| Patent application number | Description | Published |
|---|
| 20090135965 | Flexible rate matching - Flexible rate matching. No constraints or restrictions are placed on a sending communication device when effectuating rate matching. The receiving communication device is able to accommodate received transmissions of essentially any size (e.g., up to an entire turbo codeword that includes all systematic bits and all parity bits). The receiving communication device employs a relatively small-sized memory to ensure a lower cost, smaller sized communication device (e.g., handset or user equipment such as a personal wireless communication device). Moreover, incremental redundancy is achieved in which successive transmissions need not include repeated information therein (e.g., a second transmission need not include any repeated information from a first transmission). Only when reaching an end of a block of bits or codeword to be transmitted, and when wrap around at the end of such block of bits or codeword occurs, would any repeat of bits be incurred within a later transmission. | 05-28-2009 |
| 20090199062 | Virtual limited buffer modification for rate matching - Virtual limited buffer modification for rate matching. A reduced-size memory module is employed within a communication device to assist in storage of log-likelihood ratios (LLRs) employed in accordance with turbo decoding. This architecture is also applicable to other types of error correction code (ECC) besides turbo code as well. The memory size is selected to match the number of coded bits (e.g., including information bits and redundancy/parity bits) that is included within a transmission. The received signals may be various transmissions made in accordance with hybrid automatic repeat request (HARQ) transmissions. When the LLRs calculated from a first HARQ transmission is insufficient to decode, those LLRs are selectively stored in the memory module. When LLRs corresponding to a second HARQ transmission is received, LLRs corresponding to both the first HARQ transmission and the second HARQ transmission are passed from the memory module for joint use in decoding. | 08-06-2009 |
| 20100226456 | METHOD AND SYSTEM FOR TRANSMITTER BEAMFORMING FOR REDUCED COMPLEXITY MULTIPLE INPUT MULTIPLE OUTPUT (MIMO) TRANSCEIVERS - Aspects of a method and system for transmitter beamforming for reduced complexity multiple input multiple output (MIMO) transceivers are presented. Aspects of the system may include a MIMO transmitter that computes a channel estimate matrix and decomposes the computed channel estimate matrix based on singular value decomposition (SVD). Singular values in a singular value matrix may be rearranged and grouped to generate a plurality of submatrices. In one aspect, each of the submatrices may be decomposed based on GMD at a MIMO transmitter, while a MIMO receiver may utilize a vertical layered space time (VLST) method. In another aspect, the MIMO transmitter may utilize Givens rotation matrices corresponding to each of the submatrices, while the MIMO receiver may utilize maximum likelihood (ML) detection. | 09-09-2010 |
| 20110002219 | GROUP IDENTIFICATION AND DEFINITION WITHIN MULTIPLE USER, MULTIPLE ACCESS, AND/OR MIMO WIRELESS COMMUNICATIONS - Group identification and definition within multiple user, multiple access, and/or MIMO wireless communications. A group identification definition field may be transmitted to a number of receiving devices for use in interpreting current or subsequently received packets that include a group identification field (group ID). The group ID can serve a number of functions such as indicating those receiving devices for which the packet is intended, the identification of fields within the packet corresponding to the various devices, certain parameters (e.g., code type, code rate, modulation type, etc.) associated with such fields within the packet, etc. The group identification definition field may be updated or modified to allow for modification of the manner in which subsequent packets, including respective group IDs, are processed. One of a variety of events may direct the group identification definition field may be updated or modified. | 01-06-2011 |
| 20110158362 | METHOD AND SYSTEM FOR A MULTIPLE-STREAM SFBC/STBC USING ANGLE FEEDBACK - Aspects of a method and system for a multiple-stream SFBC/STBC using angle feedback are presented. In one aspect of the method and system signals from M distinct spatial streams (N | 06-30-2011 |
| 20110164557 | METHOD AND SYSTEM FOR ITERATIVE DISCRETE FOURIER TRANSFORM (DFT) BASED CHANNEL ESTIMATION USING MINIMUM MEAN SQUARE ERROR (MMSE) TECHNIQUES - A method and system for iterative discrete Fourier transform (DFT) based channel estimation using minimum mean square error (MMSE) techniques are presented. Aspects of the method and system include a procedure for computing channel estimates in both the time domain and frequency domain (or mixed domain) using an iterative DFT method based on MMSE techniques. One aspect of the method and system may achieve low computational complexity and produce more accurate channel estimate values in low signal to noise ratio (SNR) regimes in comparison to conventional DFT-based channel estimation methods, which utilize least squares (LS) techniques. The method and system disclosed herein may be practiced in connection with a wide range of orthogonal frequency division multiplexing (OFDM) based systems, for example wireless local area networks (WLAN, for example IEEE 802.11 WLAN systems), and LTE systems. | 07-07-2011 |
| 20110164578 | METHOD AND SYSTEM FOR MULTIBAND USER SCHEDULING IN A MULTIPLE USER MULTIPLE INPUT MULTIPLE OUTPUT (MU-MIMO) COMMUNICATION SYSTEM - A method and system for multiband user scheduling in a multiple user multiple input multiple output (MU-MIMO) communication system are presented. In one aspect of the method and system a plurality of users in a user group may be selectively assigned to individual frequency bands among a plurality of frequency bands (referred to as a multiband). In an exemplary aspect, a modified greedy user scheduling algorithm may be utilized for assigning users, selected from the user group, to each of the frequency bands. Assigned users for a given frequency band are determined based on channel norm values computed for each of the users in the user group and on chordal distances computed between users in the user group. Pairs of users, selected from the user group, are assigned to each frequency band in the multiband to maximize aggregate data rate capacity for the MIMO communication system. | 07-07-2011 |
