A grass-root based radio environment data collections in user participation for improving frequency utilization of cognitive radio and heterogeneous networks
2015 International Conference on Computing, Networking and Communications (ICNC) (2015)
Garden Grove, CA, USA
Feb. 16, 2015 to Feb. 19, 2015
Yun Li , The University of Tokyo, Japan
Large-scale radio environment data can provide good reference knowledge for self-organization based wireless networks, such as cognitive radio as well as heterogeneous network. However, it is usually difficult to obtain the data of real spectrum usage due to the constrains of radio monitor capability and cost. In this sense, we believe grass-root based spectrum data collection is important. In this paper, we propose a grass-root based spectrum database architecture by encouraging network users to monitor radio environment data and share it with the database through integrating cognitive radio network as well as heterogeneous network. We apply coalitional game to formulate the cooperation among autonomous network users and design an effective algorithm to improve individual benefit of the users in the game. The details of game property is analyzed, and the algorithm can yield stable partition of coalition for network users, through which each user can obtain improved benefit. Simulations have been performed to demonstrate the advantage of the proposal. The proposed spectrum data collection in user participation is expected to enhance radio frequency optimization for self-organization based wireless networks.
Games, Computer architecture, Databases, Microprocessors, Resource management, Data collection, Partitioning algorithms
Yun Li, "A grass-root based radio environment data collections in user participation for improving frequency utilization of cognitive radio and heterogeneous networks", 2015 International Conference on Computing, Networking and Communications (ICNC), vol. 00, no. , pp. 482-486, 2015, doi:10.1109/ICCNC.2015.7069391