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.
Abstract:
PROBLEM TO BE SOLVED: To provide a receiver for a wireless communication network with an extended range.SOLUTION: Techniques for detecting and demodulating a signal/transmission are described. Signal detection is performed in multiple stages using different types of signal processing, e.g., using time-domain correlation for a first stage, frequency-domain processing for a second stage, and time-domain processing for a third stage. For the first stage, products of symbols are generated for at least two different delays, correlation between the products for each delay and known values is performed, and correlation results for all delays are combined and used to declare the presence of a signal. For demodulation, the timing of input samples is adjusted to obtain timing-adjusted samples. A frequency offset is estimated and removed from the timing-adjusted samples to obtain frequency-corrected samples, which are processed with a channel estimate to obtain detected symbols.
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 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 provide a method of executing closed-loop control for an MIMO system. SOLUTION: Rate control of an MIMO system is achieved using an inner loop that selects rates and an outer loop that regulates the operation of the inner loop. For the inner loop, SNR estimates are obtained on a data stream basis based on received pilot symbols and/or received data symbols. An effective SNR is derived for each data stream based on the SNR estimates, a diversity order, an MIMO backoff factor, and an outer loop backoff factor for the data stream. The rates are then selected for the data streams based on the effective SNRs for the data streams. The outer loop adjusts the outer loop backoff factor for each data stream based on the performance (e.g., packet errors and/or decoder metrics) for the data stream. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a technology for detecting and demodulating data transmission in a wireless communication system. SOLUTION: In one aspect, a decision-directed detector detects data transmissions in a received signal by utilizing received data symbols and received pilot symbols. The decision-directed detector may be designed to perform differential detection in a frequency domain or coherent detection in a time domain, and may be used with multi-carrier modulation (e.g., OFDM). In another aspect, an adaptive threshold is used to perform the detection of received data transmissions. A threshold may be determined for each data transmission hypothesized to have been received. The threshold may be computed, for example, based on the signal positive noise energy of the hypothesized data transmission. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To more efficiently derive eigenvectors used for spatial processing in MIMO systems. SOLUTION: The present invention relates to a method for deriving a matched filter matrix based on a steered reference. The method includes: acquiring a plurality of sets of received symbols regarding the steered reference received via a first link of MIMO and generated based on a plurality of steering vectors; deriving a matched filter matrix based on the plurality of sets of received symbols, a plurality of row vectors of the matched filter matrix including a plurality of eigenvectors. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method, an apparatus and a system for medium access control. SOLUTION: Embodiments adapted to MAC processing for the efficient use of a high throughput system are disclosed. In one embodiment, an apparatus includes a first layer for receiving one or a plurality of packets from one or plurality of data flows and for generating one or a plurality of first layer Protocol Data Units (PDUs) from one or the plurality of packets. In another embodiment, a second layer is arranged for generating one or a plurality of MAC frames on the basis of one or the plurality of MAC layer PDUs. Moreover, in another embodiment, a MAC frame is arranged for transmitting one or a plurality of MAC layer PDUs. The MAC frame may include a control channel for transmitting one or a plurality of allocations. The MAC frame may also include one or a plurality of traffic segments according to allocation. 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