Title :
Coexistence Decision Making for Spectrum Sharing Among Heterogeneous Wireless Systems
Author :
Bahrak, Behnam ; Park, Jung-Min Jerry
Author_Institution :
Dept. of Electr. & Comput. Eng. (MC0111), Virginia Tech, Blacksburg, VA, USA
Abstract :
This paper focuses on the problem of spectrum sharing between secondary networks that access spectrum opportunistically in TV spectrum. Compared to the coexistence problem in the ISM (Industrial, Scientific and Medical) bands, the coexistence situation in TV whitespace (TVWS) is potentially more complex and challenging due to the signal propagation characteristics in TVWS and the disparity of PHY/MAC strategies employed by the systems coexisting in it. In this paper, we propose a novel decision making algorithm for a system of coexistence mechanisms, such as an IEEE 802.19.1-compliant system, that enables coexistence of dissimilar TVWS networks and devices. Our algorithm outperforms existing coexistence decision making algorithms in terms of fairness, and percentage of demand serviced.
Keywords :
radio networks; radio spectrum management; television broadcasting; IEEE 802.19.1 compliant system; ISM; PHY-MAC strategies; TV spectrum; TV whitespace; access spectrum; coexistence decision making; decision making algorithm; decision making algorithms; heterogeneous wireless systems; industrial scientific and medical bands; signal propagation characteristics; spectrum sharing; Decision making; IEEE 802.11 Standards; Interference; Neurons; Resource management; TV; Wireless networks; Boltzmann machine; Coexistence decision making; IEEE 802.19.1; TV whitespace; cognitive radio;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2014.012314.122009