Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: Methods and corresponding systems for determining a transmit power in a wireless device include receiving, in the wireless device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The wireless device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the wireless device, or a downlink SINR level measured by the wireless device.

Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: Methods and corresponding systems for determining a transmit power in a wireless device include receiving, in the wireless device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The wireless device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the wireless device, or a downlink SINR level measured by the wireless device.

Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: In an embodiment, a wireless communication system (100, FIG. 1) includes one or more nodes (102-108) and one or more user equipments (UE) (130-134). A node may service a cell (110-116). A UE may be classified (802, FIG. 8) into a cell-edge UE group when the UE is within in a cell-edge region (504, 506, 508, FIG. 5) of a cell. The cell-edge UE group may be allocated at least one first frequency range within an available bandwidth (600, 700, FIGS. 6 and 7). A UE may be reclassified (808, FIG. 8) into a cell-center UE group based on at least one indicator of UE performance. The cell-center UE group may be allocated at least one second frequency range within the available bandwidth.

Abstract: A technique for joint detection of channel-coded signals in a multiple-input multiple-output system includes detecting, when a decoded signal associated with a first symbol stream passes a cyclic redundancy check, channel-coded signals in the first symbol stream and a second symbol stream using minimum mean squared error with ordered successive interference cancellation (MMSE-OSIC) based detection. When the decoded signal associated with the first symbol stream fails the cyclic redundancy check, the channel-coded signals in the first and second symbol streams are detected using neighbor search algorithm (NSA) based detection.

Abstract: A method for processing a plurality of symbol streams is provided. The method includes receiving a first symbol stream, wherein the first symbol stream has a corresponding first number of retransmissions. The method further includes receiving a second symbol stream, wherein the second symbol stream has a corresponding second number of retransmissions. The method further includes selecting the first symbol stream for decoding, if the first number of retransmissions is greater than the second number of retransmissions.

Abstract: Methods and corresponding systems for allocating resources in a communications system includes determining feasible sets of subchannels for allocation to a user subject to an allocation constraint. In one approach, a constraint matrix representing constraints for allocating subchannels to users in allocations of selected subchannels is computed, subject to the allocation constraint. Then a vector containing metrics corresponding to allocations of selected subchannels to the communication links is estimated. A binary decision vector representing an allocation of the subchannels to the users is computed using binary integer processing. In another approach a greedy heuristic allocation is used. The allocation constraint can be a restriction limiting multiple subchannels allocated to a user to be adjacent to one another. The metrics can be weighted capacities of allocations of selected subchannels to the users.

Abstract: A technique for joint detection of channel-coded signals in a multiple-input multiple-output system includes detecting, when a decoded signal associated with a first symbol stream passes a cyclic redundancy check, channel-coded signals in the first symbol stream and a second symbol stream using minimum mean squared error with ordered successive interference cancellation (MMSE-OSIC) based detection. When the decoded signal associated with the first symbol stream fails the cyclic redundancy check, the channel-coded signals in the first and second symbol streams are detected using neighbor search algorithm (NSA) based detection.

Abstract: Methods and corresponding systems for determining a transmit power in a mobile device include receiving, in the mobile device, a cell-wide power control parameter related to a target receive power at a serving base station. Thereafter, a transmit power is calculated in response to the cell-wide power control parameter and an implicit mobile-specific power control parameter. The mobile device then transmits using the transmit power. The cell-wide power control parameter can be a cell target signal to interference-plus-noise ratio, or a fractional power control exponent. The implicit mobile-specific power control parameter can be a modulation and coding level previously used by the mobile device, or a downlink SINR level measured by the mobile device.

Abstract: A method for processing a plurality of symbol streams is provided. The method includes receiving a first symbol stream, wherein the first symbol stream has a corresponding first number of retransmissions. The method further includes receiving a second symbol stream, wherein the second symbol stream has a corresponding second number of retransmissions. The method further includes selecting the first symbol stream for decoding, if the first number of retransmissions is greater than the second number of retransmissions.

Abstract: A method for processing symbols transmitted via a first plurality of antennas and received via a second plurality of antennas is provided. The method includes receiving symbol streams corresponding to a sub-carrier frequency from each of the second plurality of antennas. The method further includes generating estimated symbol streams for the sub-carrier frequency for each of the first plurality of antennas. The method further includes selecting an estimated symbol stream corresponding to one of the first plurality of antennas for interference cancellation. The method further includes transforming the selected symbol stream into time domain and decoding the selected symbol stream. The method further includes transforming the decoded symbol stream into frequency domain. The method further includes performing interference cancellation using the decoded symbol stream.

Abstract: In an embodiment, a wireless communication system (100, FIG. 1) includes one or more nodes (102-108) and one or more user equipments (UE) (130-134). A node may service a cell (110-116). A UE may be classified (802, FIG. 8) into a cell-edge UE group when the UE is within in a cell-edge region (504, 506, 508, FIG. 5) of a cell. The cell-edge UE group may be allocated at least one first frequency range within an available bandwidth (600, 700, FIGS. 6 and 7). A UE may be reclassified (808, FIG. 8) into a cell-center UE group based on at least one indicator of UE performance. The cell-center UE group may be allocated at least one second frequency range within the available bandwidth.

Abstract: Methods and corresponding systems for allocating resources in a communications system includes determining feasible sets of subchannels for allocation to a user subject to an allocation constraint. In one approach, a constraint matrix representing constraints for allocating subchannels to users in allocations of selected subchannels is computed, subject to the allocation constraint. Then a vector containing metrics corresponding to allocations of selected subchannels to the communication links is estimated. A binary decision vector representing an allocation of the subchannels to the users is computed using binary integer processing. In another approach a greedy heuristic allocation is used. The allocation constraint can be a restriction limiting multiple subchannels allocated to a user to be adjacent to one another. The metrics can be weighted capacities of allocations of selected subchannels to the users.