Title
Fine-Grained Incentive Mechanism for Sensing Augmented Spectrum Database.
Abstract
To improve the spectrum utilization efficiency, radio propagation model based spectrum database is widely investigated recently. However, it is prone to offer inaccurate and stale spectrum availability since the empirical models do not count for local environment details. One promising solution is to incorporate real-time spectrum measurement into the quasistatic spectrum database. In this paper, we propose a novel fine-grained incentive mechanism for sensing augmented spectrum database. We first present a reverse auction framework, which minimizes the operator's total expenditure subject to the quality requirement of each spot that needs to be augmented. Then we propose a practical incentive mechanism to solve the auction problem, which is proven to be truthful, individual rational and computationally efficient. Simulation results demonstrate that the proposed mechanism could save noticeable expenditure compared to two baseline schemes.
Year
Venue
Field
2017
IEEE Global Communications Conference
Empirical modelling,Incentive,Radio propagation model,Computer science,Interpolation,Operator (computer programming),Reverse auction,Spectrum availability,Mobile telephony,Database
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiaoyan Wang18921.21
masahiro umehira27125.98
Peng Li319624.77
Yu Gu412810.99
Yusheng Ji51459162.16