Intel Corporation

Other

Hongming Zheng

Qinghua Li

Senjie Zhang

Shanshan Zheng

Guangjie Li

Alexei Vladimirovich Davydov

Xintian Eddie Lin

Shilpa Talwar

Yang-Seok Choi

Minnie Ho

Hongmei Sun

May Wu

Wu May

Xiaofei Dong

A MIMO beamforming method comprises receiving at a base station information regarding a difference between an ideal beamforming matrix and an averaged beamforming direction, using the information to construct a beamforming matrix at the base station, and performing a beamforming operation using the reconstructed beamforming matrix. Alternatively, the method comprises computing at a subscriber station an averaged beamforming direction, computing at the subscriber station a quantization index corresponding to a differential matrix in a differential codebook, and transmitting the quantization index across a wireless channel of the wireless network. The differential codebook may be constructed by identifying a codebook center and transforming a predefined codebook that is stored in a memory of a component of the wireless network.

MIMO beamforming method and method of constructing a differential codebook for a wireless network

Techniques for a precoding scheme for wireless communications are described. A method and apparatus may comprise a first device for a communications system to determine a beamforming structure for a closed loop transmit beamforming scheme using channel information, one or more scaling factors and one or more integers to represent a complex vector. The beamforming structure may include a codeword, a codebook and a codeword index. Other embodiments are described and claimed.

Method and apparatus using a base codebook structure for beamforming

An embodiment of the present invention provides a method, comprising using an adaptive codebook for beamforming for communications in wireless networks.

Techniques utilizing adaptive codebooks for beamforming in wireless networks

A PHY abstraction mapping between the link level and system level performance is presented based on mapping between the mean RBIR (Received Bit Information Rate) of the transmitted symbols and their received LLR values after symbol-level ML detection in SISO/MIMO wireless systems, such as WiMAX. In MIMO antenna configuration, the mapping is presented for both vertical and horizontal encoding. An embodiment of this invention provides the PER/BLER prediction in the actual system, enabling the system to use more aggressive methods to improve the system performance.

Link performance abstraction for ML receivers based on RBIR metrics

A base station is capable of unifying a single-user MIMO scheme with a multi-user MIMO scheme by receiving a Rank-1 CQI values from one or more subscriber stations. The base station also receives preceding vectors from the subscriber stations, and then determines which of the subscriber stations has a best Rank-1 CQI value. The base station then determines a beam forming matrix to use based at least in part on the vectors received from the subscriber station having the best Rank-1 CQI value. The base station then broadcasts data to the subscriber station using the beam forming matrix corresponding to the subscriber station having the best Rank-1 channel quality indicator to implement single-user MIMO in one or multiple streams to that subscriber station, or to the subscriber stations having the best Rank-2 channel quality indicators to implement multi-user MIMO in multiple streams.

Channel aware multiple user MIMO scheme unified with single user closed loop MIMO

Embodiments of system and method for generating channel estimates in a wireless network are generally described herein. Other embodiments may be described and claimed. In some embodiments, a linear interpolator uses refined cross-correlation and autocorrelation estimates and pilot subcarrier estimates to generate channel estimates for the current OFDM data symbol.

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Beijing, China

Hongming Zheng