Papers

Peer-reviewed
Jan 10, 2018

Fine-Grained Incentive Mechanism for Sensing Augmented Spectrum Database

2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
  • Xiaoyan Wang
  • ,
  • Masahiro Umehira
  • ,
  • Peng Li
  • ,
  • Yu Gu
  • ,
  • Yusheng Ji

Volume
2018-
Number
First page
1
Last page
6
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1109/GLOCOM.2017.8254447
Publisher
Institute of Electrical and Electronics Engineers Inc.

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 quasi-static 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.

Link information
DOI
https://doi.org/10.1109/GLOCOM.2017.8254447
ID information
  • DOI : 10.1109/GLOCOM.2017.8254447
  • SCOPUS ID : 85046361187

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