Abstract:
PROBLEM TO BE SOLVED: To provide techniques for iterative detection and decoding for a MIMO (Multi Input Multi Output)-OFDM (Orthogonal Frequency Division Multiplexing) system. SOLUTION: The iterative detection and decoding is performed by iteratively passing soft (multi-bit) "a priori" information between a detector and a decoder. The detector performs a detection function that is complementary to the symbol mapping and provides soft-decision symbols. "Extrinsic information" in the soft-decision symbols is then decoded to provide its extrinsic information, which comprises the a priori information used by the detector in the detection process. The detection and decoding may be iterated a number of times. The soft-decision symbols and the a priori information may be represented using log-likelihood ratios (LLRs). Techniques are provided to reduce the computational complexity associated with deriving the LLRs, including interference nulling to isolate each transmitted signal and "dual-maxima" approximation. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method of signal processing using channel eigenmode decomposition and channel inversion for MIMO systems. SOLUTION: At a transmitter, channel eigen-decomposition is performed to determine eigenmodes of a MIMO channel and to derive a first set of steering vectors, channel inversion is performed to derive weights used to minimize ISI (inter-symbol interference) distortion, and water-pouring is performed to derive scaling values indicative of the transmit powers allocated to the eigenmodes. The first set of steering vectors, weights and scaling values are used to derive a pulse-shaping matrix, which is used to precondition modulation symbols. At a receiver, channel eigen-decomposition is performed to derive a second set of steering vectors, which are used to derive a pulse-shaping matrix used to condition received symbols such that orthogonal symbol streams are recovered. 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 a method in which a control channel used for transmitting control information is partitioned into a plurality of subchannels each of which is operated at a specific data rate. SOLUTION: For each of one or more user terminals, one of subchannels is selected based on one or more selection criteria for transmitting control information from an access point to the each user terminal. Control information is transmitted from the access point to a user terminal on a particular subchannel selected for the each user terminal. At the user terminal, one or more subchannels are decoded to obtain control information designated for the user terminal. COPYRIGHT: (C)2010,JPO&INPIT
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 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.