Title :
Service-Aware Optimal Spectrum Sharing Algorithm in Heterogeneous Wireless Networks
Author :
Mei, Jingqing ; Ho, Pin-Han ; Ji, Hong ; Li, Yi ; Wang, Xiao Yu
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Due to the heterogeneity and versatility of emerging services and applications in wireless networks, it has been a great challenge on improving the network utility by taking advantage of the spatial and temporal diversity of radio resource consumption. This paper is committed to solving this problem by introducing a service-aware spectrum sharing algorithm (SSA) in a joint radio resource management (JRRM) architecture, where a spectrum pool is adopted for leisure spectrum resource management in heterogeneous wireless networks. Based on an objective utility function, the JRRM unit could optimize the spectrum scheduling decisions for the composing networks with awareness of the related supporting services. Moreover, to facilitate a precise decision process, we illustrate an transmission rate requirement prediction model (TRPM) that is adaptive to the system condition variants to forecast service requests. Experiment results show that the proposed SSA can solidly enhance the system performance in terms of radio resource usage ratio, system throughput, user service access ratio, and eventually achieve better network utility.
Keywords :
diversity reception; radio networks; radio spectrum management; resource allocation; heterogeneous wireless network; joint radio resource management architecture; network utility; objective utility function; radio resource consumption; radio resource usage ratio; service request forecasting; service-aware optimal spectrum sharing algorithm; service-aware spectrum sharing algorithm; spatial diversity; spectrum pool; system throughput; temporal diversity; transmission rate requirement prediction model; user service access ratio; Adaptive systems; Application software; Communications Society; Predictive models; Resource management; Scheduling; System performance; Utility programs; Wireless communication; Wireless networks;
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6402-9
DOI :
10.1109/ICC.2010.5502105