Abstract: Spectrum usage in a radio cognitive transmission system may be monitored in a distributed manner in space and time through a first set of monitoring apparatuses and a second set of monitoring apparatuses. The first set of monitoring apparatuses may be associated to apparatuses, such as base stations, having a monitoring precision level, for example, linked to the spectrum sampling frequency, greater with respect to the monitoring precision of the monitoring apparatus of the second set. The later may be suitable to be represented by a low-cost “sniffer” associated to consumer electronics devices.

Abstract: Spectrum usage in a radio cognitive transmission system may be monitored in a distributed manner in space and time through a first set of monitoring apparatuses and a second set of monitoring apparatuses. The first set of monitoring apparatuses may be associated to apparatuses, such as base stations, having a monitoring precision level, for example, linked to the spectrum sampling frequency, greater with respect to the monitoring precision of the monitoring apparatus of the second set. The later may be suitable to be represented by a low-cost “sniffer” associated to consumer electronics devices.

Abstract: A method and system for determining the bit-rate between a wireless station and one or more access points that takes into account the usage (congestion) of the access points. Each wireless station includes software and/or hardware for estimating the bit-rate between the wireless station and any available access points and provides automatic load balancing for the wireless network. Dual estimator and backpressure algorithms are utilized to better estimate the achievable bit-rate available to a wireless station associated with an access point and to provide congestion sensitive access point selection. Bandwidth estimation is provided while taking into account congestion information for building up associations to access points while automatically achieving load balancing of the traffic among available access points.

Abstract: A maximum achievable bit rate estimation for the expected bit rate between a wireless client and an access point is calculated in two phases. In the first phase, the maximum achievable bit rate is estimated using signal quality information and optionally congestion level information of the access point(s) of interest. In a second phase of the bit rate estimation, the first phase estimator output is corrected by using historical information relating the estimated bit rate values to the bit rates actually experienced. In the second phase of the estimation, a repository stores known signal quality behavior of the access points so as to provide an Access Point History (APH). The APH can be implemented as a simple memory (database) entity where a record is maintained on how accurate the previous bit-rate estimations turned out to be in practice. The actual physical embodiment of APH memory is implemented using any adequate memory technology such as FLASH, local hard disk, and the like.

Abstract: A mobile transceiver and a method of detecting movement of the mobile transceiver in a radio system. The radio system includes at least one base station and terminals. The movement of the mobile transceiver is measured by at least one acceleration sensor (114–116) to take the movement of the mobile transceiver onto account in the operation of the radio system.

Abstract: A mobile transceiver and a method of detecting movement of the mobile transceiver in a radio system. The radio system includes at least one base station and terminals. The movement of the mobile transceiver is measured by at least one acceleration sensor (114-116) to take the movement of the mobile transceiver onto account in the operation of the radio system.