Research Article
An ecology-based adaptive network control scheme for radio resource management in heterogeneous wireless networks
@INPROCEEDINGS{10.1145/1315843.1315885, author={Jie Chen and Kai Yu and Guang Yang and ZhiYong Feng and Yang Ji and Ping Zhang and Qing Huang and Yong Bai and Lan Chen and Masahiro Minomo}, title={An ecology-based adaptive network control scheme for radio resource management in heterogeneous wireless networks}, proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems}, publisher={ACM}, proceedings_a={BIONETICS}, year={2006}, month={12}, keywords={Heterogeneous wireless networks L-V model Mapping relationship Net revenue Radio Resource Management.}, doi={10.1145/1315843.1315885} }- Jie Chen
Kai Yu
Guang Yang
ZhiYong Feng
Yang Ji
Ping Zhang
Qing Huang
Yong Bai
Lan Chen
Masahiro Minomo
Year: 2006
An ecology-based adaptive network control scheme for radio resource management in heterogeneous wireless networks
BIONETICS
ACM
DOI: 10.1145/1315843.1315885
Abstract
The major challenge in future heterogeneous wireless networks is to promote the network welfare by well designing the radio resource management (RRM). Due to the similarity of both the ecological system and the heterogeneous wireless networks on the competitiveness, we propose a novel ecology-based adaptive network control (EBANC) scheme for RRM to optimize the network revenue, which introduces the Lotka-Volterra competition equations (L-V model) to predict the outcome of competitiveness. The proposed EBANC consists of two key algorithms, which are access selection algorithm on the user side and the price control algorithm on the network side. The simulation results exhibit the better performance of the EBANC scheme compared with other existing access selection scheme.
