Paper Info
Title
Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis
Abstract
Mobile data traffic is experiencing unprecedented increases due to the proliferation of highly capable smartphones, laptops and tablets, and mobile data offloading can be used to move traffic from cellular networks to other wireless infrastructures such as small-cell base stations. This work addresses the related issue of data allocation, by proposing a novel infrastructure independent method based on the hotspot function of smartphones. In the proposed scheme, smartphones transfer data allowances among mobile users, so that users with excess data allowances act as accessible Wi-Fi hotspots, selling their data allowance to other users who need extra data allowances. To achieve this objective, we propose to use auctions with single and multiple data sellers. Efficient schemes based on auction models are discussed to sell the data allowances over successive days in a month, and over different time slots during a single day. Overall system performance is considered based on the behavior of mobile users, such as changing demands for the sale or purchase of data allowances. Together with the analytical results presented, our simulation experiments also indicate that knowledge of user behavior can significantly improve the performance of data allowance transactions, leading to highly efficient allocations among users.
Year
DOI
Venue
2020
10.1109/TMC.2019.2903178
IEEE Transactions on Mobile Computing
Keywords
DocType
Volume
Resource management,Data models,Wireless fidelity,Smart phones,Base stations,Mobile computing,Analytical models
Journal
19
Issue
ISSN
Citations 
5
1536-1233
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jun Du141938.07
Erol Gelenbe24948893.77
Chunxiao Jiang32064161.92
Zhu Han411215760.71
Yong Ren5104499.99