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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.
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