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 to process data for transmission in a time division duplexed (TDD) communication system. SOLUTION: A frequency response of a forward link is estimated in a base station on the basis of reverse link transmissions (e.g., pilots) from a terminal. Prior to a data transmission on the forward link, the base station determines a reverse transfer function on the basis of the pilots transmitted by the terminal, "calibrates" the reverse transfer function with a calibration function to derive an estimate of a forward transfer function, and preconditions modulation symbols on the basis of weights derived from the forward transfer function. In another aspect, the terminal estimates the "quality" of the forward link and provides this information to the base station. The base station then uses the information to properly code and modulate data prior to transmission such that the transmitted data is received by the terminal at the desired level of performance. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
Techniques to efficiently derive a spatial filter matrix are described. In a first scheme, a Hermitian matrix is iteratively derived based on a channel response matrix, and a matrix inversion is indirectly calculated by deriving the Hermitian matrix iteratively. The spatial filter matrix is derived based on the Hermitian matrix and the channel response matrix. In a second scheme, multiple rotations are performed to iteratively obtain first and second matrices for a pseudo-inverse matrix of the channel response matrix. The spatial filter matrix is derived based on the first and second matrices. In a third scheme, a matrix is formed based on the channel response matrix and decomposed to obtain a unitary matrix and a diagonal matrix. The spatial filter matrix is derived based on the unitary matrix, the diagonal matrix, and the channel response matrix.
Abstract:
A wireless communication network supports 802.11b/g and a range extension mode, which supports at least one data rate lower than the lowest data rate in 802.11b/g. A transmitting station (which may be an access point or a user terminal) includes first and second processors. The first processor performs differential modulation and spectral spreading for a first set of at least one data rate (e.g., 1 and 2 Mbps) supported by 802.11b/g. The second processor performs forward error correction (FEC) encoding, symbol mapping, and spectral spreading for a second set of at least one data rate (e.g., 250, 500, and 1000 Kbps) supported by the range extension mode. The transmitting station can send a transmission at a data rate supported by either 802.11b/g or the range extension mode, e.g., depending on the desired coverage range for the transmission. A receiving station performs the complementary processing to recover the transmission.
Abstract:
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. The phases of the detected symbols are corrected to obtain phase-corrected symbols, which are demodulated, deinterleaved, and decoded.
Abstract:
For eigenvalue decomposition, a first set of at least one variable is derived based on a first matrix being decomposed and using Coordinate Rotational Digital Computer (CORDIC) computation. A second set of at least one variable is derived based on the first matrix and using a look-up table. A second matrix of eigenvectors of the first matrix is then derived based on the first and second variable sets. To derive the first variable set, CORDIC computation is performed on an element of the first matrix to determine the magnitude and phase of this element, and CORDIC computation is performed on the phase to determine the sine and cosine of this element. To derive the second variable set, intermediate quantities are derived based on the first matrix and used to access the look-up table. Jacobi rotations are performed using CORDIC processing.
Abstract:
Techniques for extending transmission range in a WLAN are described. In an aspect, a receiving station determines the frequency error between a transmitting station and the receiving station based on one or more initial packet transmissions and corrects this frequency error for subsequent packet transmissions received from the transmitting station. The residual frequency error is small after correcting for the frequency error and allows the receiving station to perform coherent accumulation/ integration over a longer time interval to detect for a packet transmission. The longer coherent accumulation interval improves detection performance, especially at low SNRs for extended transmission range. The techniques may be used whenever the receiving station knows the identity of the transmitting station, e.g., if the subsequent packet transmissions are scheduled. In another aspect, a preamble is generated with a longer spreading sequence and sent with each packet transmission.
Abstract:
A transmitting entity transmits a "base" pilot in each protocol data unit (PDU). A receiving entity is able to derive a sufficiently accurate channel response estimate of a MIMO channel with the base pilot under nominal (or most) channel conditions. The transmitting entity selectively transmits an additional pilot if and as needed, e.g., based on channel conditions and/or other factors. The additional pilot may be adaptively inserted in almost any symbol period in the PDU. The receiving entity is able to derive an improved channel response estimate with the additional pilot. The transmitting entity sends signaling to indicate that additional pilot is being sent. This signaling may be embedded within pilot symbols sent on a set of pilot subbands used for a carrier pilot that is transmitted across most of the PDU. The signaling indicates whether additional pilot is being sent and possibly other pertinent information.
Abstract:
Techniques for detecting other stations in a power efficient manner are described. A station may operate in a passive mode or a search mode. In the passive mode, the station receives for one receive period in each time interval. In the search mode, the station transmits for a series of transmit periods in one time interval, then receives for one receive period in the next time interval, and repeats the transmit/receive cycle. In an example scenario, station A operates in the search mode and sends a series of transmissions during its transmit periods. Station B operates in the passive mode, receives a transmission from station A during its receive period, switches to the search mode, and sends a series of transmissions for one time interval. Station A receives a transmission from station B during its receive period. After detecting one another, stations A and B may perform synchronization.
Abstract:
Techniques for performing phase correction for wireless communication are described. Received pilot symbols and received data symbols may be obtained from an orthogonal frequency division multiplexing (OFDM) and/or multiple-input multiple-output (MIMO) transmission. First phase information is obtained based upon the received pilot symbols. Second phase information is obtained based upon the received data symbols. The phase of the received data symbols is corrected based upon the first and second phase information (directly and/or indirectly). For example, the phase of the received data symbols may be corrected based upon the first phase information, detection may be performed on the phase corrected data symbols to obtain estimated data symbols, the second phase information may be obtained based upon the estimated data symbols, and the phase of the estimated data symbols may be corrected based upon the second phase information. The phase correction may also be performed in other manners.