A topology verification process for controlling a Personal Communication Services (PCS) system which includes a plurality of Cordless Fixed Parts (CFP)s. The process includes mapping the spatial relationships of the CFPs utilizing Received Signal Strength Indication (RSSI) vectors resulting from test signals transmitted between the CFPs, to establish the topology of the system; repeating the mapping process after any disruption of power to the system, and comparing the results. Any significant change in the results, would be highly indicative of a potential change in the geographic area of operation of the system, and can be used to initiate disablement of the system operation.
A system and method for monitoring the operational area of one or more subscriber stations in a wireless system facilitates determining whether subscriber stations are operating in their authorized coverage areas or not. The system and method first defines a characteristic composite fingerprint for a subscriber station associated with the operation of a subscriber station in an authorized coverage area. An operational area monitor monitors an operational composite fingerprint for the subscriber station. The monitor or another network element compares the operational composite fingerprint to the characteristic composite fingerprint to determine if the subscriber station is operating within the authorized coverage area or the restricted coverage area.
Classes of cognition models which may include: 1) Radio Environment models, 2) Mobility models and 3) Application/User Context models are utilized in a wireless communications network. Radio Environment models represent the physical aspects of the radio environment, such as shadowing losses, multi-path propagation, interference and noise levels, etc. Mobility models represent users motion, in terms of geo-coordinates and/or logical identifiers, such as street names etc. as well as speed of user terminal etc. The context model represents the present state and dynamics of each of these application processes within itself and between multiple application processes. These data are employed to optimize network performance.
Classes of cognition models which may include: 1) Radio Environment models, 2) Mobility models and 3) Application/User Context models are utilized in a wireless communications network. Radio Environment models represent the physical aspects of the radio environment, such as shadowing losses, multi-path propagation, interference and noise levels, etc. Mobility models represent users motion, in terms of geo-coordinates and/or logical identifiers, such as street names etc. as well as speed of user terminal etc. The context model represents the present state and dynamics of each of these application processes within itself and between multiple application processes. These data are employed to optimize network performance.
The invention relates to a method of testing the quality of mobile wireless networks which rules out subjective influences as much as possible in the evaluation of quality. According to this invention, a number of test subscribers are equipped with mobile wireless terminals, each being assigned a special telephone number, whereby each test subscriber can communicate over a mobile wireless network selected individually from a quantity of several mobile wireless networks. The selected mobile wireless network is kept anonymous with respect to the test subscriber and is changed at certain intervals. Acquisition of the network quality perceived by the subscribers is performed promptly.
A method for fixing a location of a fixed wireless terminal. The method includes receiving a first plurality of telecommunication signals at the fixed wireless terminal, generating a first model of a network environment of the fixed wireless terminal based on an identification code sent with each of the first plurality of received signals, wherein the identification code is indicative of a base station from which the signal was transmitted, and the signal strength of each of the first plurality of received signals, receiving a second plurality of telecommunication signals at the fixed wireless terminal, generating a second model of the network environment of the fixed wireless terminal based on an identification code sent with each of the second plurality of received signals, wherein the identification code is indicative of a base station from which the signal was transmitted, and the signal strength of each of the second plurality of received signals, and determining whether the first and second models differ beyond a predetermined limit.