Paper Info
Title
Coalitional game theoretic approach for cooperative transmission in vehicular networks
Abstract
Cooperative transmission in vehicular networks is studied by using coalitional game and pricing in this paper. There are several vehicles and roadside units (RSUs) in the networks. Each vehicle has a desire to transmit with a certain probability, which represents its data burtiness. The RSUs can enhance the vehicles' transmissions by cooperatively relaying the vehicles' data. We consider two kinds of cooperations: cooperation among the vehicles and cooperation between the vehicle and RSU. First, vehicles cooperate to avoid interfering transmissions by scheduling the transmissions of the vehicles in each coalition. Second, a RSU can join some coalition to cooperate the transmissions of the vehicles in that coalition. Moreover, due to the mobility of the vehicles, we introduce the notion of encounter between the vehicle and RSU to indicate the availability of the relay in space. To stimulate the RSU's cooperative relaying for the vehicles, the pricing mechanism is applied. A non-transferable utility (NTU) game is developed to analyze the behaviors of the vehicles and RSUs. The stability of the formulated game is studied. Finally, we present and discuss the numerical results for the 2-vehicle and 2-RSU scenario, and the numerical results verify the theoretical analysis.
Year
DOI
Venue
2013
10.1109/ICC.2013.6655594
ICC
Keywords
DocType
Volume
relay networks (telecommunication),vehicle transmissions,vehicle mobility,road vehicles,radiofrequency interference,cooperative communication,rsu,interfering transmissions,coalitional game theoretic approach,transmissions scheduling,game theory,cooperative transmission,vehicular networks,nontransferable utility game,cooperative relaying,data burtiness,ntu game,roadside units,pricing mechanism,wireless networks,pricing,games,stability analysis
Journal
abs/1302.7195
Issue
ISSN
Citations 
null
1550-3607
5
PageRank 
References 
Authors
0.42
11
4
Name
Order
Citations
PageRank
Tian Zhang1748.74
Wei Chen21711246.70
Zhu Han311215760.71
Zhigang Cao41083123.08