Information Technology Reference
In-Depth Information
We then formulate the database assisted spectrum access problem as a SGUM
game
ʓ
=
(
N
,
{
M
n
}
n
∈
N
,
{
f
n
}
n
∈
N
), where the set of white-space users
N
is the set
of players, the set of vacant channels
M
n
is the set of strategies for each player
n
, and
the social group utility function
f
n
of each user
n
is the payoff function of player
n
.
4.3
Existence of Social-Aware Nash Equilibrium
We next study the existence of SNE of the SGUM game for database assisted spectrum
access. Here we resort to a useful tool of potential game [
5
].
Definition 4.1
A game is called a potential game if it admits a potential function
ʦ
(
a
) such that for every
n
and
a
−
n
∈
i
=
n
M
i
, for any
a
n
,
a
n
∈
M
n
,
∈
N
f
n
(
a
n
,
a
−
n
)
ʦ
(
a
n
,
a
−
n
)
−
f
n
(
a
n
,
a
−
n
)
=
−
ʦ
(
a
n
,
a
−
n
)
.
(4.4)
An appealing property of the potential game is that it always admits a Nash equilib-
rium, and any strategy profile that maximizes the potential function
ʦ
(
a
) is a Nash
equilibrium [
5
].
For the SGUM game
ʓ
for database assisted spectrum access, we can show
that it is a potential game. For ease of exposition, we first introduce the
physical-
social graph
sp
sp
to capture both physical coupling and social coupling
simultaneously. Here the vertex set is the same as the user set
G
={
N
,
E
}
N
and the edge set
(
n
,
m
):
e
s
nm
e
nm
where
e
s
nm
sp
e
nm
·
is given as
E
={
≡
=
1,
∀
n
,
m
∈
N
}
=
1
if and only if users
n
and
m
have social tie between each other (i.e.,
e
nm
=
1)
and can also generate interference to each other (i.e.,
e
nm
1). We denote the
set of users that have social ties and can also generate interference to user
n
as
N
=
sp
n
m
:
e
s
nm
=
.
Based on the physical-social graph
={
1,
∀
m
∈
N
}
sp
, we show in Theorem
4.1
that the SGUM
game
ʓ
is a potential game with the following potential function
G
N
N
1
2
P
m
d
−
ʱ
ˉ
a
n
ʦ
(
a
)
=−
mn
I
{
a
n
=
a
m
}
−
p
n
n
=
1
n
=
1
m
∈
N
ʦ
1
(
a
):
due to physical coupling
N
1
2
s
nm
P
m
d
−
ʱ
−
mn
I
{
a
n
=
a
m
}
.
(4.5)
sp
n
n
=
1
m
∈
N
ʦ
2
(
a
):
due to social coupling
The potential function in (
4.5
) can be decomposed into two parts:
ʦ
1
(
a
) and
ʦ
2
(
a
).
The first part
ʦ
1
(
a
) reflects the weighted system-wide interference level (including
background noise) due to physical coupling in the physical domain and the second
part
ʦ
2
(
a
) captures the interdependence of user utilities due to social coupling in the
social domain.