A shadowing-aware Density_Map for location estimation using COB in non-uniformly populated cellular systems
Nejla Ghaboosi, Abbas Jamalipour
Abstract
Nejla Ghaboosi, Abbas Jamalipour
Abstract
The presence of non-line-of-sight (NLOS) propagation poses significant problems in positioning a mobile terminal within cellular communication systems. Count-of-Beacon (COB) is a new radiolocation technique where the existence of NLOS propagation does not degrade the precision of the estimated position. However, non-uniformity of subscribers' distribution negatively affects the performance of the COB technique. The Density_Map of each cell can be used to lighten the impact of nonuniform distribution of subscribers. However, the accuracy of the Density_Map is highly reliant on the propagation conditions of the wireless environment. This paper analyzes the sensitivity of the Density_Map to the deviation of the attenuation that signals experience in shadow fading environments. This analysis is then used to redefine the Density_Map. Simulation results are used to verify the validity of the new defined map when the environment is suffering from high shadowing.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The presence of non-line-of-sight (NLOS) propagation poses significant problems in positioning a mobile terminal within cellular communication systems. Count-of-Beacon (COB) is a new radiolocation technique where the existence of NLOS propagation does not degrade the precision of the estimated position. However, non-uniformity of subscribers' distribution negatively affects the performance of the COB technique. The Density_Map of each cell can be used to lighten the impact of nonuniform distribution of subscribers. However, the accuracy of the Density_Map is highly reliant on the propagation conditions of the wireless environment. This paper analyzes the sensitivity of the Density_Map to the deviation of the attenuation that signals experience in shadow fading environments. This analysis is then used to redefine the Density_Map. Simulation results are used to verify the validity of the new defined map when the environment is suffering from high shadowing.
Key concepts: Non-line-of-sight propagation, Shadow mapping, Computer science, Attenuation, Fading, Wireless, Position (finance), Real-time computing