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representing the intervals between the two consecutive sampling points (from the
time the receiver samples the signal of a code subcell to the next one. Formally,
= a ) (
HLS
=(
X
¬
X
= b ) ,
= a ) (
LHS
=(
¬
X
X
= b ) ,
ρ ) (
HLR
=(
Y
int
1
¬
Y
=1) ,
ρ ) (
LHR
=(
¬
Y
int
1
Y
=1) .
Now, we are ready to formalise the BMP in DC. What we have to do is write
down the encoding function f and the decoding function g . From the informal
description of the protocol, we can define f inductively as follows.
1. f ( )
=(
¬
X
= c )
2. If f ( w )= D (
X
= c ), then
= D HLS (
f ( w 0)
¬
X
= c )
= D HLS (
f ( w 1)
X
= c )
3. If f ( w )= D (
¬
X
= c ), then
f ( w 0) = D LHS ( X∧ = c )
f ( w 1) = D LHS ( ¬X∧ = c )
For example, f (1) = LHS (
= c ), f (10) = LHS LHS (
¬
X
X
=
c ), and f (101) = LHS LHS HLS (
= c ).
Because the decoding function g is a partial function, we have to describe its
domain first, i.e. what kind of DC formulas on the state Y are detected (received)
by the receiver. According to the behaviour of the receiver, first it skips r cycles.
Then it begins to scan for an edge ( HLR or LHR ). When an edge is detected,
it skips d cycles and repeats this procedure until it detects that the transmission
has completed ( Y is stable for more than ρ cycles). Thus, a DC formula D is
received by the receiver iff D is of the form A 0 A 1 ... A n , n
X
1, where
- A 0 =(1
> 0) ( int
( = r
1)))
( )) ( < 1)),
- and either A n =( int
Y
( )) ( < 1))
or A n =( int
∧¬
Y
1either A j = LHR ( = d )or A j = HLR ( = d )
- and if n =1then A n =( int
- and for j =1 ,...,n
( )) ( < 1)) and if n> 1then
A 1 = LHR ( = d ) (since at the beginning the signal is low).
∧¬
Y
Now, the decoding function g can be written as follows. Let D be a formula
received by the receiver.
- If D =(
> 0) ( int
= r
1) (
¬
Y
int ) < 1then
1
g ( D )= .
- Let g ( D ) be defined.
If D = D (
ρ ) < 1then
Y
int
g ( D HLR ( = d ) (
ρ ) < 1) = g ( D )1 , and
Y
int
g ( D HLR ( = d ) (
ρ ) < 1) = g ( D )0 .
¬
Y
int
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