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Wireless Data Communications

Spring 2016

Lecture 1

introduction to communication systems, wireless communications, channel models

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Lecture 2

entropy, mutual function, source coding

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Lecture 3

lossless source coding, Huffman source coding, Lempel-Ziv source coding

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Lecture 4

discrete memoryless channels, channel capacity

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Lecture 5

block codes, repetition coding, maximum likelihood decoding, vector space

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Lecture 6

binary vector space, linear block codes

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Lecture 7

generator matrix, systematic linear block codes, parity check matrix, Hamming codes

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Lecture 8

decoding linear block codes, error detection, error correction, maximum likelihood decoding

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Lecture 9

distance properties of linear block codes, convolutional codes

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Lecture 10

state transition diagram, transfer function

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Lecture 11

decoding convolutional codes, Viterbi algorithm

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Lecture 12

performance bounds, modulation, Gray mapping, PAM

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Lecture 13

PSK, QAM, FSK, geometric representation of waveforms, demodulation, receiver design

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Lecture 14

matched filer demodulation

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Lecture 15

maximum likelihood detection

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Lecture 16

wireless communication systems, fading, outage 

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Lecture 17

diversity, diversity gain, TDMA, FDMA, CDMA, SDMA, MIMO systems, MIMO capacity

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Lecture 18

MIMO capacity, open-loop MIMO, closed-loop MIMO

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Lecture 19

power allocation, water-filling algorithm, asymptotic behavior of capacity

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Lecture 20

MIMO capacity scaling, transmission design, space-time codes, BLAST, interference cancellation

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Lecture 21

successive interference cancellation, zero-forcing, MMSE

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Lecture 22

MMSE precoding, multi-user channels, broadcast, MAC

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Lecture 23

MAC capacity, broadcast channel capacity, superposition, multiuser MIMO

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