Cellular Network Fingerprint Localization Dataset

The dataset was collected in the actual outdoor environment of Dalian, China, with specific areas carefully selected to encompass a diverse range of environmental characteristics. These environments are extensive, including not only the urban center with high-rise office buildings and high population density but also suburban areas with scattered low-rise buildings and relative tranquility; additionally, they encompass major urban arteries with constant traffic flow and urban side streets with lighter traffic.

Within a specific time frame, we systematically collected wireless fingerprint information from the aforementioned selected areas. The real-time data obtained from a single measurement is comprehensive, specifically including: (1) precise location parameters of the positioning device; (2) detailed network parameters of the current serving cell (i.e., the network base station connected to the device); and (3) network parameters of all neighboring cells (i.e., other potential connectable network base stations in the vicinity) detectable by the device.

During the fingerprint data collection process, we employed a dynamic tracking method, where the collection device was mounted on a moving vehicle traveling at normal driving speeds, with fingerprint data recorded every 100 milliseconds. This high-frequency continuous collection strategy enabled us to efficiently gather continuous and dense fingerprint information along the streets.