Abstract
In order to improve spectrum sensing performance of multichannel cognitive radio (CR) network, the optimization of periodic cooperative spectrum sensing is investigated. We seek to obtain spectrum efficiency maximization (SEM) and energy efficiency maximization (EEM) of cooperative spectrum sensing through jointly optimizing sensing time, subchannel allocation and transmission power. We have formulated a class of optimization problems and obtained the optimal solutions by alternating direction optimization and Dinkelbach’s optimization. The simulation results have indicated that SEM can achieve higher spectrum efficiency while EEM may get higher energy efficiency.
| Original language | English |
|---|---|
| Title of host publication | Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems |
| Editors | Qilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang |
| Publisher | Springer Verlag |
| Pages | 525-532 |
| Number of pages | 8 |
| ISBN (Print) | 9789811065705 |
| DOIs | |
| State | Published - 2019 |
| Event | 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China Duration: 14 Jul 2017 → 16 Jul 2017 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 463 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 |
|---|---|
| Country/Territory | China |
| City | Harbin |
| Period | 14/07/17 → 16/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cognitive radio
- Cooperative spectrum sensing
- Energy efficiency
- Spectrum efficiency
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