This paper introduces a spectrum sharing system for Micro Operators (MOs) using the blockchain network. In order to satisfy different network requirements for each service, the license for spectrum access should be dynamically allocated to the required spectrum bandwidth. We propose a spectrum lease contract for MOs to share spectrum with the Mobile Network Operator (MNO) is performed through the blockchain networks. Main reasons for applying the blockchain network to the spectrum sharing system are as follow. First, the blockchain networks share database with all participants. Second, networks have mutual trust among all participants. Third, it needs no central authority. Fourth, automated contract execution and transaction interactions are possible. The blockchain usage in the MO-based spectrum sharing system and the detailed process of spectrum lease contract are proposed. Then, the economic effects of spectrum sharing system for MOs is analyzed. The MO can be profitable by getting involved in the blockchain to take reward for a Proof of Work (PoW) and providing wireless service to its users.
|Title of host publication||Cognitive Radio Oriented Wireless Networks - 13th EAI International Conference, CROWNCOM 2018, Proceedings|
|Editors||Johann Marquez-Barja, Adnan Shahid, Wei Liu, Spilios Giannoulis, Xianjun Jiao, Ingrid Moerman|
|Number of pages||12|
|Publication status||Published - 2019|
|Event||13th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2018 - Ghent, Belgium|
Duration: 2018 Sep 18 → 2018 Sep 20
|Name||Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST|
|Other||13th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2018|
|Period||18/9/18 → 18/9/20|
Bibliographical noteFunding Information:
Acknowledgement. This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2018-0-00923, Scalable Spectrum Sensing for Beyond 5G Communication).
© 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications