Broadband Wireless Communication Systems
Lecture 2. Statistical Multipath
Channel Model
Digital Communications Lab.
Fading channel
Digital Communications Lab.
Fading channel
Large-scale fading
Average signal power attenuation due to motion over large ar

Special Topics in Communication Systems
Week 2. Review on Random
Process (2)
Digital Communications Lab.
Specification of Random Processes
The probability distribution for random vectors
PX ( F ) P( X1 ( F ) Pcfw_ | X( ) F
P(cfw_ | ( X 0 ( ),
, X k 1 (

Broadband Wireless Communication Systems
Week 6-2. Adaptive modulation
and coding
Digital Communications Lab.
Adaptive Modulation
Variable-rate variable-power MQAM system
Shannon capacity places no restriction on the complexity or delay of
the multiplexe

Special Topics in Communication Systems
Week 1. Review on Random
Process (1)
Digital Communications Lab.
Set Theory and Set Operations
Set
Group or collection of the elements
Point set : a set with only one element
Empty set : a set with no element
S

Broadband Wireless Communication Systems
Week 4-2. Digital transmission over
wireless channels
Digital Communications Lab.
Signal space
Consider a set of signals (waveforms) cfw_xi(t) defined on [0,T]
Inner product
T
Norm
x1 (t ), x2 (t ) x1 (t ) x2* (t

Special Topics in Communication Systems
Week 3. Review on Random
Process (3)
Digital Communications Lab.
Linear System
In general, a system L is a mapping of an input time function x=cfw_x(t);
tI into output function L(x)=y=cfw_y(t); tI
The system is ca

Broadband Wireless Communication Systems
Lecture 3. Background on
Information Theory
Digital Communications Lab.
Background of information theory
Entropy
A measure of the uncertainty of a random variable.
Def. Entropy :
The entropy of a discrete rando

Broadband Wireless Communication Systems
Week 7. Capacity with CSIR and
one-bit feedback
Digital Communications Lab.
Channel and System Model
Scenarios for the knowledge of the channel side
information (CSI)
Channel distribution information (CDI)
The d

Broadband Wireless Communication Systems
Week 6-1. Wireless Channel
Capacity
Digital Communications Lab.
Capacity of AWGN Channel
Differential entropy
For a continuous random variable X,
h X
f x log f x dx
Theorem
For a given variance, differential en

Broadband Wireless Communication Systems
Lecture 9. Frequency Selective
Channel and OFDM Principle
Digital Communications Lab.
Signal design for band-limited channels
Low-pass equivalent model
t kT 0
GR ( f )
H( f )
y (t )
r (t )
s(t ) I n gT (t nT )
n(t

Broadband Wireless Communication Systems
Lecture 8. MIMO channel capacity and
ST receivers
Digital Communications Lab.
MIMO channel capacity
SISO channel
h ~ CN (0,1) : A zero-mean complex Gaussian noise with variance 1.0.
SISO channel
y(t ) hx(t ) n(t

Broadband Wireless Communication Systems
Lecture 1. Wireless Channels,
Pathloss, and Shadowing
Digital Communications Lab.
Channel Characteristic
Wireless channel
Using Antenna (>0.1l)
1MHz 0.1l=30m
Transmission modes
Ground wave
As waveguided for VL