Upload
lguijar
View
218
Download
0
Embed Size (px)
Citation preview
8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
1/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Entry game under opportunistic access in
cognitive radio networks: a priority queue
model
Luis Guijarro1 Vicent Pla1 Bruno Tuffin2
1Universitat Politecnica de Valencia, Spain
2INRIA, France
Wireless Days, Valencia, November 2013
TELPOL92
http://find/http://goback/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
2/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Contents
Model
Analysis
Results and discussion
Conclusions
Guijarro et al. 2/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
3/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Model
Contents
Model
Analysis
Results and discussion
Conclusions
Guijarro et al. 3/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
4/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Model
Scenario
Cognitive radio networks
Primary operator is the incumbent and holds a spectrum
license
Secondary operator is the entrant and does not hold a licenseOpportunistic access
it is granted by the primary operator to the secondary
operator
Secondary operator coordinates access from itssubscribers. They do not cause a significant impact in the
QoS received by primary, apart from failures due to
sensing limitations and delays
Guijarro et al. 4/17
http://find/http://goback/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
5/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Model
Service model
M/M/1 Priority Queue
Primary (resp. secondary)
packets arrive according to
a Poisson process at rate
1 (resp. 2) and arequeued in the priority
(resp. ordinary) queue
Failures in the
opportunistic accessmodeled as
non-preemptive variation
The transmission time of all packets is exponentially distributed
with meanx= 1/Guijarro et al. 5/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
6/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Model
Economic model
Operator icharges a
per-packet pricepi
Primary packets payp1
Secondary packets payp2
Operator is profits
i= ipi=
ixp
i.
Per-packet utility
ui Qi pi
Qi= c T
i
Tiis the mean service time
0<
8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
7/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Model
Game model
Two-stage sequential game. Multi-leader-follower
Second stage: subscription
Given that u
8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
8/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Analysis
Contents
Model
Analysis
Results and discussion
Conclusions
Guijarro et al. 8/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
9/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Analysis
Monopoly
AnM/M/1 queue
Q() = c
x
1
Equilibrium equations
Q() p= 0.
p=
p
xp= 0.
Equilibrium solution
m= 1
1 +
pm= cx
1 +
.
m= cx(1+)
(1 + )1+.
Guijarro et al. 9/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
10/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Analysis
Duopoly
A non-preemptive priorityM/M/1 queue
Q1(1, 2) =c
1+ 21 1
x
Q2(1, 2) =c
1
1(1
(1+ 2))(1 1)(1 (1+ 2))
x
Equilibrium equations
Qi(1, 2) pi= 0 i= 1, 2
ipi
= pi
ix
pi= 0 i= 1, 2
Equilibrium solution
1 =
1
1+
2 =1+ 21 +2
21
1+ 2 41 +4
21+2
21
Alsop1, p2,1,2
Guijarro et al. 10/17
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
11/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Results and discussion
Contents
Model
Analysis
Results and discussion
Conclusions
Guijarro et al. 11/17
E t d t i ti i iti di t k i it d l
http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
12/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Results and discussion
Equilibrium traffic
Facts
1 = m
As increases, the
monopolist, and the primaryoperator, is able to carry lesstraffic. The secondaryoperator carries more traffic.The total traffic decreases
Analysis The entry of the secondary
operator is desirable from anefficiency perspective
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.90
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
m
1
2
1+
2
x= 1 andc= 1
Guijarro et al. 12/17
E t d t i ti i iti di t k i it d l
http://find/http://goforward/http://goforward/http://find/http://goback/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
13/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Results and discussion
Equilibrium profits
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.90
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
m
1
2
1+
2
x= 1 andc= 1
Facts
1 m
As increases, themonopolist, and the primary
operator, obtains less profits.The secondary operatorsprofit increases only up to 0.25
Analysis
The primary operator suffersa decrease in profits when asecondary operator entersthe market
Guijarro et al. 13/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
http://find/http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
14/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Results and discussion
Entry analysis
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.90
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
m
1
2
1+
2
x= 1 andc= 1
Lump sum paymentm
Incentives for primaryoperator 1 + m m
Incentives for secondaryoperator 2 m 0
Or, equivalently, 1 + 2 mFacts
This condition is fulfilled for arange of values of up to 0.65.
Guijarro et al. 14/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
http://find/http://find/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
15/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Results and discussion
Capacity leasing
The incumbent leases capacity
2 to the entrant operator, andkeeps1= 2Modelled as two independentM/M/1 queuesEquilibrium traffic and profits
result in
(1 + 2)x= m
1 + 2 m
Guijarro et al. 15/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
http://goforward/http://find/http://goback/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
16/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Conclusions
Contents
Model
Analysis
Results and discussion
Conclusions
Guijarro et al. 16/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
http://goforward/http://find/http://goback/8/9/2019 Entry game under opportunistic access in cognitive radio networks: a priority queue model
17/17
Entry game under opportunistic access in cognitive radio networks: a priority queue model
Conclusions
1. The economic viability of supporting the secondary
operator service using an opportunistic access to the
spectrum owned by the primary operator has been
assessed.
2. Against the benchmark of the primary operator operating
as a monopolist, we conclude that the entry of thesecondary operator is desirable from an efficiency
perspective, since the carried traffic increases.
3. Additionally, for a range of parameter values, a lump sum
payment can be designed so that the incumbent operator
has an incentive to let the secondary operator enter.
4. The opportunistic access setting has been compared
against a leasing-based alternative, and we have
concluded that the former outperforms the latter.
Guijarro et al. 17/17
http://find/http://goback/