Title
Context-Aware Group Buying in Ultra-Dense Small Cell Networks: Unity Is Strength
Abstract
The ultra-dense small cell networks (SCNs) have been regarded as a promising technology to solve the data traffic explosion in future. However, the complicated relationships among large scale users and cells practically demand a cooperative grouping mechanism to account for the shortage of resources in SCNs. Then, a group buying market mechanism provides a win-win situation and an effective resource allocation in the view of economics. With additional decision information being provided, the context awareness enhances and improves the group buying mechanism. In this article, we propose a Context-Aware Group Buying (CAGB) mechanism to allocate the resources in ultra-dense SCNs. The feasibility, necessity, and effectiveness of CAGB are analyzed first. Then, we introduce the group buying mechanism and some common context awareness. The relationship between context awareness and group buying is also analyzed. Some important technologies in SCNs are discussed in the view of CAGB, such as load balancing, spectrum management, and cooperative caching. Then, the graphical coalition formation games (CFGs) of CAGB are also presented to match the complicated network topologies in SCNs. Two CAGB-based use cases about spectrum market and cooperative caching are presented. Finally, future research issues about context awareness, grouping mechanism, and buying mechanism are discussed.
Year
DOI
Venue
2019
10.1109/MWC.001.1800012
arXiv: Computer Science and Game Theory
Keywords
Field
DocType
Context-aware services,Resource management,Games,Measurement,Radio spectrum management,Throughput,Microcell networks
Market mechanism,Mathematical optimization,Spectrum management,Load balancing (computing),Context awareness,Network topology,Risk analysis (engineering),Resource allocation,Small cell,Group buying,Mathematics
Journal
Volume
Issue
ISSN
26
6
1536-1284
Citations 
PageRank 
References 
1
0.35
0
Authors
8
Name
Order
Citations
PageRank
Yuli Zhang16012.85
Yuhua Xu285769.31
Alagan Anpalagan31263125.52
Qi-hui Wu41383102.61
Yitao Xu5608.50
Youming Sun610.35
Shuo Feng710216.67
Yunpeng Luo810.35