Efficient white space boundary estimation with heterogeneous types of sensors

Issei Kanno, Kenshi Horihata, Akio Hasegawa, Toshiyuki Maeyama, Yoshio Takeuchi
2014 2014 International Symposium on Antennas and Propagation Conference Proceedings  
This paper proposes a novel framework for white space (WS) boundary estimation which utilizes heterogeneous types of sensors. The proposed framework utilizes sensors not for spectrum sensing, but for estimating the propagation parameters that characterize the boundary to the incumbent radio systems (IRSs) to identify WS efficiently. The position of IRS emitter (transmission source), its transmission power, and pathloss around it are estimated to identify the boundary from collected sensing
more » ... The former 2 parameters and latter one are estimated with sparsely deployed long-range sensors and densely deployed low-end small sensors, respectively. In addition, its result of preliminary feasibility study is described. Index Terms -white space boundary, propagation characteristics, heterogeneous types of sensors, cognitive radio Received signal power at 8100 points Configured Received Signal Level (WS regulation) Emitter Proposal with 324 small sensors Estimated boundary WS IRS WE3C_08 WE3C_08 WE3C_08 WE3C_08
doi:10.1109/isanp.2014.7026583 fatcat:f4o6kvaw2fbbbc7spboa7ggoyu