Abstract: This invention provides methods for Distributed Massive MIMO (DM-MIMO) that use one or more central Baseband Units (BBUs), one or more Multi-User Beamformers for each BBU performing multi-user MIMO computations, and a number of RRHs distributed over a geographic area.

Abstract: This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas, either closely located or distributed; A plural of AFRs deployed over a coverage area, each AFR has N_BF?1 BF antennas with a beam pattern facing the MU-BFer and N_UF?1 UF antennas with a beam pattern facing UEs or downstream AFR(s); A channel estimation module for estimating the Total Channels between a plural of UEs and the BS with the AFRs in place; and, A MU-BFer that uses the estimates of the Total Channels to perform beamforming computations for transmitting and/or receiving multiple spatially multiplexed streams of signals to or from a plural of UEs using the same frequency resource.

Abstract: This invention presents a method for uplink SRS transmission in MU-MIMO wireless communication systems comprising the BS reserving resources for SRS transmission and multiplexing the reserved resources among neighboring cells and among multiple UEs allocated to the same SRS transmission resource; the BS estimating the CQI of each UE through the uplink channel; and the BS allocating the same resource to a group of UEs to transmit uplink SRSs based on the estimated CQI and the QoS requirement.

Abstract: This invention presents methods for calibrating the channel state information in a multi-antenna system, especially for estimating channels transmitting in one direction using signaling transmitted in the other direction. The methods comprise transmitting a first and a second reference signal wherein one is a function of the other, and using the estimate of the channel in one direction, and the received signals from the two reference signals to obtain an estimate of the channel in the other direction between a transmitter of the multi-antenna system to an external wireless device.

Abstract: This invention presents methods for power allocation for each data stream on each transmitting antennas in MU-MIMO wireless communication systems comprising the BS computing the temporary beamforming matrix, constructing special matrices and vectors with the maximum transmitting power on each antenna, the allocated power to each data stream, the channel quality of each data stream, and the amplitude of each element of the temporary beamforming matrix, calculating the power allocated to each data stream on each antenna with the calculated special matrices and vectors, and adjusting each element of the temporary beamforming matrix to obtain the final beamforming matrix.

Abstract: This invention presents a repeater enhanced MU-MIMO wireless communication system com-prising a BS, a plural of repeaters, and a plural of UEs, where a repeater estimates the channel between itself and its upper communication node in the system, a repeater computes equalization coefficients based on the estimation of the channel coefficients, and a repeater applies the equalization coefficients to reduce the channel delay spread or increase the coherence bandwidth of the channel between communication nodes containing the BS, the UEs, or the repeaters.

Abstract: This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas, either closely located or distributed; A plural of AFRs deployed over a coverage area, each AFR has N_BF?1 BF antennas with a beam pattern facing the MU-BFer and N_UF?1 UF antennas with a beam pattern facing UEs or downstream AFR(s); A channel estimation module for estimating the Total Channels between a plural of UEs and the BS with the AFRs in place; and, A MU-BFer that uses the estimates of the Total Channels to perform beamforming computations for transmitting and/or receiving multiple spatially multiplexed streams of signals to or from a plural of UEs using the same frequency resource.

Abstract: This invention provides SRS transmission methods to meet the Massive MIMO systems requirements. These methods are described in two separate categories. Firstly, enhancements to multiplex more channels in the same resources for a given SRS transmission and to provide Massive MIMO throughput performance improvements. Secondly, scheduling enhancements to provide adaptive UE-specific scheduling based on channel conditions for each UE. These methods can be combined in different ways in each BS to optimize the channel estimation system capacity for a given level of system performance.

Abstract: This invention presents methods for estimating MU-MIMO channel information using SU-MIMO channel information to choose a modulation and channel coding appropriate for the quality of the MU-MIMO channels, for adaptively selecting MU-MIMO precoding methods based on estimations of a plural of UEs and for compensating hardware impairments in MU-MIMO precoding.

Abstract: This invention presents methods for MU-MIMO wireless communication systems comprising a BS with plural of antennas, either closely located or distributed; A plural of AFRs deployed over a coverage area, each AFR has N_BF?1 BF antennas with a beam pattern facing the MU-BFer and N_UF?1 UF antennas with a beam pattern facing UEs or downstream AFR(s); A channel estimation module for estimating the Total Channels between a plural of UEs and the BS with the AFRs in place; and, A MU-BFer that uses the estimates of the Total Channels to perform beamforming computations for transmitting and/or receiving multiple spatially multiplexed streams of signals to or from a plural of UEs using the same frequency resource.

Abstract: This invention presents methods for signal detection and transmission in MU-MIMO wireless communication systems, for inverse matrix approximation error calculation, for adaptively selecting the number of multiplexed UEs in a MU-MIMO group, for adaptively choosing a modulation and channel coding scheme appropriate for the quality of MU-MIMO channels with the approximation error of matrix inverse being incorporated.

Abstract: The present disclosure discloses a method and device for acquiring channel information, and relates to a massive antenna array transmission technology. The method includes that: a receiving side acquires indexes L of M antennae which send reference signals in N antennae of a sending side; channel information Y between the M antennae and a receiving antenna of the receiving side is acquired; a unitary matrix W with a dimension of N×N is acquired; and an estimate S? of channel information S between the N antennae of the sending side and the receiving antenna of the receiving side is determined by virtue of the indexes L, the unitary matrix W and the channel information Y.

Abstract: The present invention discloses a group resource allocation method, which comprises the following steps that: a user resource management device groups user-side equipments according to the service type or the modulation and coding scheme of the user-side equipments; and the user resource management device performs an initialization description and/or an update and maintenance description for each group via a group message, describes the resource allocation information of the user-side equipments in each group via the group message to realize a group resource allocation. Through the technical solution above, the present invention lowers the description overhead of a group resource allocation.

Abstract: This invention presents methods for estimating MU-MIMO channel information using SU-MIMO channel information to choose a modulation and channel coding appropriate for the quality of the MU-MIMO channels, for adaptively selecting MU-MIMO precoding methods based on estimations of a plural of UEs and for compensating hardware impairments in MU-MIMO pre-coding.

Abstract: The present disclosure discloses a method and device for acquiring channel information, and relates to a massive antenna array transmission technology. The method includes that: a receiving side acquires indexes L of M antennae which send reference signals in N antennae of a sending side; channel information Y between the M antennae and a receiving antenna of the receiving side is acquired; a unitary matrix W with a dimension of N×N is acquired; and an estimate S? of channel information S between the N antennae of the sending side and the receiving antenna of the receiving side is determined by virtue of the indexes L, the unitary matrix W and the channel information Y.

Abstract: The disclosure discloses a method for coordinating downlink MIMO precoding among multiple BSs, including that: each BS first performs independent resource allocation to allocate resources to users of each BS, then receives PMI information fed back by a time-frequency resource block occupying MS in a respective cell, wherein the PMI information includes optimal and recommended or restrained PMIs corresponding to an MS; adjacent BSs perform information interaction with each other to acquire PMI information of MSs occupying the same time-frequency resource block in adjacent cells; and it is determined whether there is any conflict between MSs occupying the same time-frequency resource block in adjacent cells according to PMI information fed back by an MS in the current cell and interaction information from adjacent BSs, and a new PM is generated in a corresponding manner. The disclosure also discloses a device for implementing the method.

Abstract: The present invention discloses a method and a system for transmitting data using the collaborative multiple input multiple output (MIMO) beamforming. The method comprises: selecting an MIMO mode according to channel quality information (CQI) (S502); performing the MIMO encoding on a data stream according to the selected MIMO mode, and distributing the encoded data stream to a plurality of transmitting ends which are mutual collaborative (S504); and transmitting, by the plurality of transmitting ends, the encoded data stream (S506). The present invention solves the problem in the relevant art of reducing the system performance and the flexibility, which is caused by adopting the fixed MIMO mode when the system carries out the encoding and the transmission, which is capable of improving the system performance.

Abstract: The present invention discloses a group resource allocation method, which comprises the following steps that: a user resource management device groups user-side equipments according to the service type or the modulation and coding scheme of the user-side equipments; and the user resource management device performs an initialization description and/or an update and maintenance description for each group via a group message, describes the resource allocation information of the user-side equipments in each group via the group message to realize a group resource allocation. Through the technical solution above, the present invention lowers the description overhead of a group resource allocation.

Abstract: Disclosed are a method and device for feeding back channel state information. The method includes: generating a first codebook by using the number of antennae in each row of a planar antenna array; generating a second codebook by using the number of columns of the planar antenna array; and feeding back the channel state information by using the first codebook and the second codebook. The solution of the disclosure improves system robustness.

Abstract: The present invention discloses a group resource allocation method, which comprises the following steps that: a user resource management device groups user-side equipments according to the service type or the modulation and coding scheme of the user-side equipments; and the user resource management device performs an initialization description and/or an update and maintenance description for each group via a group message, describes the resource allocation information of the user-side equipments in each group via the group message to realize a group resource allocation. Through the technical solution above, the present invention lowers the description overhead of a group resource allocation.