TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Novel Prediction-based Spectrum Allocation Mechanism for Mobile Cognitive Radio Networks |
| 영문제목(English Title) |
A Novel Prediction-based Spectrum Allocation Mechanism for Mobile Cognitive Radio Networks |
| 저자(Author) |
Yao Wang
Zhongzhao Zhang
Qiyue Yu
Jiamei Chen
|
| 원문수록처(Citation) |
VOL 07 NO. 09 PP. 2101 ~ 2119 (2013. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The spectrum allocation is an attractive issue for mobile cognitive radio (CR) network. However, the time-varying characteristic of the spectrum allocation is not fully investigated. Thus, this paper originally deduces the probabilities of spectrum availability and interference constrain in theory under the mobile environment. Then, we propose a prediction mechanism of the time-varying available spectrum lists and the dynamic interference topologies. By considering the node mobility and primary users’ (PUs’) activity, the mechanism is capable of overcoming the static shortcomings of traditional model. Based on the mechanism, two prediction-based spectrum allocation algorithms, prediction greedy algorithm (PGA) and prediction fairness algorithm (PFA), are presented to enhance the spectrum utilization and improve the fairness. Moreover, new utility functions are redefined to measure the
effectiveness of different schemes in the mobile CR network. Simulation results show that PGA gets more average effective spectrums than the traditional schemes, when the mean idle time of PUs is high. And PFA could achieve good system fairness performance, especially when the speeds of cognitive nodes are high. |
| 키워드(Keyword) |
Cognitive radio
spectrum allocation
prediction
mobility
graph theory
PUs’ activity
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| 파일첨부 |
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