Bayesian Sequential Learning for Railway Cognitive Radio
Applying cognitive radio in the railway communication systems is a cutting-edge research area. The rapid motion of the train makes the spectrum access of the railway wireless environment instable. To address the issue, first we formulate the spectrum management of railway cognitive radio as a distri...
Main Authors: | Cheng Wang, Yiming Wang, Cheng Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2019-03-01
|
Series: | Promet (Zagreb) |
Subjects: | |
Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/2934 |
Similar Items
-
Cognitive Radio Connectivity for Railway Transportation Networks
by: Gill, Kuldeep S
Published: (2018) -
SACRB-MAC: A High-Capacity MAC Protocol for Cognitive Radio Sensor Networks in Smart Grid
by: Zhutian Yang, et al.
Published: (2016-03-01) -
Technical Issues on Cognitive Radio-Based Internet of Things Systems: A Survey
by: Faroq A. Awin, et al.
Published: (2019-01-01) -
A Contention-Free Reporting Scheme Based MAC Protocol for Cooperative Spectrum Sensing in Cognitive Radio Networks
by: Zong-Heng Wei, et al.
Published: (2018-01-01) -
A DYNAMIC SPECTRUM ACCESS OPTIMIZATION MODEL FOR COGNITIVE RADIO WIRELESS SENSOR NETWORK
by: T V Saroja, et al.
Published: (2017-09-01)