Abstract:
A method includes obtaining a precoder for retransmission of one codeword responsive to a known precoding matrix of a certain rank and modulation and coding scheme assignments used in an original transmission, and a desired retransmission rank', forming an approximate channel covariance matrix; stimating an a minimum mean square error receiver signal-to-noise-interference-ratio for each layer to be retransmitted responsive to the prior forming; and finding a precoding matrix from a preceding codebook that maximizes a sum-rate for enabling precoding selections for retransmissions in uplink multiple-input multiple-output MIMO hybrid automatic repeat request HARQ.
Abstract:
An adaptive scheduling process is disclosed which dynamically decides which frames need to be transmitted and which ones need to be dropped at any transmission opportunity based on current channel conditions and on characteristics of each video frame.
Abstract:
Methods and systems for conveying or transmitting to any given user in an OFDMA-MU-MIMO system scheduling information of other co-scheduled users to permit the user to perform error-correction on received data and/or interference reduction on its received signals. The scheduling information can include resource block assignment, modulation constellations employed, coding rates employed, power levels utilized and precoder matrix indices used. Further, the scheduling information can be conveyed in part through dedicated reference symbol layers or pilot streams. Moreover, a base station may transmit a preliminary estimate of the total number of users the base station expects to schedule, or an upper-bound on the total number of users, to the MU-MIMO users to permit the MU-MIMO users to determine preferred precoder matrix indices and indications of channel quality indices.
Abstract:
A system is disclosed with a collaborative filtering engine to predict an active user's ratings/interests/preferences on a set of new products/items. The predictions are based on an analysis the database containing the historical data of many users' ratings/interests/preferences on a large set of products/items.
Abstract:
Methods and systems for transmitting and receiving data include reverse concatenated encoding and decoding. Reverse concatenated decoding includes inner decoding the encoded stream with an inner decoder that uses a low-complexity linear-block code to produce an inner-decoder output stream, outer decoding the inner-decoder output stream with an outer decoder that uses a low-density parity-check code to produce an information stream, and iterating extrinsic bit reliabilities from the outer decoding for use in subsequent inner decoding to improve decoding performance.
Abstract:
Systems and methods for conveying wireless transmission allocation information are disclosed. In accordance with one method, an index indicating selected data stream parameters is received. In addition, an indication of a number of transmit antennas at a transmitter from which the data stream is transmitted is also received. Further, the selected parameters are determined from the index based on the number of transmit antennas at the transmitter. Moreover, data signals are received and processed with a processor in accordance with the selected data stream parameters.
Abstract:
Multi-user (MU-) MIMO systems with quantized feedback are designed to maximize the sum-rate via scheduling and linear precoding. To maximize throughput over the network, quantized CSIT is sent through a low-rate feedback link feedback from a plurality of users back to a base station. The base station then determines a subset of the plurality of users to transmit one or more signals to based on the received feedback and determines a preceding matrix based on the received feedback from the plurality of users wherein the precoding matrix maximizes a sum-rate throughput for the subset of the plurality of users. Additionally, based on the received feedback, the base station designs a quantization codebook. This codebook may be designed off-line and/or online. The codebook and/or precoding matrix are used to transmit signals to the users.
Abstract:
A method includes receiving input information related to transmission of video and data by an access point in a wireless network, the input information including at least one of setup connections, modulating and coding scheme MCS; receiving, by the access point, channel state each information from each user in the wireless network, the channel state information including signal-to-interference-and-noise-ratio SINR for each user under each beam pattern; and multicast beamform scheduling, responsive to the receiving, for multicast delivery of the video and data from the access point with beamforming antennas, the videos being at least one of a multi-resolution and a multi-layered video, the scheduling including a greedy procedure for selecting beams, assigning MCS and video layer or resolution to each of the beams.
Abstract:
A method for scheduling transmissions in wireless network includes receiving information ranging from conventional data to real-time streaming applications into a basestation of an OFDMA wireless relay network and scheduling transmission of the information from the basestation by influencing adaptive frame segmentation and access hop reuse in the transmission of the information for achieving higher transmission flow of the information, Where the scheduling is formulated as an integer program, the scheduling includes solving a linear programming relaxation of the integer program and rounding to integral allocations with allocation to at least one of a subset of wireless users and subsets of relays in the network for obtaining frame segmentation and reuse. Where the scheduling is formulated by following a bisection approach to guide adaptation of the frame segmentation, the scheduling determines a subset of users with maximum flow per unit resource for a given frame segmentation and the resulting flow from current and previous scheduling being used to guide adaptation of frame segmentation towards convergence.
Abstract:
A quantized multi-rank beamforming scheme for multiple-antenna systems such as a multiple-input-multiple-output (MIMO) wireless downlink. User equipment (UE) estimates downlink channel and transmit power and determines rank and power allocations. A quantized beamforming matrix is then determined by the UE using successive beamforming. The UE also determines channel quality indices (CQI) which it feeds-back to the wireless downlink base station along with the index of the quantized beamforming matrix. The base station uses the CQI information to select a UE for scheduling of downlink transmission and the quantized beamforming matrix index received from the selected UE to beamform the downlink transmission to the UE. Base station overhead and is minimized while providing near-optimal performance given the constraints of a limited feed-back channel and computational complexity of the UE.