Title :
Ecology-Based Coexistence Mechanism in Heterogeneous Cognitive Radio Networks
Author :
Duzhong Zhang;Quan Liu;Lin Chen;Wenjun Xu
Author_Institution :
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Recently, tremendous utilization of wireless networks has led to sever scarcity of radio spectrum resources. TV White Spaces (TVWSs) as novel bands enabling Cognitive Radio (CR) technology to improve spectrum resources utilization, have attracted significant standardisation efforts such as IEEE 802.11af, IEEE 802.16h and 802.22. As these heterogeneous networks may operate on the same channels of TVWSs, network coexistence problem cannot be avoided and is particularly challenging given the heterogeneous MAC/PHY layer protocols and operation parameters (e.g., tx power) employed in coexisting networks. In this paper, we develop a coexistence mechanism called ecological Species Competition based HEterogeneous networks coexistence MEchanism (SCHEME). Inspired by ecology based species competition model, SCHEME uses an ecological spectrum allocation method to assign available spectrums. Through both theoretical and simulation analysis, we demonstrate that SCHEME can achieve stable and fair spectrum allocation among coexisting networks.
Keywords :
"Bandwidth","Resource management","Biological system modeling","Silicon","Heterogeneous networks","Ecology","Predator prey systems"
Conference_Titel :
Global Communications Conference (GLOBECOM), 2015 IEEE
DOI :
10.1109/GLOCOM.2015.7417089