TAILIEUCHUNG - Lesson Communication systems simulation - I

Lesson present content: first we study what simulation methods are available; use of the monte carlo method is investigated more thoroughly; then we study the structure of communication systems and discuss their simulations. | CENTRE FOR WIRELESS COMMUNICATIONS University of Oulu . Box 4500 Fl-90014 University of Oulu Finland Tel. 358 8 553 1011 Fax. 3588 553 2845 cwcinfo@ Introduction Communication Systems Simulation - I Harri Saarnisaari Part of Simulations and Tools for Telecommunication Course First we study what simulation methods are available - Use of the Monte Carlo method is investigated more thoroughly Then we study the structure of communication systems and discuss their simulations - What parts can be found in communication systems - What is simulated in different parts 2 Simulation methods Monte Carlo method Monte Carlo MC method - Repeated random trials Quasianalytical QA method or semianalytical - Average signal . bit symbol decisions is obtained by passing a noiseless signal through the system Simulation part of QA - Average is then used to obtain the result via analytical tools Assumed noise statistics is used Analytical part of QA - May be also mixed with the MC method Also other less used techniques exits Only the MC method will be discussed hereafter - Although QA is also useful Communication signals are random - Random data random channel coefficient random noise thermal noise environmental noise random delay random carrier frequency error . Therefore a single realization does not explain the whole story - It may even yield to misleading conclusions . you send in a simulator a bit through a bad channel and receive it correctly and then claim that BER is 0 although it really is after serious simulations Several realizations are needed to see the average behavior In the MC method the same experimental is repeated several times such that random phenomena in the process are modeled as random variables and generated again and again using random number generators RNGs 1 Monte Carlo method Monte Carlo methods Basically one measures how many times the trial succeeds and how many times not - . the probability of success is calculated One is also .

• Kĩ thuật Viễn thông
• Communication systems simulation I
• Monte carlo method
• Investigated more thoroughly
• Communication systems
• Discuss their simulations