----------------------------------------------- ----Instructor: Huseyin Arslan University of South Florida, Electrical Engineering Dept., 4202 E. Fowler Ave., ENB118, Tampa, Fl, 33620, Office: ENB 361 Tel: (813) 974-3940 e-mail: arslan@eng.usf.edu Instructors research interests and background: Huseyin Arslan has received his PhD. degree in 1998 from Southern Methodist University (SMU), Dallas, Tx. From January 1998 to August 2002, he was with the research group of Ericsson Inc. at RTP, NC. In Ericsson, he was involved with several project related to 2G and 3G wireless cellular communication systems. His research interests are related to advanced signal processing techniques at the physical layer, with cross-layer design for networking adaptivity and Quality of Service (QoS) control. More specifically, he is interested in signal processing techniques for wireless communication systems including modulation and coding, interference cancellation and multi-user signal detection, channel estimation and tracking, equalization, soft information generation, adaptive receiver and transmission technologies etc. He is interested in many forms of wireless technologies including cellular, wireless LAN, Blutooth, fixed wireless access and specialized wireless data network like wireless telemetry, wireless sensors and wireless telemetry. ----------------------------------------------- ----Prerequisite: Basic knowledge of linear circuits and linear system theory, Fourier transforms, essential ideas of probability and random process, and programming skill in MATLAB. Especially, some experience in Matlab programming is essential for the success of this course. ----------------------------------------------- ----GRADING: Midterm exam: 35 Final exam: 40 Homework: 25 Homework policy: Homeworks will be assigned on Mondays, and will be collected one week after at the beginning of the class. Homeworks turned in after Monday will lose %50 credit, with no credit after Wednesday of the same week. NO EXCUSE IS ACCEPTED. Please, do the homeworks individually. Note: All quizzes, tests, exams, etc. MUST be taken during regularly scheduled class or exam times either on campus or with an approved proctor. Any deviation from this policy MUST be pre-approved by the instructor in writing. ----------------------------------------------- ----Course and Office hours: Course Hours: M-W 3:30 to 4:45 pm (ENB228) Office hours: Monday 4:45 to 6:00 pm Wednesday 4:45 to 6:00 pm ----------------------------------------------- ---- BOOKS & REFERENCES Text Book: Title: Communication Systems Engineering (second Edition) Authors: John G. Proakis and Masoud Salehi Publisher: Prentice Hall ISBN: 0-13-061793-8 Also the following along with this book will be extremely useful and required. Contemporary Communications Systems using MATLAB/, John G. Proakis and Masoud Salehi, Brooks/Cole, 2000. (ISBN# 0-534-37173-6) Other reference books: - Simon S. Haykin, Communications Systems 4th edition (May 15, 2000) John Wiley & Sons - R.E. Ziemer and W.H. Tranter, Principles of Communications: Systems, Modulation and Noise. 5th edition. John Wiley, 2002. - B.P. Lathi, Modern Digital and Analog Communication Systems. 3rd edition. Oxford University Press. 1998. - Ferrel Stremler, Introduction to Communication Systems. 3rd edition. Addison Wesely. 1990. - Simon Haykin, An Introduction to Analog and Digital Communications. Wiley. 1989. - A. Bruce Carlson, Communication Systems, (Fourth Edition), McGraw-Hill, 2002. (ISBN# 0-07-011127-8) ----------------------------------------------- ---- OUTCOMES Upon completion of this course, students should have: . The understanding of basic communication system . The knowledge of filtering, sampling, modulation and detection . Ability to apply basic knowledge on Fourier analysis, probability and random process, linear system analysis to solve simple communication problems and for communication system analysis . Ability to use Matlab programming tool for analyzing components of communication systems . Ability to identify, formulate, and solve basic communication problems . To be able to analyze the bandwidth and probability error properties of various modems. ----------------------------------------------- ---- COURSE OBJECTIVE: . Introduction to communication systems . Behavior of various modulation schemes in the noisy environments . Sampling quantization and source coding . Communication system design, trade off between power efficiency, bandwidth efficiency and system complexity . Time domain and frequency domain analysis of communication systems Focus on: - Analog and digital communication systems with more emphasis on digital communications - Basics of communication theory and applications - Application of basic knowledge on probability, Fourier analysis and linear system to analyze communication systems and solve communication problems - A practical approach will be taken along with Matlab experiments Outline of the course: -------------------------------- - Overview of Communication systems - Review of background materials on Fourier analysis, probability and random process - Signals and Spectra, time domain and frequency domain analysis of communication systems - Sampling, quantization and source coding - Baseband pulse and digital signaling - Multiple Access FDMA, TDMA, CDMA - AM, FM, and Digital modulated Systems - Communication system design, trade off between power efficiency, bandwidth efficiency and system complexity - Performance of communication systems corrupted by noise or receivers for disturbed channels model for the channel . guided channels and their characteristics . radio channel . time varying channel model . channel correlation in time and frequency . noise . ISI - Wire and wireless communication systems - Multi-carrier modulation - Spread spectrum communication systems - Overview of advanced topics in communication systems ----------------------------------------------- DETAILED DESCRIPTION -----------------------------------------------