Aadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels
- Xiaorong Xu, Aiping Huang, Jianrong Bao, Hangguan Shan
- Corresponding Author
- Xiaorong Xu
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.211How to use a DOI?
- Cognitive Radio Network, Adaptive subcarrier allocation, Fading channels, Subcarrier efficiency function, Rate adaptive criterion, Computational complexity
- In Cognitive Radio Network (CRN), where Primary User (PU) and multiple Secondary Users (SUs) wish to communicate with their corresponding receivers simultaneously over fading channels, spectrum utilization and efficient resource allocation are both significant points for CRN. Interference between PU and SUs should be eliminated in order to realize spectrum sharing. Multi-user resource allocation with the target of maximizing the spectral efficiency of SUs and satisfying the proportional rate constraint between SUs are proposed under the conditions of total SU interference constraint. An adaptive low-complexity suboptimal algorithm for subcarrier and power joint allocation is presented based on Rate Adaptive (RA) criterion, where adaptive subcarrier allocation is performed by assuming equal power distribution, while each subcarrier is assigned in accordance with subcarrier efficiency function. Moreover, linear water-filling algorithm for power allocation is applied within each subcarrier. Simulation results indicate that, with the proposed adaptive subcarrier allocation, spectral efficiency of multiple SUs is superior to traditional subcarrier power joint allocation algorithm. Low computational complexity and adaptive features make it available for implementation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaorong Xu AU - Aiping Huang AU - Jianrong Bao AU - Hangguan Shan PY - 2013/04 DA - 2013/04 TI - Aadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels BT - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) PB - Atlantis Press UR - https://doi.org/10.2991/icsem.2013.211 DO - https://doi.org/10.2991/icsem.2013.211 ID - Xu2013/04 ER -