Title :
Resource allocation in a heterogeneous wireless network using fuzzy logic
Author :
Taki, Mehrdad ; Heshmati, Milad
Author_Institution :
Univ. of Isfahan, Isfahan, Iran
Abstract :
A new scheduling and link adaptation scheme is designed for a heterogeneous wireless network where a) different links are using the shared media with various throughput requirement based on their applications, b) links have different characteristics, c) various bit error rate constraints are to be considered at the receivers, d) based on the available power supplies different average transmission power constraints are to be met. A fuzzy based scheme with a low complexity is presented which may be implemented in a wide range of networks where channel´s specifications are not available and network structure may be unknown. It is shown that the proposed fuzzy based scheme gives a close performance to analytical approach, however, with substantially lower CSI load and computational cost.
Keywords :
error statistics; fuzzy logic; radio networks; bit error rate constraints; fuzzy logic; heterogeneous wireless network; link adaptation scheme; power supplies; resource allocation; scheduling adaptation scheme; shared media; transmission power constraints; Bit error rate; Joints; Optimal scheduling; Resource management; Signal to noise ratio; Throughput; Wireless communication; Adaptive Modulation and Coding; Fuzzy Logic; Heterogeneous Networks; Resource allocation; Scheduling;
Conference_Titel :
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICTRC.2015.7156436