TIIS (한국인터넷정보학회)
Current Result Document : 1 / 4
| 한글제목(Korean Title) |
Resource Allocation with Proportional Rate In Cognitive Wireless Network: An Immune Clonal Optimization Scheme |
| 영문제목(English Title) |
Resource Allocation with Proportional Rate In Cognitive Wireless Network: An Immune Clonal Optimization Scheme |
| 저자(Author) |
ZhengYi Chai
DeXian Zhang
SiFeng Zhu
|
| 원문수록처(Citation) |
VOL 06 NO. 05 PP. 1286 ~ 1302 (2012. 05) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
In this paper, the resource allocation problem with proportional fairness rate in cognitive OFDM-based wireless network is studied. It aims to maximize the total system throughput subject to constraints that include total transmit power for secondary users, maximum tolerable interferences of primary users, bit error rate, and proportional fairness rate among secondary users. It is a nonlinear optimization problem, for which obtaining the optimal solution is known to be NP-hard. An efficient bio-inspired suboptimal algorithm called immune clonal optimization is proposed to solve the resource allocation problem in two steps. That is, subcarriers are firstly allocated to secondary users assuming equal power assignment and then the power allocation is performed with an improved immune clonal algorithm. Suitable immune operators such as matrix encoding and adaptive mutation are designed for resource allocation problem. Simulation results show that the proposed algorithm achieves near-optimal throughput and more satisfying proportional fairness rate among secondary users with lower computational complexity. |
| 키워드(Keyword) |
Immune clonal algorithm
cognitive wireless network
OFDM
proportional fairness rate
resource allocation
subcarrier allocation
power allocation
|
| 파일첨부 |
PDF 다운로드
|
