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Presentation
Presentation
Wireless Cooperative Systems is a first-year doctoral unit with a foundational chapter that examines systems, technologies, and user-centric communication paradigms. It equips students with knowledge of next-generation networks to study low-cost, robust solutions that extend wireless access, linking architectures, techniques, and services in cooperative wireless systems. The unit introduces advanced technologies—NOMA, AF/DF relays, and UAV cooperative communications—and essential tools for large-scale systems study, including graph theory, information-dissemination algorithms, distributed optimization, cognitive radio, and SWIPT-based systems, preparing students to contribute to research in advanced wireless technologies. It also spans fundamentals (WiMAX, VANET, 4G LTE/LTE-Advanced), simulation of detection methods in MATLAB/Python, dedicated UAV modules, spectrum-optimization via NOMA and cognitive radio, SWIPT and optimization topics, and group projects.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Doctorate | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Optional | Português
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Code
Code
ULHT1504-13766
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Introduction to Cooperative Systems 2. Cooperative Communication Systems: WIMAX, VANET, 4G LTE, and LTE Advance 3. Amplification and Routing (AF) and Decoding and Routing (DF) Relays 4. Detection Methods in Cooperative Communications 5. Cooperative Wireless Communications with UAVs Use of UAVs in Cooperative Communication Networks 6. Cooperative Wireless Systems Based on Non-Orthogonal Multiple Access (NOMA) Fundamentals of NOMA and its Importance in Cooperative Systems 7. Cognitive Radio Fundamentals of cognitive radio and its Importance in Cooperative Systems 8. SWIPT-Based Cooperative Systems Introduction to Simultaneous Wireless Information and Power Transfer (SWIPT) 9. Optimization in Wireless Systems Overview of Optimization Techniques in Cooperative Wireless Networks fio 10. Group Projects
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Objectives
Objectives
Explain the principles of fundamental cooperative systems (WiMAX, VANET, 4G LTE/LTE-Advanced). Analyze advanced techniques (AF/DF relays, NOMA, cooperative communications with UAVs, cognitive radio, and SWIPT-based systems) and their role in cooperative systems. Simulate detection methods in cooperative communications using MATLAB/Python. Design and optimize wireless networks by integrating SWIPT and optimization methods (including distributed optimization). Articulate architectures, communication techniques, and services to propose low-cost and robust wireless access solutions.
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Teaching methodologies
Teaching methodologies
Classes are expository. The active participation of students in the teaching process is encouraged through questions that stimulate interest about the subject. When appropriate, the presentation of the material is preceded by the study of concrete situations that students are familiar with. Some topics arise from the analysis of problems whose resolution make the concepts to be studied natural and straightforward. The material is always illustrated with examples and counter-examples. Some problems are left for students to analyze and solve. The assessment consists of: - homework done throughout the semester (30%); - final project (70%).
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References
References
M. Dohler, Y. Li, Cooperative Communications: Hardware, Channel and PHY, Wiley, 2010. K. J. R. Liu, A. K. Sadek, W. Su, A. Kwasinski, Cooperative Communications and Networking, Cambridge, 2008. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 6th ed. San Diego, CA: Academic, 2000. M. K. Simon and M.-S. Alouini, Digital Communications Over Fading Channels: A Unified Approach to Performance Analysis. New York: Wiley, 2000. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, UK, 2004 J. Leitão, J. Pereira, and L. Rodrigues, Gossip-based Broadcast, Springer¿s Handbook of Peer-to-Peer Networking, 2009. M. Beko, Efficient Beamforming in Cognitive Radio Multicast Transmission, IEEE Transactions on Wireless Communications, 2012.
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Assessment
Assessment
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
dd-mm-yyyy
30%
Portfolio
dd-mm-yyyy
40%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
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Mobility
Mobility
No





