© The Institution of Engineering and Technology
To balance the traffic in high-speed collaborative transmission, the static rate allocation problem over heterogeneous wireless access networks is formulated in a weighted bargaining game framework, where the heterogeneity of transmission capability of different networks is taken into account. The weights in the framework, which are used to describe the bargaining power of the bargaining game, are determined by the available bit rates of different networks. With the maximised throughput gain as the optimal objective, the closed form of the Nash bargaining solution is derived with the Lagrange multipliers method. Simulation results demonstrate that the presented framework is more efficient with completely balanced traffic so as to make full use of the heterogeneous network resource and prevent network saturation as much as possible.
References
-
-
1)
-
T. Alpcan ,
J.P. Singh ,
T. Basar
.
Robust rate control for heterogeneous network access in multihomed environments.
IEEE Trans. Mobile Comput.
,
8 ,
41 -
51
-
2)
-
A. Muthoo
.
(1999)
Bargaining theory with applications.
-
3)
-
X. Gelabert ,
J. Perez-Romero ,
O. Sallent ,
R. Agusti
.
A Markovian approach to radio access technology selection in heterogeneous multiaccess/multiservice wireless networks.
IEEE Trans. Mobile Comput.
,
7 ,
1257 -
1270
-
4)
-
L. Giupponi ,
R. Agusti ,
R.J. Perez ,
R.O. Sallent
.
A novel approach for joint radio resource management based on fuzzy neural methodology.
IEEE Trans. Veh. Technol.
,
57 ,
1789 -
1805
-
5)
-
H. Yaiche ,
R.R. Mazumdar
.
A game theoretic framework for bandwidth allocation and pricing in broadband networks.
IEEE/ACM Trans. Netw.
,
8 ,
667 -
678
-
6)
-
E. Rasmusen
.
(2007)
Game and information- an introduction to game theory.
-
7)
-
C. Touati ,
E. Altman ,
J. Galtier
.
Generalized Nash bargaining solution for bandwidth allocation.
Comput. Netw.
,
50 ,
3242 -
3263
-
8)
-
D.G. Luenberger
.
(1989)
Linear and nonlinear programming.
-
9)
-
S. Jayaweera ,
M. Bkassiny ,
K. Avery
.
Symmetric cooperative communications based spectrum leasing via auctions in cognitive radio networks.
IEEE Trans. Wirel. Commun.
,
8 ,
2716 -
2724
-
10)
-
J. Nash
.
The bargaining problem.
Econometrica
,
155 -
162
-
11)
-
X.Q. Zhu ,
P. Agrawal ,
J.P. Singh ,
T. Alpcan ,
B. Girod
.
Distributed rate allocation policies for multihomed video streaming over heterogeneous access networks.
IEEE Trans. Multimed.
,
11 ,
752 -
764
-
12)
-
H. Son ,
S. Lee ,
S.C. Kim ,
Y.S. Shin
.
Soft load balancing over heterogeneous wireless networks.
IEEE Trans. Veh. Technol.
,
57 ,
2632 -
2638
-
13)
-
Niyato, D., Hossain, E.: `A cooperative game framework for bandwidth allocation in 4G heterogeneous wireless networks', Proc. IEEE Int' Conf. Comm. Istanbul, June 2006, p. 4357–4362.
-
14)
-
Chebrolu, K., Rao, R.: `Communication using multiple wireless interfaces', IEEE Wireless Communications and Networking Conference, March 2002, Orlando, FL, USA, p. 327–331.
-
15)
-
P. Dubey
.
Inefficiency of Nash equilibria.
Math. Oper. Res.
,
1 ,
1 -
8
-
16)
-
Grosu, D., Chronopoulos, A.T., Leung, M.Y.: `Load balancing in distributed systems: an approach using cooperative games', Proc. Int. Parallel and Distributed Processing Symp., Ft, April 2002, Lauderdale, FL, USA, p. 52–61.
-
17)
-
A. Mohamed ,
H. Alnuweiri
.
Cross-layer distributed approach for optimal rate allocation for homogeneous wireless multicast.
IET Commun.
,
5 ,
838 -
845
-
18)
-
D. Niyato ,
E. Hossain
.
A noncooperative game-theoretic framework for radio resource management in 4 G heterogeneous wireless access networks.
IEEE Trans. Mobile Comput.
,
3 ,
332 -
345
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2010.0767
Related content
content/journals/10.1049/iet-com.2010.0767
pub_keyword,iet_inspecKeyword,pub_concept
6
6