Broadcom Corporation

At&t Intellectual Property Ii, L.p.

At&t Corp.

Other

Iii Holdings 1, LLC

Motia Inc.

Sony Corporation

Lockheed Martin Corporation

At&t Wireless Services, Inc.

Lucent Technologies Inc.

At&t Mobility Ii LLC

Empire Technology Development LLC

Corning Cable Systems

Cingular Wireless Ii, LLC

Indian Institute of Technology Delhi

Jack Winters

Nelson Ray Sollenberger

Vinko Erceg

Pieter Van Rooyen

Pieter Roux

Robert J Warner

Hui Luo

James June-Ming Wang

Severine E Catreux-Erceg

Severine Catreux

Moe Z Win

Andreas F Molisch

Ye Li

Yang-Seok Choi

Byoung-Jo J Kim

Justin C Chuang

James Han Wang

Michael J Luddy

Kin K Leung

Bruce E McNair

Jeng-Kuang Hwang

Janice Warner

Hui Lo

Michael Sauer

Huaiyu Zeng

Michael J Gans

Reinaldo A Valenzuela

Aravind Chamarti

Richard McConnell

Jin S Yu

Martin Clark

Martyn N Easton

Richard Stephen Vodhanel

Manuel J Carloni

Donna F Smith

Ranjan Kumar Mallik

Chau Chin Yang

Haining Fan

Huaiyu Dai

Severine Catreux-Erces

Meng Chang Doong

Ming-Yaug Yang

Manav R Bhatnagar

Ashok Waddodagi

Daniel H Moskowitz

Yuzheng Zhang

A wireless communication device may receive with one of N antennas a signal processing message indicating a number up to N signals to process. Each of the N antennas may used to receive a communication. The indicated number of up to N signals may be processed and data from the indicated number of up to N signals recovered.

Multi-antenna communication in a wireless network

A rate-adaptive method of communicating over a multipath wireless communication system uses multiple links such that each end of a link uses multiple transmit and receive antennas. A number of independent streams that are to be transmitted for each link is determined based on an overall system performance measure. In addition, the system may also jointly determine the best modulation, coding, power control, and frequency assignment for each link, based on an overall system performance measure. In OFDM systems, the number of independent streams, as well as the modulation, coding, and power control, may be determined on a tone-by-tone basis based on an overall system performance measure.

Rate-adaptive multiple input/multiple output (MIMO) systems

A wireless communication device may include processing modules and determine a hardware arrangement to facilitate performance for communication with a network. The hardware arrangement may include a first antenna or the first antenna and the second antenna, a first processing module and a second processing module, the first processing module including a single processing technique, the second processing module including first and second processing techniques. The first processing technique of the second processing module may be selected for the communication and adaptively selected to the second processing technique during the communication based on a cost.

Selecting modules for a wireless communication device

A method of optimizing BLoS communications between a first asset and a second asset using at least one of atmospheric troposcatter and ducting signal propagating phenomena includes transmitting a plurality of test signals from multiple antenna elements of the first asset into the atmosphere. At least a portion of the test signals are received at multiple antenna elements of the second asset. The second asset is configured to calculate a gain and phase shift of the channel between each transmitting and receiving antenna element, calculate optimized antenna weights for the transmitting and receiving antenna elements, and estimate a communication channel coherence time and coherence bandwidth. These parameters may be transmitted to the first asset and applied thereto for optimizing communications between the first and second assets.

System and method for improved beyond line-of-sight communications using natural phenomena

A system for providing underwater communication using orbital angular momentum (OAM) includes a transmitter that processes input data to be transmitted using pre-coding information based on current transmission channel conditions to maximize data rate based on channel conditions. A receiver receives a transmitted multiplexed OAM optical signal and analyzes the received signal for channel state information. The channel state information is used to determine a set of pre-coding values that allow the transmitter to pre-code the input data to maximize the data rate based on current channel conditions. The pre-coding values are mapped to a codebook entry which identifies the pre-coding values. The codebook entry is transmitted from the receiver to the transmitter. The transmitter uses the received codebook entry to identify pre-coding values used to process subsequent input data to be transmitted in order to enhance data rate across the transmit channel.

Apparatus and method for increased data rates in underwater communications using orbital angular momentum

A method for establishing wireless communication between a transmitter and a receiver in a wireless communication system is disclosed. The receiver includes an adaptive array that has at least two antennas. Each antenna receives a signal and produces a received signal. The transmitter includes at least two transmission channels for communicating the signal from the transmitter to the receiver. The wireless communication system suppresses interference at the receiver by applying an interference suppression technique when combining the received signals. The selection of a channel at the transmitter is based on the channel performance at the receiver for each transmission channel. The channel performance is based on a combining technique different from the interference suppression technique.

System and method for selecting a transmission channel in a wireless communication system that includes an adaptive antenna array

Aspects of the subject disclosure may include, for example, a device, process or software that determines an operation between a number of pairs of antennas of a set of antennas. A pair of antennas of the number of pairs of antennas is determined based on the operation. One antenna of the pair of antennas is eliminated from the set of antennas, which results in a reduced number of antennas remaining in the set of antennas. Each of the determining of the operation, the determining of the pair of antennas of the reduced number of antennas and the eliminating of the one antenna of the pair of antennas is repeated in response to the reduced number of antennas being greater than a predetermined number of antennas. Other embodiments are disclosed.

Method of selecting receive antennas for MIMO systems

A method for tracking an object of interest with a passive radar system using multiple radar sensors. The method includes the steps of receiving, with at least one controller, radar sensor characteristics and radar sensor locations data for a plurality of radar receivers occupying an area of interest. Data indicative of direct or reflected radar return signals from emitters of opportunity received by the plurality of radar receivers is also received at the controller. From this data, objects of interest are identified. The controller is configured to calculate optimized radar sensor parameters for the plurality of radar receivers for each identified object of interest, and transmit the same to the plurality of radar receivers for implementation. Radar return data received by the plurality of radar receivers using the optimized sensor parameters is provided to the central controller, and updated optimized sensor parameters according to the updated received radar return data are calculated.

System and method for operating passive radar

System and method for selecting a transmission channel in a wireless communication system that includes an adaptive array

A system and method for a single spatial stream based multiple-input multiple-output (MIMO) communication system in wireless MIMO channels with a non-zero mean or a fixed component is provided which utilizes deterministic beamforming in the transmitter and deterministic combining at the receiver. For transmission and reception of a data over MIMO channels, the method and system avoids the requirement of knowledge of the instantaneous channel values at the transmitter and the receiver. By assuming perfect knowledge of the mean value of the channel matrix at the transmitter, a beamforming vector is obtained for the transmitter. The receiver utilizes deterministic receive weights which are chosen using the channel statistics.

Deterministic processing for MIMO systems

A wireless multiple-input multiple output (MIMO) communication system includes signaling simulcasting. Base stations include a plurality of transmit antennas and terminals include a plurality of receive antennas to form MIMO channels. In one embodiment, a simulcasting MIMO wireless communication system includes orthogonal frequency division multiplexing (OFDM). This arrangement achieves the spectral efficiency advantages of OFDM and simulcasting.

Simulcasting MIMO communication system

A MIMO OFDM system includes a plurality of space-time encoders for encoding respective data blocks with independent space-time codes. The transformed data block signals are transmitted by a plurality of transmit antennas and received by a plurality of receive antennas. The received data is pre-whitened prior to maximum likelihood detection. In one embodiment, successive interference cancellation can be sued to improve system performance. Channel parameter estimation can be enhanced by weighting the channel impulse response estimates based upon a deviation from average.

MIMO OFDM system

Growing community of inventors

Middletown, NJ, United States of America

Jack Winters