Abstract: Described are techniques for limiting bandwidth requirements for user equipment UE data sent on a front haul link between a remote radio head RRH and a baseband unit BBU. For a given UE a subset of a plurality of beams is selected based on received energies of the plurality of beams, and for the given UE only data from the selected subset of beams transmitting on a front haul link. Multiple techniques are detailed for how the subset is selected, including (when UE allocation information is available) averaged received beam energy, total received beam energy, maximum received beam energy and also (when UE allocation information is not available). For further bandwidth reduction a special data compression technique uses the received energies of each beam to select a minimum gain offset value after dividing the data into I and Q components.

Abstract: Described are techniques for limiting bandwidth requirements for user equipment UE data sent on a front haul link between a remote radio head RRH and a baseband unit BBU. For a given UE a subset of a plurality of beams is selected based on received energies of the plurality of beams, and for the given UE only data from the selected subset of beams transmitting on a front haul link. Multiple techniques are detailed for how the subset is selected, including (when UE allocation information is available) averaged received beam energy, total received beam energy, maximum received beam energy and also (when UE allocation information is not available). For further bandwidth reduction a special data compression technique uses the received energies of each beam to select a minimum gain offset value after dividing the data into I and Q components.

Abstract: The specification and drawings present a new method, apparatus and software related product (e.g., a computer readable memory) for a timing offset/error estimate (TOE) method, e.g., for a LTE UL receiver. This may especially beneficial for the MU-MIMO and/or CoMP with MAAS applications, where the conventional methods do not work properly due to a strong interference among users (UEs) sharing the same radio resource. Two approaches (separately or in combination) may be used to improve TOE quality. First, the timing offset/error may be calculated using phase difference for pilot pairs with non-adjacent pilots/carriers having a larger separation between subcarriers than for pilot pairs with adjacent subcarriers. Second, a modified pilot sequence for timing offset estimate may be created using sliding an averaging window. This can effectively remove interference which is critical for the MU-MIMO and CoMP applications.

Abstract: The specification and drawings present a new method, apparatus and software related product (e.g., a computer readable memory) for a timing offset/error estimate (TOE) method, e.g., for a LTE UL receiver. This may especially beneficial for the MU-MIMO and/or CoMP with MAAS applications, where the conventional methods do not work properly due to a strong interference among users (UEs) sharing the same radio resource. Two approaches (separately or in combination) may be used to improve TOE quality. First, the timing offset/error may be calculated using phase difference for pilot pairs with non-adjacent pilots/carriers having a larger separation between subcarriers than for pilot pairs with adjacent subcarriers. Second, a modified pilot sequence for timing offset estimate may be created using sliding an averaging window. This can effectively remove interference which is critical for the MU-MIMO and CoMP applications.

Abstract: A wireless communication system (100), method, and base station (112) are provided for optimizing performance of a base station receiver (120). The method includes selecting an interpolation matrix (216) specially tailored for particular channel characteristics from a pre-defined set of interpolation matrices (218), and using the selected interpolation matrix in the channel estimation, and applying the derived channel estimates for the data subcarriers to an equalizer (118) as a set of weights. The interpolation matrix (216) is selected by using the matrix corresponding to a received channel profile information, or by monitoring a performance metric (212) while using each interpolation matrix of a pre-defined set of matrices in the channel estimation and applying the derived channel estimates for the data subcarriers as a set of weights to the receiver equalizer (118) and selecting the matrix resulting in best performance.