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EE 6332, Spring, 2017 Wireless Telecommunication

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Presentation on theme: "EE 6332, Spring, 2017 Wireless Telecommunication"— Presentation transcript:

1 EE 6332, Spring, 2017 Wireless Telecommunication
                                                            Zhu Han Department of Electrical and Computer Engineering Class 17 Mar. 27th, 2017

2 Outline BER Performance AWGN Channel Fading Channel Chapter 6.1 AWGN
ECE 6331, Spring 2009 2

3 Baseline: Stationary Channel
BPSK modulation y: the received signal x: the transmitted signal with amplitude a w: white noise with power N0

4 Bit Error Probability d(i) gTx(t) gRx(t) Noise na(t) We assume:
binary transmission with transmission system fulfills 1st Nyquist criterion noise , independent of data source Probability density function (pdf) of Mean and variance

5 Conditional pdfs The transmission system induces two conditional pdfs depending on if if

6 Example of samples of matched filter output for some bandpass modulation schemes

7 Figure 5.8 Illustrating the partitioning of the observation space into decision regions for the case when N  2 and M  4; it is assumed that the M transmitted symbols are equally likely.

8 Probability of wrong decisions
Placing a threshold Probability of wrong decision When we define and as equal a-priori probabilities of and we will get the bit error probability s

9 Conditions for illustrative solution
With  and  equivalently with  substituting for

10 Special Case: Gaussian distributed noise
Motivation: many independent interferers central limit theorem Gaussian distribution é ù 2 1 ê 2 - ú = - ò P 1 e 2 s 2 d ê N b ú 2 2 p s ë ê N ú û no closed solution Definition of Error Function and Error Function Complement

11 Error function and its complement
function y = Q(x) y = 0.5*erfc(x/sqrt(2)); -3 -2 -1 1 2 3 -1.5 -0.5 0.5 1.5 2.5 erf(x) erfc(x) erf(x), erfc(x) x

12 Bit error rate with error function complement
Expressions with and antipodal: unipolar Q function

13 Bit error rate for unipolar and antipodal transmission
BER vs. SNR theoretical 10 -1 simulation unipolar 10 -2 BER antipodal 10 -3 10 -4 -2 2 4 6 8 10

14 Assume h is Gaussian random:
Flat Fading Channel Assume h is Gaussian random: BPSK: Conditional on h, 6.154, 6.155 Averaged over h, which follows chi-square distribution at high SNR.

15 Effects of Fading Other modulation 15

16 Simulation of Fading and Multipath
16

17 Irreducible Bit Error Rate due to multipath
Error floor 17

18 Irreducible BER due to fading
18

19 Irreducible BER due to fading
19

20 BER due to fading & multipath
20

21 Homework 4 5.4, 5.5,5.9, 5.17,5.18, 6.1, 6.12, 6.16 Due 4/10 ECE6331 Spring 2009


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