Abstract:
PROBLEM TO BE SOLVED: To efficiently perform spatial processing for improving characteristics in a multiple input multiple output system. SOLUTION: A first spatial filter matrix for a first transmission span is derived, a first initial spatial filter matrix for a second transmission span is determined on the basis of the first spatial filter matrix, a second spatial filter matrix for the second transmission span is derived on the basis of the first initial spatial filter matrix, thereby deriving spatial filter matrices in a wireless MIMO communication system. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide techniques to calibrate downlink and uplink channels to account for differences in frequency responses of transmission and reception chains at an access point and a user terminal. SOLUTION: Pilots are transmitted on downlink and uplink channels and used to derive estimates of downlink and uplink channel responses, respectively. Two sets of correction factors are then determined based on the estimates of the downlink and uplink channel responses. A calibrated downlink channel is formed by using a first set of correction factors for the downlink channel, and a calibrated uplink channel is formed by using a second set of correction factors for the uplink channel. The first and second sets of correction factors may be determined using a matrix-ratio computation or a minimum mean square error (MMSE) computation. The calibration may be performed in real time based on over-the-air transmission. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide techniques with which beam-steering and beam-forming are performed so as to transmit data on a single eigenmode in a wideband multiple-input channel. SOLUTION: Depending on how steering vectors are defined, beam-steering or beam-forming is achieved for each subband. Total transmit power is allocated to the subbands on the basis of a particular power allocation scheme (e.g., full channel inversion, selective channel inversion, water-filling or uniform). A scaling value is then obtained for each subband on the basis of its allocated transmit power. Data to be transmitted are coded and modulated to provide modulation symbols. The modulation symbols to be transmitted on each subband are scaled with the subband's scaling value and further preconditioned with the subband's steering vector. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a spatial processing method for a receiver in a MIMO system.SOLUTION: In the spatial processing method, multiple received symbol streams are obtained for multiple data symbol streams transmitted through the multiple spatial channels of a MIMO channel. Spatial processing is performed in a transmitter with steering vectors, that is, estimates of transmitter steering vectors required to orthogonalize the multiple spatial channels, and spatial processing is performed on the multiple received symbol streams with a spatial filter to obtain symbol streams for multiple filters, that is, estimates of the multiple data symbol streams. Further, in the spatial processing method, response is obtained for the spatial filter based on an MMSE criterion for minimizing a mean square error between the symbol streams for the filters and the data symbol streams.
Abstract:
PROBLEM TO BE SOLVED: To give the improved property and higher flexibility of a communicating system, by a MIMO system having multiple spatial multiplexing modes. SOLUTION: The communicating system includes (1) a steered mode of a single user which transmits multiple data streams by an orthogonal spatial channel to a single receiver, (2) a non-steered mode of a single user which transmits multiple data streams from multiple antennas to a single receiver without any spatial processing in a transmitter, (3) steered modes of multi-users which transmit multiple data streams to multiple receivers at the same time while being accompanied by a spatial processing in a transmitter, and (4) non-steered modes of multi-users which transmit multiple data streams from multiple antennas to multiple receivers having multiple antennas without any spatial processing in a transmitter. Each spatial multiplexing mode is selected from multiple spatial multiplexing modes supported by the system to the set of the terminal of each user. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide multicarrier transmission using a plurality of symbol lengths. SOLUTION: System traffic may be arranged into different categories. For each category, OFDM symbols of proper sizes may be selected based on the expected payload size for the traffic in that category. For example, control data may be transmitted using OFDM symbols of a first size, user data may be transmitted using OFDM symbols of the first size and a second size, and pilot data may be transmitted using OFDM symbols of a third size or the first size. In one exemplary design, a small OFDM symbol is utilized for pilot and for transport channels used to send control data, and a large OFDM symbol and the small OFDM symbol are utilized for transport channels used to send user data. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To perform continuous beamforming for a MIMO-OFDM system. SOLUTION: A transmitting entity performs spatial processing on data symbols for each subband with an eigenmode matrix, a steering matrix, or an identity matrix. The data symbols may be sent on orthogonal spatial channels by using the eigenmode matrix, on different spatial channels by using the steering matrix, or from different transmit antennas by using the identity matrix. The transmitting entity further performs beamforming on the spatially processed symbols, in the frequency domain or time domain, prior to transmission from the multiple transmit antennas. A receiving entity performs the complementary processing to recover the data symbols sent by the transmitting entity. Moreover, the receiving entity may derive a spatial filter matrix for each subband based on a MIMO channel response for that subband and perform receiver spatial processing for the subband by using the spatial filter matrix. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide closed-loop rate control for data transmission in a plurality of parallel channels. SOLUTION: An internal loop estimates channel conditions of communication links, and selects data rates suitable for each of the plurality of parallel channels based on channel estimation. Reception SNRs are calculated based on the channel estimation by parallel channels; operation SNRs are calculated, based on the reception SNRs and SNR offsets of the parallel channels; and the data rates are selected, based on the operation SNRs of the parallel channels and one set of necessary SNRs of one set of data rates supported by systems. An external loop estimates the quality of the data transmission received by the plurality of parallel channels to adjust the operation of the internal loop. For example, the SNR offset for each parallel channel is adjusted, based on the statuses of packets received by the parallel channels. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide techniques for implementing a multiple-access hybrid OFDM-CDMA system that may be used to provide wireless voice and/or data communications. SOLUTION: In one aspect of a multiple-access OFDM-CDMA system, data spreading is performed in a frequency domain by spreading each data stream with a respective spreading code selected from a set of available spreading codes. To support multiple access, system resources may be allocated and de-allocated to users (e.g., spreading codes may be assigned to users as needed, and transmit power may be allocated to users). Variable rate data for each user may be supported via a combination of spreading adjustment and transmit power scaling. Interference control techniques are also provided to improve system performance via power control of downlink and/or uplink transmissions to achieve the desired level of performance while minimizing interference. A pilot may be transmitted by each transmitter unit to assist the receiver units perform acquisition, timing synchronization, carrier recovery, handoff, channel estimation, coherent data demodulation, and so on. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide time-domain transmit and receive processing using channel eigen-mode decomposition for MIMO systems. SOLUTION: In an aspect, a time-domain implementation is provided which uses frequency-domain singular value decomposition and "water-pouring" results to derive time-domain pulse-shaping and beam-steering solutions at the transmitter and receiver. The singular value decomposition is performed at the transmitter to determine eigen-modes (i.e., spatial subchannels) of the MIMO channel and to derive a first set of steering vectors used to "precondition" modulation symbols. The singular value decomposition is also performed at the receiver to derive a second set of steering vectors used to precondition the received signals, such that orthogonal symbol streams are recovered at the receiver, which can simplify the receiver processing. COPYRIGHT: (C)2009,JPO&INPIT