Abstract: The invention relates to a method for determining an adjusted position (63, 64) of a mobile entity in an area (90) of a mobile communications network based on a reference position (61, 62) of the mobile entity in the area (90), the area being divided into different pixels (91). The method comprises determining the reference position (61, 62) of the mobile entity in the area (90), determining, for each pixel (91) of the area (90), a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity, determining, for each pixel (91) of the area (90), a mobile traffic density indicating an expected density of the mobile traffic of the mobile communications network in the area, and determining, for the area (90), a probability matrix (200) of the area based on the reference position (61, 62), the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area.

Abstract: The invention relates to a method for determining an adjusted position (63, 64) of a mobile entity in an area (90) of a mobile communications network based on a reference position (61, 62) of the mobile entity in the area (90), the area being divided into different pixels (91). The method comprises determining the reference position (61, 62) of the mobile entity in the area (90), determining, for each pixel (91) of the area (90), a predicted signal level of a radio frequency field of the mobile communications network for the mobile entity, determining, for each pixel (91) of the area (90), a mobile traffic density indicating an expected density of the mobile traffic of the mobile communications network in the area, and determining, for the area (90), a probability matrix (200) of the area based on the reference position (61, 62), the predicted signal level and the mobile traffic density, the probability matrix indicating a likelihood that the mobile entity is located in the corresponding pixel of the area.

Abstract: A code division multiple access wireless network (10) comprises a plurality of base stations (11-14) which operate asynchronously with respect to one another. A set of scrambling codes are allocated to the base stations for scrambling signals transmitted from the base stations. A node (30) of the wireless network receives (102) a first type of measurement report from wireless terminals (20), which comprises an observed time difference measurement acquired by the wireless terminal (20) for a signal received from one of an active set of base stations (11, 12, 13) that currently serve the wireless terminal. A timing reference is determined (103) for each of the base stations using a plurality of the observed time difference measurements.

Abstract: A code division multiple access wireless network (10) comprises a plurality of base stations (11-14) which operate asynchronously with respect to one another. A set of scrambling codes are allocated to the base stations for scrambling signals transmitted from the base stations. A node (30) of the wireless network receives (102) a first type of measurement report from wireless terminals (20), which comprises an observed time difference measurement acquired by the wireless terminal (20) for a signal received from one of an active set of base stations (11, 12, 13) that currently serve the wireless terminal. A timing reference is determined (103) for each of the base stations using a plurality of the observed time difference measurements.

Abstract: Technologies are provided herein for modifying mobile network signal propagation predictions. According to embodiments, signal characteristics are received from a network management system. The signal characteristics correspond to signals propagating in a predetermined portion of a mobile telephone network. An initial signal propagation prediction that corresponds to the predetermined portion of the mobile telephone network is also received. The initial signal propagation prediction is modified based on the received signal characteristics to produce a more accurate signal propagation prediction.

Abstract: Technologies are provided herein for modifying mobile network signal propagation predictions. According to embodiments, signal characteristics are received from a network management system. The signal characteristics correspond to signals propagating in a predetermined portion of a mobile telephone network. An initial signal propagation prediction that corresponds to the predetermined portion of the mobile telephone network is also received. The initial signal propagation prediction is modified based on the received signal characteristics to produce a more accurate signal propagation prediction.

Abstract: A system for providing a policy based Quality-of-Service management in multi-radio access mobile networks, comprising: control center means for administrating said radio access networks, thereby controlling the behavior thereof, wherein information model is implemented in said control center means which describes different Quality-of-Service mechanisms including attributes which are involved in each function under policy thus representing the manageable parameters of specific network implementations, and wherein said information model forms the basis of a set of policy rules defining actions to be executed in dependency of the occurrence of conditions; and a policy based management device adapted to receive said set of rules for the implementation thereof, said device having a plurality of policy based radio resource management means each adapted for managing said parameters of specific network implementations, and a translation function means adapted to translate said rules in a form executable by said plura

Abstract: An apparatus for preparing at least a first (#1) and a second data flow (#2) for transmission in a mobile network comprises a weight determination means (40) for determining at least one transmission priority for said first data flow (#1) and at least one transmission priority for said second data flow (#2) according to their classes. The apparatus further comprises a scheduling means (1) for scheduling said first and second data flow (#1, #2) for transmission in the mobile network depending on their transmission priority determined. Also a method for preparing the first and second data flow (#1, #2) is described.

Abstract: An adaptive signal receiver comprising at least one blind detection unit arranged to be robust to asynchronous multiple access interference (MAI). The useful signal is detected using a user signature sequence comprised of a fixed term and a complex adaptive part having a length that extends over a number of samples within a defined observation window. Provision is made for updating automatically and periodically the complex adaptive part of the signature sequence.