Patent classifications
H04L2025/03732
Device for Receiving Signals from a Network Cable
There is provided a device comprising a channel equalizer and a monitoring device, wherein the device is configured to establish a point-to-point network connection with a connected device via a network cable, by executing an initial training cycle so data received via the network cable is readable by the device. The channel equalizer is configured to continuously adapt to characteristics of the network cable by continuous training of the channel equalizer to help maintain the network connection, and the monitoring device is configured to monitor signals received from the network cable for out-of-range signals, to temporarily interrupt the continuous training of the channel equalizer when out-of-range signals are detected, and to resume the continuous training once the out-of-range signals are no longer detected without executing the initial training cycle again.
Tiered control of iterative MIMO receivers
In order to balance the power requirements of a MIMO receiver with the gains that may be achieved through its use, an apparatus determines whether a current configuration of the UE supports iterative MIMO reception. When it is determined that the current configuration of the UE supports iterative MIMO reception, the apparatus determines whether at least one parameter of the received signal is within a corresponding target condition, respectively, for each of the at least one parameters, e.g., including determining whether a scheduling percentage meets a scheduling threshold and whether an error rate is within an error rate range. When both the configuration supports iterative MIMO reception and the signal parameter(s) meet the corresponding target condition(s), the apparatus uses the iterative MIMO receiver. If not, the apparatus uses a serial receiver.
TIERED CONTROL OF ITERATIVE MIMO RECEIVERS
In order to balance the power requirements of a MIMO receiver with the gains that may be achieved through its use, an apparatus determines whether a current configuration of the UE supports iterative MIMO reception. When it is determined that the current configuration of the UE supports iterative MIMO reception, the apparatus determines whether at least one parameter of the received signal is within a corresponding target condition, respectively, for each of the at least one parameters, e.g., including determining whether a scheduling percentage meets a scheduling threshold and whether an error rate is within an error rate range. When both the configuration supports iterative MIMO reception and the signal parameter(s) meet the corresponding target condition(s), the apparatus uses the iterative MIMO receiver. If not, the apparatus uses a serial receiver.
Apparatuses and methodologies for decision feedback equalization using particle swarm optimization
Methods and apparatuses are provided for channel equalization in a communication system. The method includes initializing, using processing circuitry, filter coefficients of an adaptive decision feedback equalizer randomly in a predetermined search space. Further, the method includes updating, using the processing circuitry, the filter coefficients. The filter coefficients are updated using a least mean square recursion when the filter coefficients are stagnant. The filter coefficients are updated using a particle swarm optimization procedure when the filter coefficients are not stagnant. Further, the updating step is repeated until a predetermined stopping criteria is met. Further, the method includes, filtering, using the processing circuitry, a received signal using the filter coefficients.
APPARATUSES AND METHODOLOGIES FOR DECISION FEEDBACK EQUALIZATION USING PARTICLE SWARM OPTIMIZATION
Methods and apparatuses are provided for channel equalization in a communication system. The method includes initializing, using processing circuitry, filter coefficients of an adaptive decision feedback equalizer randomly in a predetermined search space. Further, the method includes updating, using the processing circuitry, the filter coefficients. The filter coefficients are updated using a least mean square recursion when the filter coefficients are stagnant. The filter coefficients are updated using a particle swarm optimization procedure when the filter coefficients are not stagnant. Further, the updating step is repeated until a predetermined stopping criteria is met. Further, the method includes, filtering, using the processing circuitry, a received signal using the filter coefficients.