Abstract:
In one of its aspects the technology disclosed herein concerns a method of operating a receiver. The method comprises performing symbol detection by (1) receiving a frequency-domain signal that comprises contribution from time-domain symbols transmitted from one or more transmit antennas; (2) generating a transformation matrix and a triangular matrix based on a frequency domain channel response; (3) using the transformation matrix to transform the received frequency-domain signal to obtain a transformed frequency-domain signal; and (4) performing symbol detection by performing plural stages of detection, each stage of detection using elements of the transformed frequency-domain received signal associated with the detection stage.
Abstract:
A system and method in a radio receiver for joint synchronization and noise covariance estimation of a received signal. A spatially and temporally stacked signal model, whereby successive samples of temporally adjacent received signal vectors and corresponding training vectors are stacked, is used in the derivation of the estimation problem. The Toeplitz structure of the channel response matrix is neglected in the formulation of the estimation problem. The resulting estimator jointly estimates a synchronization position, a channel response matrix, and a noise covariance matrix. An estimate of a whitened channel is then computed based on the noise covariance matrix and the estimate of the channel response matrix.
Abstract:
Accurate downlink channel estimates are calculated based on infrequently transmitted Channel State Information (CSI) feedback data from a UE 20. A plurality of non-uniformly spaced digital CSI feedback samples, representing the frequency response of a downlink communication channel, is received from the UE. The received CSI feedback samples are demodulated and inverse quantized. A time domain tap delay channel model is generated from the inverse quantized CSI feedback samples. The time domain tap delay channel model may be frequency-transformed to obtain a reconstructed frequency response of the downlink communication channel in the frequency domain. Alternatively, channel delays may be estimated based on prior delays and/or known references signals transmitted on the uplink. Channel estimates between CSI reporting instances may be predicted, such as by a sample & hold or a linear predictor. The delays may be presumed fixed, and Kalman filter coefficients evolved over time.
Abstract:
Transmission scheme for the uplink of FDMA systems that improves performance in an interference-dominated system by using a pilot scheme that provides enough information so that channel estimates can be obtained for a particular user, but which at the same time makes it possible to use pilot patterns that are different in different cells so that co-channel interference is mitigated. A codeword is used to position a set of pilot symbols within a set of subcarriers wherein each subcarrier has a first pilot time slot and a second pilot time slot associated with one or more data time slots. The set of subcarriers are identified on which to transmit the composite signal and the first pilot time slots and the second pilot time slots are filled with the pilot symbols in accordance with the codeword. The composite signal is then formatted as a combination of modulated data and pilot signals.
Abstract:
According to methods and apparatus taught herein, user equipments (UEs) in a wireless communication network are scheduled based on determining received signal power densities for a plurality of UEs to be scheduled, allocating UEs to scheduling intervals based on a sorting of their received signal power densities, and assigning UEs in the same scheduling interval to mirror frequency bands within an available frequency spectrum according to the sorting. For example, UEs to be scheduled are assigned to a given scheduling interval in rank order of their received signal power densities until the scheduling interval is fully allocated. Remaining UEs are assigned in rank order to one or more other scheduling intervals, and the process may be repeated or otherwise carried out on an ongoing basis. Such an allocation scheme tends to minimize both adjacent frequency and mirror frequency interferences between UEs scheduled in the same interval.
Abstract:
A method for receiving transmissions includes receiving a first symbol-spaced baseband signal corresponding to first portions of first and second encoded data sequences transmitted over first and second baseband channels, and receiving a second symbol-spaced baseband signal corresponding to second portions of the first and second encoded data sequences transmitted over the first and second baseband channels. The first and second symbol-spaced baseband signals are combined to provide a combined baseband signal, and the combined baseband signal is prefiltered to provide minimum phase channel characteristics. The prefiltered combined baseband signal is equalized to provide an estimate of a data sequence. Related receivers are also discussed.
Abstract:
A receiver (300) for a communication device (102) includes a multiple symbol differential demodulator (304, 316) and a convolutional decoder (308) and a feedback loop (313). The feedback is used to improve the quality of the demodulation during a second pass through the demodulator. The demodulator has a trellis structure which reduces complexity.
Abstract:
A UE in a wireless communication network transmits succinct, direct channel state information to the network, enabling coordinated multipoint calculations such as joint processing, without substantially increasing uplink overhead. The UE receives and processes reference symbols over a set of non-uniformly spaced sub-carriers, selected according to a scheme synchronized to the network. The frequency response for each selected sub-carrier is estimated conventionally, and the results quantized and transmitted to the network on an uplink control channel. The non-uniform sub-carrier selection may be synchronized to the network in a variety of ways.
Abstract:
Systems and method are disclosed for graph-based distributed parameter coordination in a communication network. In general, discrete local parameters to be coordinated among communication nodes in the network and their respective performance metrics, or costs, are modeled using a factor graph. Based on the factor graph, a variant of the sum-product algorithm, namely the min-sum algorithm, is applied in order for the communication nodes, through iterative message passing with their neighboring communication nodes, to decide upon optimal values for the local parameters for the communication nodes that collectively optimize a global performance metric across the communication network. In one embodiment, the communication network is a wireless communication network. In one specific embodiment, the wireless communication network is a cellular communication network.
Abstract:
A transmitter, receiver, and method for channel estimation for a Multiple-Input Multiple-Output (MIMO) communication system in which the transmitter includes a multiplicity of transmit antennas spaced such that spacing between adjacent antennas provides a spatial correlation coefficient greater than a threshold level. The transmitter selects a subset of the multiplicity of transmit antennas for transmitting the pilot reference signals. The pilot reference signals are transmitted only from the selected subset of transmit antennas to the receiver. The receiver includes a channel estimator configured to derive a channel estimation for all of the multiplicity of transmit antennas using the received pilot reference signals and known or estimated spatial correlation among the multiplicity of transmit antennas.