摘要:
A polynomial kernel generator is configured to mitigate nonlinearity in a receiver path from a transmitter path comprising a nonlinear component in a communication device or system. The polynomial kernel generator operates to generate polynomial kernels that can be utilized to model the nonlinearity as a function of a piecewise polynomial approximation applied to a nonlinear function of the nonlinearity. The polynomial kernel generator generates kernels in a multiplier less architecture with polynomial computations in a log domain using a fixed number of adders.
摘要:
Technology for performing a Time Division Duplex (TDD) uplink-downlink (UL-DL) reconfiguration in a heterogeneous network (HetNet) is described. An evolved node B (eNB) may identify cluster metrics for a plurality of evolved node Bs (eNBs) in a cell cluster of the HetNet. The plurality of eNBs in the cell cluster may have a backhaul latency within a selected range. The eNB may select a TDD UL-DL configuration index for the plurality of eNBs in the cell cluster based in part on the cluster metrics. The eNB may transmit the TDD UL-DL configuration index to one or more user equipments (UEs) located within the cell cluster using a downlink control information (DCI) format. The TDD UL-DL configuration index may be transmitted on a Common Search Space (CSS) of a physical downlink control channel (PDCCH) on a UE-specific Primary Cell (PCell).
摘要:
Embodiments described herein relate generally to a communication between a user equipment (“UE”) and an evolved Node B (“eNB”). A UE may be adapted to signal to an eNB a request to adjust a downlink transmission power level. Based on the request, the eNB may adjust its downlink transmission power level. In another embodiment, an eNB may be adapted to adjust its downlink transmission power level according to a pseudorandom sequence. This pseudorandom sequence may be generated from a seed, which the eNB may signal to a UE. Based on power adjustments and/or randomizations, a UE may perform interference cancellation. Other embodiments may be described and/or claimed.
摘要:
An adaptation hardware accelerator comprises a calculation unit configured to receive a plurality of inputs at one or more predefined time intervals, wherein each time interval corresponds to a calculation iteration, the plurality of inputs being associated with a plurality of adaptive filters each having a plurality of taps, and determine a correlation data and a cross-correlation data based thereon for a given calculation iteration. The correlation data comprises a correlation matrix comprising a plurality of sub-matrices, wherein determining the correlation matrix comprises determining only the submatrices in an upper triangular portion and a diagonal portion of the correlation matrix. Further, the adaptation hardware accelerator comprises an adaptation core unit configured to determine a plurality of adaptive weights associated with the plurality of adaptive filters, respectively, based on an optimized RLS based adaptive algorithm, by utilizing the correlation data and the cross correlation data. In addition, the hardware accelerator unit comprises a convergence detector unit configured to determine a convergence parameter; and a controller configured to generate an iteration signal for each of the predefined time intervals based on the convergence parameter. The iteration signal communicates to the calculation unit and the adaptation core unit to continue with a next calculation iteration or to conclude, wherein the conclusion indicates a determination of a final value of the plurality of the adaptive weights by the adaptation core unit.
摘要:
A method and system for interference cancelation in a wireless communication device. The wireless communication device can include an interference estimator configured to generate one or more filter weights based on a transmit signal. The one or more filter weights can be generated based on one or more kernels generated by the interference estimator. The interference estimator can be configured to perform recursive linear square (RLS) estimations based on the one or more kernels. The RLS estimations can include one or more independent RLS estimations, one or more parallel RLS estimations and/or one or more cascade RLS estimations. The interference estimator can be configured to perform one or more orthogonally transform one or more kernels.