Kai Frank Goebel - Mountain View CA, US Piero Patrone Bonissone - Schenectady NY, US Weizhong Yan - Clifton Park NY, US Neil Holger White Eklund - Schenectady NY, US Feng Xue - Clifton Park NY, US Hai Qiu - Clifton Park NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06F 11/30 G21C 17/00
US Classification:
702184
Abstract:
A method to predict equipment life is disclosed. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.
System And Method For Equipment Remaining Life Estimation
Kai Frank Goebel - Mountain View CA, US Piero Patrone Bonissone - Schenectady NY, US Weizhong Yan - Clifton Park NY, US Neil Holger White Eklund - Schnectady NY, US Feng Xue - Clifton Park NY, US
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06F 17/18
US Classification:
702181
Abstract:
A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.
Dynamic Multi-Access Relaying For Wireless Networks
Feng Xue - Santa Clara CA, US Sumeet Sandhu - Santa Clara CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04B 7/14
US Classification:
370328, 4554221
Abstract:
Methods, apparatuses and systems for communicating in a wireless network are disclosed. One embodiment includes a method for communication in a wireless network that comprises determining a signal-to-noise ratio (SNR) for channels between a base station, one or more relay stations, and a user and selecting a relay station based on the determined SNRs. Embodiments may also include determining a time sharing parameter and a total transmitting time, transmitting by the base station to the selected relay station for a first duration, and transmitting simultaneously by the base station and relay station using multi-access code for a second duration. The simultaneous transmission may be adapted to be decoded utilizing joint decoding with interference cancellation. Other embodiments are disclosed and claimed.
Methods And Arrangements For Selection Of A Wireless Transmission Method Based Upon Signal To Noise Ratios
Feng Xue - Santa Clara CA, US Jun Shi - San Jose CA, US Sumeet Sandhu - Santa Clara CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04W 4/00
US Classification:
370332, 370252
Abstract:
Methods and arrangements for wireless communications are contemplated. Embodiments include transformations, code, state machines or other logic to determine the signal to noise ratios (SNRs) of multiple stations associated with an access point in a wireless network. The embodiments may also include selecting whether one of the stations communicates with the access point by an orthogonal frequency division multiplexing (OFDM) transmission method or a multiple-access joint coding/decoding transmission method, the selecting based upon the SNRs and communicating the selected transmission method to the station of the multiple stations. Some embodiments may include determining an SNR threshold level, selecting the MAC transmission method if the SNR of at least one of the multiple stations is below the SNR threshold level, and selecting the OFDM transmission method if the SNRs of all of the multiple stations are above the SNR threshold level. Other embodiments are described and claimed.
Wireless Network And Method For Adaptive Opportunistic Clustering For Interference Alignment In Wireless Networks
Stephanie F. Pereira - Mississauga, CA Feng Xue - Santa Clara CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04J 1/12 H04J 1/00 H04W 4/00
US Classification:
370201, 370208, 370328, 370329
Abstract:
Embodiments of a central scheduler and method for adaptive clustering are generally described herein. In some embodiments, a cluster of transmitter-receiver pairs is selected based on minimum singular values calculated from direct channel information and the selected pairs are instructed to perform an interference alignment technique.
Device, System, And Method Of Resource Allocation In A Wireless Network
Device, system, and method of resource allocation in a wireless network. Embodiments include optimal space-frequency architectures for very high peak rates in wireless systems. For example, an apparatus for wireless communication in a power-limited, very wideband system includes a wireless communication device having a media access controller (MAC) and a physical layer (PHY) that are adapted for a multiple-input-multiple-output (MIMO) orthogonal frequency-division multiple access (OFDMA) communication scheme; a plurality of antennas, operationally coupled to said device, to send and receive wireless communication signals according to the MIMO-OFDMA communication scheme; and a resource allocator, to allocate transmission resources of the device into desired MIMO channels optimized according to at least one of signal-to-noise ratio (SNR), bandwidth, number of users, and signal-to-noise-plus-interference ratio (SINR).
Encoding/Decoding Technique For Rebroadcasting Lost Packets
Feng Xue - Santa Clara CA, US Xue Yang - Portland OR, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04L 1/18 G08C 25/00 H03M 13/00
US Classification:
714748, 714752
Abstract:
When retransmitting lost packets of data to multiple devices in a wireless network, the original sequence of packets containing all the lost packets may be encoded into a smaller number of packets for the retransmission. These encoded packets may be collectively addressed to all the intended receiving devices through broadcast or multicast addressing. These encoded packets may then be selectively decoded by the receiving devices, using the successfully received previous packets as part of the decoding process. Repetitive exclusive OR algorithms may be used for encoding and decoding.
Distributed Adaptive Resource Allocation To Enhance Cell Edge Throughput
Wendy Wong - San Jose CA, US Qinghua Li - San Ramon CA, US Feng Xue - Newbury Park CA, US
Assignee:
Intel Corporation - Santa Clara CA
International Classification:
H04M 1/00 H04W 72/00
US Classification:
4555501, 4554522
Abstract:
Embodiments of a system and methods for distributed adaptive resource allocation to enhance cell edge throughput are generally described herein. Other embodiments may be described and claimed.
Isbn (Books And Publications)
Scaling Laws for Ad-hoc Wireless Networks: An Information Theoretic Approach
"[American ambassadors] will continue to speak up in defense of social activists," he said, referring to the case of artist Ai Weiwei, who was detained on Sunday. He also mentioned Nobel Prize winner Liu Xiaobo, who has been imprisoned for subversion, and American geologist Feng Xue, who allegedly stole Chinese state secrets.