[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-962044","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Foundations of Wireless Communications\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          6\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemestre calendaire :\n          Semestre 1\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                    \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EInformation theory, Linear Algebra, Estimation Theory, Probability Theory, Optimization tools\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003ECourse Outline\u003Cbr\u003E\nPart I: Single antenna Systems\u0026nbsp;\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EOverview of deterministic signals: Signals as vectors, geometry of linear spaces, expansions and transforms, etc.\u003C\/li\u003E\n\u003Cli\u003EDigital modulations: Linear modulations, constant envelop modulations, mapping.\u003C\/li\u003E\n\u003Cli\u003EDetection and equalization in single-carrier systems: Maximum Likelihood Sequence Estimation for linear AWGN channels. Sub-optimal equalization: Linear equalization (ZF, MMSE), Decision-Feedback Equalization (DFE), Decision-Feedback Sequence Estimation (DFSE).\u003C\/li\u003E\n\u003Cli\u003EDigital communications through fading (multipath) channels: The concept of diversity (frequency, time and spatial diversity), performance analysis.\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003EPart II\u0026nbsp;: Multi-antenna systems\u0026nbsp;\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003ECapacity and outage of wireless channels\u003C\/li\u003E\n\u003Cli\u003EDiversity and multiplexing, space-time codes\u003C\/li\u003E\n\u003Cli\u003EReceiver architecture: maximum likelihood detection, linear detection, successive interference cancellation (SIC)\u003C\/li\u003E\n\u003Cli\u003EMultiple access channel (uplink) : capacity region, SIC\u003C\/li\u003E\n\u003Cli\u003EBroadcast channel (downlink) : capacity region, dirty paper coding, beamforming\u003C\/li\u003E\n\u003Cli\u003EOther networks: interference channels, relay channels, network MIMO, massive MIMO.\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003E-Part III: Multiple Access Techniques\u0026nbsp;\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EOverview of multiple access techniques (TDMA, OFDMA, NOMA, etc.)\u0026nbsp;\u003C\/li\u003E\n\u003Cli\u003EDesign and challenges of Power control in wireless networks\u0026nbsp;\u003C\/li\u003E\n\u003Cli\u003EScheduling in wireless networks: fundamental limits for fixed and time varying traffic, throughput optimal scheduling and max weight policy, scheduling with delay and fairness constraints, open problems\u003C\/li\u003E\n\u003Cli\u003EOptimal beamforming allocation in MIMO systems under various QoS constraint, examples in 4G and 5G systems.\u0026nbsp;\u003C\/li\u003E\n\u003Cli\u003EJoint scheduling, radio resource optimization (power, frequency) and beamforming optimization. Theory limitation, application in current wireless systems, and open problems.\u003C\/li\u003E\n\u003C\/ul\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThis course is composed of three parts\u0026nbsp;: communication theory of single antenna systems, multiple antenna theory and design, and performance optimization of communication systems. The first part of this course aims at providing students with a sound knowledge of modulation theory and reception theory, while the second part introduces the information theory for multi antennas systems in wireless networks. The objective is to study the fundamental limits of single and multi-antennas communications in a multi-user environment with fading and noise, as well as the corresponding communication strategies. The last part focuses on\u0026nbsp;understanding multiuser access techniques and intelligent control of information over the networks. It deals with design and optimization of multiple access techniques, radio resource management (power control, frequency allocation, beamforming design and allocation, etc.), and user scheduling in multi-user scenarios. Recent research topics that enable the evolution of wireless systems will be covered in this course as well.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThe course is composed of 16 lectures (48h) and 4 lab sessions (12h), covering main aspects of single user and multiuser communication systems, ranging from digital modulation to optimized design of multiplexing techniques and multiantenna systems, as well as optimization of radio resources under various Quality of Service (QoS) constraints.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E[1] PROAKIS, J., Digital Communications, McGraw-Hill, 2000\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E[2] HAYKIN, S., Communication Systems, Wiley, 2002\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E[3] TSE, D., VISWANATH, P., Fundamentals of Wireless Communications, Cambridge University Press, 2005.\u003C\/p\u003E\n\u003Cp\u003E[4]\u0026nbsp;S. Stanczak, M. Wiczanowski and H. Boche, Fundamentals of Resource Allocation in Wireless Networks, Second edition, Springer 2009.\u003C\/p\u003E\n\u003Cp\u003E[5]\u0026nbsp;Michael Neely, Stochastic Network Optimization with Application to Communication and Queueing Systems, Morgan \u0026amp; Claypool Publishers\u003C\/p\u003E\n\u003Cp\u003E[6]\u0026nbsp;Vincent K. N. Lau and Yu Kwong Ricky Kwok, Channel-Adaptive Technologies and Cross-Layer Designs for Wireless Systems with Multiple Antennas, Wiley, 2006,\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003E[7]\u0026nbsp;F. Kelly, Reversibility and Stochastic Networks, Cambridge Mathematical Library\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]