An improved resource allocation method based on convex optimization in centralized wireless network

Authors:
Junhui Zhao;Ximei Chen;Junyou Luo;Dongming Wang
Affiliations:
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China and National Mobile Communication Research Lab, Southeast University, Nanjing, China;Faculty of Information Technology, Macao University of Science and Technology, Macao, China;Faculty of Information Technology, Macao University of Science and Technology, Macao, China;National Mobile Communication Research Lab, Southeast University, Nanjing, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 6
Cited 0

Convex Optimization

Convex Optimization
Throughput-oriented MAC for mobile ad hoc networks: A game-theoretic approach

Ad Hoc Networks
Balancing transport and physical Layers in wireless multihop networks: jointly optimal congestion control and power control

IEEE Journal on Selected Areas in Communications
Distributed interference compensation for wireless networks

IEEE Journal on Selected Areas in Communications
Joint optimization of relay strategies and resource allocations in cooperative cellular networks

IEEE Journal on Selected Areas in Communications
Grouping and partner selection in cooperative wireless networks

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

A utility function that reflects the total channel utility rate is formulated based on the interference complementary under the centralized singular channel wireless networks. Furthermore the target is transformed into a constrained convex optimization, and the optimization problem achieves the efficient resource allocation under interior-point method. Simulation results show that the proposed method achieves better accuracy and less iteration time than genetic algorithm.