of the campus• Interconnect with the OpenStack cloud at the Datacenter.
Supervisor: Pedro Amaral
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#5 Protocol’s Behavior Analysis
q Main goal:
- identify and assess efficient techiques to attest theprotocols’ behavior (data science techniques +support of BigData technology);
- practical setup with large amount of data;
- protocols (GSM signaling, GTP, SIP, SDP, RTP)
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#5 Protocol’s Behavior Analysis
q Opten-BTS (LTE, UMTS, GSM)
q Asterisk-SIP Server
q 4G IMS core
q Supervisor: Rodolfo Oliveira
GSM
Asterisk-SIP Server
IMS 4G Core
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
q Tentative work plan:0 - State-of-the-art (initial readings);
1 – Testbed Cognizance Stage
2 - Offline Data Acquisition;
3 - Online Data Analysis;
4 - Performance Evaluation;
5 - Design of Online Analysis;
6 - Reporting and thesis writing;
#5 Protocol’s Behavior Analysis
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#6 IEEE 802.15.4 MAC performance
q Main goal:- contribute with a theoretical model for theperformance of IEEE 802.15.4 and similar protocols
- focus: beacon mode
- validation of the model through simulation andreal data (using SunSpots)
q Supervisor: Rodolfo Oliveira
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#6 IEEE 802.15.4 MAC performance
q Tentative work plan:0 - state-of-the-art (initial readings);
1 - definition of the simulations;
2 - theoretical model development;
3 - operational scenarios (definition);
4 – simulation, validation and evaluation(comparison);
5 - reporting and thesis writing;
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#7 How much energy can be harvested?
q Main goal:- quantify the amount of energy transmitted bydifferent devices (cellular, wifi, bluetooth, DECT,15.4) in an experimental way;
minorgoals:- RF exposure and SAR
q Supervisor: Rodolfo Oliveira
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#7 How much energy can be harvested?q Tentative work plan:
0 - state-of-the-art (initial readings);
1 - identification of accurate methodologies tomeasure RF energy (SAR standards);
2 - theoretical model development;
3 - operational scenarios (definition);4 – simulation, validation and evaluation(comparison);
5 - reporting and thesis writing;
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#8 Cognitive Radio
q Software Defined Radio + Sensing + MAC
q Supervisor: Rodolfo Oliveira
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#8 Cognitive Radio
q Software Defined Radio + Sensing + MAC
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#9 MAC for Positioning Systems
q Main goal:
- Positioning systems are focused on obtainingaccurate location results
- How MAC can take advantage of the nodes’position while integrating the operationalfeatures of the Positioning System?
q Supervisor: Rodolfo Oliveira + Marko Beko
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
#10 Distributed Access in 5G Systems
q Main goal:
- MPR + MAC for distributed access;
- Random Access
q Supervisor: Rodolfo Oliveira
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Research area: Transmission techniques and efficient amplificationtarget and applications?Resumo
1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
• Next generation of 5G systems;• Power efficient transmission structures for 4G and 5G;• Power efficient wireless transmission systems with physical
layer security -> higher battery life on mobile devices;• Physical layer security -> increased security against
interceptions;• Power amplification of single carrier and multi carrier systems.
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#11 Impairments in quantized linear amplification with nonlinear amplifiers
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
A linear amplification method based on nonlinear amplifiers for single carrier and multi-carrier communication systems:1. Achieves a linear amplification with nonlinear amplifiers. 2. Performs a linear amplification of the quantized values of the
samples of a single carrier (SC) signal or the time domain samples resulting from an inverse fast Fourier transform (IFFT) of a multi-carrier signal (MC).
3. Suitable for further communication systems and the existing ones with envelope fluctuations.
Objectives: Analyse the impairments that may affect the performance of such structure. This includes the effect of the quantizer, the mismatches between amplification branches and spectral impact.Supervisors: Paulo Montezuma & Rui Dinis
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#12 On-off structures for linear amplification with multiple nonlinear amplifiers
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
A linear amplification method based on nonlinear amplifiers for single carrier and multi-carrier communication systems:1. Achieves a linear amplification with multiple nonlinear amplifiers. 2. Performs a linear amplification of the quantized values of the
samples of a single carrier (SC) signal or the time domain samples resulting from an inverse fast Fourier transform (IFFT) of a multi-carrier signal (MC).
3. Suitable for further communication systems and the existing ones with envelope fluctuations.
Objectives: design and optimization of the combiners and pulse shape design for optimization of the spectral masks in these on-off amplification structures.Supervisors: Paulo Montezuma & Rui Dinis
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#13 Implementation of OFDM-Based Communications in Software Defined Radio
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
The goal of this thesis is to use SDR (Software-Defined Radio) tools to implement and demonstrate wireless communications based on OFDM schemes.This work will have the following steps:1) Implementation in MatLab of the OFDM-based transmission scheme2) Simulink implementation3) SDR implementation4) Analysis of the transmission characteristics (spectral densities, error
rates, etc.)5) Transmission of specific data (files, pictures, video)Supervisors: Rui Dinis, João Guerreiro, Paulo Montezuma
- Massive MIMO Systems- Huge number of antennas- High capacity gains- Channel estimation difficulties
- Several thesis- Capacity gains under realisticchannel conditions
- Hybrid analy/digital massiveMIMO schemes
- Impact of hardwareimpairments
- Supervisors:- Rui Dinis, Paulo Montezuma,Marko Beko 26
#14 Massive MIMO techniques for 5G Systems
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
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#15 Protocol for Extreme Low Latency M2M Communication Networks
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Requirements: approval in Redes Móveis
Protocol for Ultra dense Reliable Low Latency (URLL) communication in 5G machine-type communication (MTC). Design a MAC protocol and dynamic spectrum management algorithm, that adapts access to the expected load / terminal densityPerformance evaluation using simulation Optimize the protocol’s performance
Supervisor: Luis Bernardo
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#16 C-RAN CoMP Methods for MPR Receivers
Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Requirements: approval in Redes Móveis;recommended Comunicação Digital
Fronthaul/Backhaul configuration in a C-RAN for 5G Ultra Reliable Low Latency (URLL) communicationConfigure C-RAN fronthaul SDN flows and processing units to support CoMP and provide URLL using a MPR receiverUse data analytics and learning techniques to implement C-RAN CoMP self-configuration in real-timePerformance evaluation using simulation
Supervisors: Luis Bernardo & Rui Dinis
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# Cooperation with NokiaResumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas
Additional thesis will be proposed in co-supervision with Nokia
Details will be provided later!
Subjects will possibly cover:- Automatic network configuration tool- Cognitive Radio- SDN - C-RAN optimization
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Resumo1. Introdução
2. Apresentaçãodas dissertações
3. Perguntas