IPNP - IP Networks and Protocols

Transcription

1 Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: ETSETB - Barcelona School of Telecommunications Engineering TSC - Department of Signal Theory and Communications ERASMUS MUNDUS MASTER'S DEGREE IN RESEARCH ON INFORMATION AND COMMUNICATION TECHNOLOGIES (Syllabus 2009). (Teaching unit Optional) DOCTORAL DEGREE IN SIGNAL THEORY AND COMMUNICATIONS (Syllabus 2007). (Teaching unit Optional) 6 Teaching languages: English Teaching staff Coordinator: Others: RAMON FERRÚS RAMON AGUSTÍ, FERRAN CASADEVALL, ORIOL SALLENT, JORDI PÉREZ, ANNA UMBERT Degree competences to which the subject contributes Specific: 1. Ability to implement wired/wireless systems, in both fix and mobile communication environments. 2. Ability to model, design, implement, manage, operate, administrate and maintain networks, services and contents 3. Ability to plan networks and decision-making about services and applications taking into account: quality of service, operational and direct costs, implementation plan, supervision, security processes, scalability and maintenance. Ability to manage and assure the quality during the development process Transversal: 4. EFFECTIVE USE OF INFORMATION RESOURCES: Managing the acquisition, structuring, analysis and display of data and information in the chosen area of specialisation and critically assessing the results obtained. 5. FOREIGN LANGUAGE: Achieving a level of spoken and written proficiency in a foreign language, preferably English, that meets the needs of the profession and the labour market. Teaching methodology - Lectures - Short answer test (Control) - Extended answer test (Final Exam) - Group work (Seminar presentations and report) Learning objectives of the subject Learning objectives of the subject: Increased automation of network operations is central to cope with the rising traffic demand and complexity of network infrastructures and to utilise network deployed resources in an optimised way. Self-organisation and cognitive networking technologies are among the core mechanisms to keep the operational burden at affordable levels and to exploit the resources efficiently in current and forthcoming mobile networks for the pervasive availability of a plethora of IP-centric services. In this context, this subject first addresses a description of IP-based network architectures, functional entities and interfaces, discussing the key elements and operation of the data, control and management planes along with its supporting protocols and standards. Afterwards, network resource management concepts are developed to present 1 / 6

2 network resource management models, optimisation processes (methodologies, monitoring, tools), self-organising networking and cognitive resource management. The contents studied in this subject will help the student, when developing his/her profession, to prepare, design, implement and operate current and next generation IP-based mobile communication networks and cognitive radio systems. Learning results of the subject: - Ability to analyse, model and implement new architectures, network protocols and communication interfaces in next generation mobile networks. - Ability to analyse, model and apply advanced techniques in network resource management and optimisation. - Knowledge of the state-of-art and trends towards self-organisation and cognitive radio and networking technologies. Study load Total learning time: 125h Hours large group: 39h 31.20% Self study: 86h 68.80% 2 / 6

3 Content 1. System and network architecture aspects Learning time: 10h Theory classes: 4h Self study : 6h - ISO/OSI and TCP/IP reference models - Functional entities, reference points/interfaces and protocols of IP-based networks - Data, control and management planes - Network resource management concepts - Examples: Internet, 3GPP networks 2. Supporting protocols and standards Learning time: 50h Theory classes: 15h Self study : 35h - Physical and link layers. Review the limitations and advantages of the different types of physical layers used in IP networks. Explain the tasks of a link level layer (e.g. error correction and retransmission techniques, flow control, segmentation/reassembly, link level resource management, etc.) and give the properties of the most relevant link level layers that support IP (e.g. Ethernet, IEEE , 3GPP). - IP network layer. Explain the design principles of IP network layer and associated functionalities and protocols for routing, mobility (network- and host-based) and Quality of Service (QoS) management (e.g., DiffServ, IntServ, 3GPP QoS model). - Transport and application layers. TCP and SCTP protocols for control and management planes. Diameter protocol and its applicability in 3GPP networks. 3. Network optimisation Learning time: 35h Theory classes: 10h Self study : 25h - Overall framework for network development and optimisation processes.telecommunications Management Network (TMN) and Telecom Operations Map (MAP). Network Management Systems (NMS). - Resource management. Radio resource management. Joint radio and network resource management. - Optimisation process. Network quality cycle. Optimisation methodologies, algorithms and tools. Network monitoring and reporting in optimisation (e.g. key performance indicators). Automation needs. - Case studies: Post-integration, corrective, maintenance, enhancement optimisation actions in practical deployments of 3G networks; Monitoring and algorithms development for coverage optimisation. 3 / 6

4 4. Cognitive resource management Learning time: 30h Theory classes: 10h Self study : 20h - Cognitive radio systems and networks. - Adaptive and self-organising networks (SON). Architectural types and functions. - Cognitive radio and dynamic spectrum access. Spectrum sharing. Models, system architectures and protocols. - Machine learning for cognitive resource management. 5. Seminars Learning time: 25h Group work (distance learning): 22h Guided activities: 3h Presentation and discussion of students' seminar work on topics related to IP networks. Potential subjects include, but are not limited to: -Mobility in IP Networks; -Quality of Service in IP Networks; -Multicast in IP Networks; -Multimedia services over IP Networks; -Virtual Private Networks (VPN) solutions; -Low-power IP networking; -Push-to-Talk over Cellular (PoC) solutions for IP Networks; -Stream Control Transmission Protocol (SCTP); -IP Exchange (IPX); -IP-based communications over satellite. 4 / 6

5 Planning of activities PARTIAL TESTS Partial evaluation tests with theoretical questions and short exercises. FINAL TEST Final examination. SEMINAR PRESENTATIONS AND REPORT Students carry out a report on a topic related to IP networks and a number of class presentations on the selected topic. Qualification system Final examination: from 40% to 60% Partial examinations and controls: from 20% to 40% Individual assessments: from 0% to 10% Presentation and report evaluation: from 10% to 20% 5 / 6

6 Bibliography Basic: Tanenbaum, A.S.; Wetherall, D.J. Computer networks. 5th ed., new int. ed. Harlow: Pearson Education, ISBN Laiho,j.; Wacker, a.; Novosad, T. Radio network planning and optimisation for UMTS. 2nd ed. Chichester: John Wiley & Sons Ltd, ISBN Mahmoud, Qusay H.. Cognitive networks : towards self-aware networks. Chichester: John Wiley & Sons, ISBN Comer, D.E. Internetworking with TCP/IP: vol.1: principles, protocols and architecture. 6th ed. Upper Saddle River: Prentice- Hall International, ISBN (V.1). Complementary: Ramiro, J.; Hamied, K. Self-organizing networks : self-planning, self-optimization and self-healing for GSM, MTS, and LTE [on line]. Chichester, West Sussex ; Hoboken, NJ: John Wiley & Sons, 2012 [Consultation: 03/09/2013]. Available on: < ISBN Hämäläinen, S.; Sanneck, H.; Sartori, C. LTE self-organising networks (SON) : network management automation for operational efficiency [on line]. Hoboken, N.J: John Wiley & Sons, 2012 [Consultation: 03/09/2013]. Available on: < ISBN Pérez-Romero, J.; Sallent, O.; Agustí, R.; Díaz-Guerra, M.A. Radio resource management strategies in UMTS. Chichester: John Wiley & Sons, ISBN Sutton, R.S.; Barto, A.G. Reinforcement learning: an introduction. Cambridge, MA: MIT Press, ISBN / 6