TY - GEN
T1 - Measurement-calibrated conflict graphs for dynamic spectrum distribution
AU - Zhou, Xia
AU - Zhang, Zengbin
AU - Wang, Gang
AU - Yu, Xiaoxiao
AU - Zhao, Ben Y.
AU - Zheng, Haitao
PY - 2012
Y1 - 2012
N2 - Building accurate interference maps is critical for performing reliable and efficient spectrum allocation. In this work, we use empirical data to explore the feasibility of using measurement-calibrated propagation models to build accurate interference models. Our work shows that calibrated propagation models generate location-dependent signal prediction errors. Such error pattern leads to conservative conflict graphs that actually improve the reliability of spectrum allocations by reducing the impact of unpredicted accumulative interference.
AB - Building accurate interference maps is critical for performing reliable and efficient spectrum allocation. In this work, we use empirical data to explore the feasibility of using measurement-calibrated propagation models to build accurate interference models. Our work shows that calibrated propagation models generate location-dependent signal prediction errors. Such error pattern leads to conservative conflict graphs that actually improve the reliability of spectrum allocations by reducing the impact of unpredicted accumulative interference.
UR - http://www.scopus.com/inward/record.url?scp=84876033289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876033289&partnerID=8YFLogxK
U2 - 10.1109/DYSPAN.2012.6478150
DO - 10.1109/DYSPAN.2012.6478150
M3 - Conference contribution
AN - SCOPUS:84876033289
SN - 9781467344487
T3 - 2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012
SP - 287
BT - 2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012
T2 - 2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012
Y2 - 16 October 2012 through 19 October 2012
ER -