Name
Abstract | ||
|---|---|---|
Wireless technology has enabled the development of increasingly diverse applications and devices resulting in an exponential growth in usage and services. These advancements made the radio frequency spectrum a scarce resource, and consequently, its efficient use is of the ultimate importance. To cope with the growing demand, network design focused on increasing the spectral efficiency by making use of advancement in Cognitive Radio technology. Cognitive Radio can reduce the spectrum shortage problem by enabling unlicensed users equipped with Cognitive Radios to reuse and share the licensed spectrum bands. Using the fact that a Cognitive Radio is capable of sensing the environmental conditions and automatically adapting its operating parameters in order to enhance network performance, we would like to make use of its knowledge to predict the mobility of Cognitive Radio users to improve the overall performance of the Cognitive Radio network. This study makes novel use of mobility prediction techniques to enhance reliability, bandwidth efficiency and scalability of the cognitive radio networks. Firstly, prediction techniques are evaluated and compared for prediction accuracy. Secondly, routing protocol reliability, efficiency and scalability performances are evaluated under different prediction techniques. Simulation results verify the performance improvements even with moderate accuracy predictors. Results clearly show that hybrid Markov CDF prediction performs the best. When compared with no prediction it significantly improves average reliability and efficiency by 11% and 8%, respectively. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/WTS.2010.5479659 | WTS |
Keywords | Field | DocType |
prediction accuracy,prediction technique,cognitive radio,hybrid markov cdf prediction,cognitive radio user,cognitive radio network,different prediction technique,mobility prediction technique,cognitive radios,cognitive radio technology,reliability,scalability,accuracy,government,ad hoc networks,exponential growth,radio frequency,cdf,spectrum,routing protocols,spectral efficiency,cognitive radio networks,base stations,routing protocol,markov,network performance,history,bandwidth efficiency,chromium,mobile communication,network design,markov processes,bandwidth,computer networks,radio frequency spectrum,performance | Base station,Mobile radio,Wireless,Computer science,Computer network,Real-time computing,Spectral efficiency,Radio spectrum,Network performance,Cognitive radio,Scalability | Conference |
ISSN | ISBN | Citations |
1934-5070 | 978-1-4244-6558-3 | 8 |
PageRank | References | Authors |
0.90 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ismail Butun | 1 | 292 | 15.25 |
| A. Çğatay Talay | 2 | 8 | 0.90 |
| D. Turgay Altilar | 3 | 116 | 11.61 |
| Murad Khalid | 4 | 143 | 8.76 |
| Ravi Sankar | 5 | 656 | 55.66 |