Abstract:
PROBLEM TO BE SOLVED: To provide techniques to calibrate the downlink and uplink channels to account for differences in the frequency responses of the transmit and receive chains at an access point and a user terminal. SOLUTION: Pilots are transmitted on the downlink and uplink channels and used to derive estimates of the 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 means square error (MMSE) computation. The calibration may be performed in real-time based on over-the-air transmission. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide techniques for selecting a proper set of user terminals for simultaneous transmission, and transmitting and receiving data between the selected user terminals. SOLUTION: An uplink channel response matrix is obtained for each terminal and decomposed to obtain a steering vector for use by the terminal to transmit on the uplink. An "effective" uplink channel response vector is formed for each terminal based on its steering vector and its channel response matrix. Multiple sets of terminals are evaluated based on their effective channel response vectors to determine the best set for uplink transmission. Each selected terminal performs spatial processing on its data symbol stream with its steering vector and transmits its spatially processed data symbol stream to an access point. The multiple selected terminals simultaneously transmit their data symbol streams via their respective MIMO channels to the access point. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a technique to successively process received signals in a receiver unit and to adaptively process data in a transmitter unit based on channel state information available with an MIMO channel in an MIMO system for recovering transmitted data. SOLUTION: A successive cancellation receiver processing technique is used for processing the received signals and performing a number of iterations in order to provide a decoded data stream. For each iteration, input (e.g., received) signals for the iteration are processed to provide one or more symbol streams. One of the symbol streams is selected and processed to provide a decoded data stream. The interference due to the decoded data stream is removed (i.e., canceled) from the input signals provided to the next iteration. The channel characteristics are evaluated and informed to the source of the transmitter system to adjust processing (such as coding, modulation) of data prior to transmission (i.e., adaptation). 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 THE 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)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To achieve transmit diversity for a legacy single-antenna receiving device. SOLUTION: A multi-antenna transmitting entity transmits data to a single- or multi-antenna receiving entity using (1) a steered mode to direct the data transmission toward the receiving entity or (2) a pseudo-random transmit steering (PRTS) mode to randomize the effective channels observed by the data transmission across the subbands. The receiving entity does not need to have knowledge of the pseudo-random steering vectors or perform any special processing. For spatial spreading, the transmitting entity uses different pseudo-random steering vectors across the subbands and different steering vectors across the packet for each subband. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide methods and apparatus for enhancing estimation of channel response in a wireless communication system.SOLUTION: An apparatus comprises: a module to select one or more channels and determine an initial channel estimate on the basis of a received signal; a transformation module adapted to transform the initial channel estimate into an initial impulse response estimate; a filtering module adapted to generate a truncated initial impulse response estimate by setting to zero the samples in the initial impulse response estimate; and a maximum likelihood channel estimating module adapted to compute a time domain weighted impulse response estimate using the truncated time domain impulse response estimate for the selected channel and to compute a maximum likelihood channel estimate for the selected channel by transforming the time domain weighted impulse response estimate into the frequency domain.
Abstract:
PROBLEM TO BE SOLVED: To provide a data detection method with reduced complexity while achieving good performance in decoding of MIMO communication using a plurality of data streams.SOLUTION: Order of detecting data symbols sent in a MIMO communication is selected (412) based on at least one attribute of the data symbols, such as error probability, modulation scheme, and/or link margin. Sphere detection is performed (414) for the data symbols in the selected order. The log likelihood ratios (LLRs) for code bits of the data symbols are computed (416) based on candidate hypotheses for the data symbols.
Abstract:
PROBLEM TO BE SOLVED: To rapidly and accurately detect packets transmitted with different timing, frequency and transmit power, and acquire timing and frequency.SOLUTION: Based on signals from a receive antenna, using signals of electric power calculation 520 and a moving average 522 etc., a packet detector 526 determines the presence of a packet. Based on signals from delay-multiply-integrates 510 and 530, using phase calculation 534, a start-of-packet detector 536 detects the start of the packet. In addition, based on signals from delay-multiply-integrate 540, using phase calculation 544, a frequency error estimator 546 estimates a packet frequency error to be regarded as a frequency correction value. Similarly, an end-of-packet detector 556 detects the end of the packet.
Abstract:
PROBLEM TO BE SOLVED: To provide an OFDM system for minimizing periodic prefix overheads and maximizing packing efficiency.SOLUTION: System traffic is classified into different categories. For each category, OFDM symbols of proper sizes are selected based on an expected payload size for the traffic in the category. For example, control data is transmitted by using the OFDM symbols of a first size, user data is transmitted by using the OFDM symbols of the first size and a second size, and pilot data is transmitted by using the OFDM symbols of a third size or the first size. In one exemplary design, a small OFDM symbol is utilized for the pilot and control data transmission, and a large OFDM symbol and the small OFDM symbol are utilized for transport channels used to send the user data.
Abstract:
PROBLEM TO BE SOLVED: To provide various techniques for performing sphere detection to recover data symbols sent in a MIMO transmission.SOLUTION: In an aspect, sphere detection is performed for data symbols generated with at least two modulation schemes. In another aspect, sphere detection is performed for the data symbols in an order based on at least one attribute of the data symbols such as error probabilities of the data symbols, modulation schemes used for the data symbols, and link margins for the data symbols. In yet another aspect, rates for multiple data streams detected with sphere detection are selected based on channel state information. The channel state information includes a channel estimate, a noise estimate, an interference estimate, a power measurement, and a signal quality estimate. After signal qualities of the data streams are estimated based on an upper triangular matrix used for sphere detection and/or an assumption that interference from data streams already detected is canceled, the rates for the data streams are selected based on the estimated signal qualities.