Abstract:
A method of extracting an information bearing signal .omega.(n) from a base-band signal in the form of an inverse function with a digital signal processor. The processor includes memory and utilizes a minimum number of instructions stored in the memory. The base-band waveform comprises a plurality of complex-valued samples having respective I and Q components. The method includes the steps of receiving a first sample at an instant n having respective I(n) and Q(n) components and defining an interval for evaluating potential values for the I(n) and Q(n) components. Next, a step of transforming said I(n) and Q(n) components is performed to have respective threshold values residing in the predefined interval. Then, a step of estimating the transformed components with a series of non-inverted polynomial functions is carried out over the predefined interval. The method proceeds by extracting the information-bearing signal with the digital signal processor according to the instructions to evaluate the series of non-inverted polynomial functions.
Abstract:
Multipoint broadcasting relying on channel reciprocity in a TDD network requires that the broadcasters be calibrated. In the cases where the relative amplitude profiles and nonlinear phases are time-invariant or slow-varying, broadcaster calibration reduces to phase synchronization. Methods and apparatus are described that provide broadcaster calibration and phase synchronization with terminal feedback and overcome the drawbacks of self-calibration. The methods and apparatus are capable of calibrating hundreds of broadcaster antennas in massive antenna applications while maintaining an extremely low overhead. Applications of the described methods and apparatus include multipoint broadcasting in wireless networks, also known as coordinated multipoint transmission, or CoMP, in LTE-A (long-term evolution, advanced) networks, and distributed MIMO, massive MIMO, massive beamforming, etc., in other networks including 5G and 802.11. Applications also include frequency and phase synchronization of a cluster of wireless devices.
Abstract:
Multipoint broadcasting relying on channel reciprocity in a TDD network requires that the broadcasters be calibrated. In the cases where the relative amplitude profiles and nonlinear phases are time-invariant or slow-varying, broadcaster calibration reduces to phase synchronization. Methods and apparatus are described that provide broadcaster calibration and phase synchronization with terminal feedback and overcome the drawbacks of self-calibration. The methods and apparatus are capable of calibrating hundreds of broadcaster antennas in massive antenna applications while maintaining an extremely low overhead. Applications of the described methods and apparatus include multipoint broadcasting in wireless networks, also known as coordinated multipoint transmission, or CoMP, in LTE-A (long-term evolution, advanced) networks, and distributed MIMO, massive MIMO, massive beamforming, etc., in other networks including 5G and 802.11. Applications also include frequency and phase synchronization of a cluster of wireless devices.
Abstract:
Large-dimension MIMO and multipoint broadcasting in new generation of wireless networks create high demand for various types of pilots in transmission signals for channel estimation, data demodulation, synchronization, etc. More pilots, as in existing networks, use more resources and thus diminish the network capacity. Methods and apparatus of heterogeneous pilots are disclosed. A heterogeneous pilot has its own signal characteristics that are different from the primary information-bearing signals in the network. Heterogeneous pilots can be spread-spectrum signals in an OFDM-based wireless network. Heterogeneous pilots use no network resources, and can be as many as desired, and can be designed to have versatile utilities. Also described are methods and apparatus of heterogeneous pilot cancellation that minimizes the interference of heterogeneous pilots on the primary information-bearing signals. Applications of the described methods and apparatus include OFDM-based wireless cellular networks, such as LTE-advanced and Wireless LAN.
Abstract:
MU-MIMO and CoMP have potentials to increase the cell capacity by many folds. Interferences and channel feedback overhead, however, severely limits such potentials. Method of reference signal-based grid of beams (RS-GOB) is described. RS-GOB distributes the effective antennas of a base station into multiple beams, thereby significantly reducing the feedback overhead of CoMP and making effective use of CoMP to turn the interferences into cooperating useful signals. RS-GOB also reduces the need for small HetNet cells, which mitigates the interferences of small HetNet cells on macro cells.
Abstract:
A method is described that enables maximum-likelihood (ML) demodulation for MIMO communications over frequency-selective channels. An equalizer is typically employed to suppress inter-symbol interference (ISI) due to frequency-selectiveness of the channel, but the noise of the equalizer output can be highly correlated such that standard ML-MIMO demodulations cannot directly apply. The method comprises first constructing equivalent post-equalization MIMO channel and noise covariance matrix, and then de-correlating the equalizer output so that ML or near-ML MIMO demodulations can be applied to improve the performance. Additionally, successive ISI cancellation (SIC) is described for further performance improvement.
Abstract:
A system employs a modified Jakes' fading model to generate a fading signal having substantially equivalent autocorrelation values for in-phase (I) and quadrature-phase (Q) components. A Walsh transform may be applied to generate multiple, uncorrelated I and Q components, for multiple fading signals. A complex Rayleigh fading signal according to the modified complex Jakes fading model is provided by a generator having M pairs of I and Q paths. Each pair of I and Q paths includes a corresponding complex carrier generator 201 (M an integer and 1≦n≦M) generating a complex carrier signal with frequency, &ohgr;n, where &ohgr;n is cos ((4n−3&pgr;)/4M). Each of the I paths has a circuit that separates the real component of the corresponding carrier signal to provide a real carrier signal cos (&ohgr;nt). Similarly, each of the Q paths has a circuit that separates the imaginary component of the corresponding complex carrier signal to provide an imaginary carrier signal sin (&ohgr;nt). The M output signals of the circuits for the I-paths may be summed in a corresponding adder to provide in-phase component rI(t) of the fading signal r(t). Similarly, the M output signals of the circuits for the Q-paths may be summed in a corresponding adder to provide the quadrature component rQ(t) of the fading signal r(t).
Abstract:
A circuit performs threshold normalization of accumulated transition probabilities for a given state of a state transition trellis in a maximum likelihood detector. Threshold normalization may be accomplished by comparison and setting of a single bit in stored transition probabilities. Threshold value comparison may be accomplished by comparing the bth bit of the stored transition probabilities if the threshold value is 2b. When all transition probabilities exceed the threshold value at a stage of the trellis, the transition probabilities are scaled, such as by subtracting the threshold value. Scaling may be implemented by setting the compared bth bits to zero before storage. In general, since accumulated transition probabilities are monotonically increasing for transition probabilities of paths through the trellis in both forward and reverse directions, the present invention may be employed for both threshold normalization of both the forward (&agr;) and reverse (&bgr;) transition probabilities.
Abstract:
Most wireless channels are sparse, so sparse channel-based methods can be used for channel estimation and feedback with much better estimation accuracy and much lower feedback overhead. However, certain wireless channels can be non-sparse, for which sparse channel-based methods may cause degraded estimation quality and increased feedback overhead. Means of detecting the channel sparseness are described that provide simple and effective channel sparseness indicators and safeguard against the mismatch between non-sparse channels and sparse channel-based methods. Various fallback options can be used under non-sparse channels such that estimation degradation and feedback overhead are both minimized. Fake multipath removal in continuous time-domain parameter extraction, a sparse channel-based method, is also described that further improves estimation quality and reduces feedback overhead.
Abstract:
Methods and apparatus of channel feedback are disclosed. In OFDM systems, the channel is acquired in the frequency domain. A generic multipath model for wireless channels, however, reveals that the time-domain parameters of the channel require much smaller data than the frequency-domain representation of the channel. Means to extracting the time-domain parameters from the frequency-domain channel samples are described for both the continuous time domain and the discrete time domain. Refinements of the time-domain parameters via minimizing a frequency-domain matching error are also described, which further improve the quality of the channel feedback and reduce the feedback overhead. Channel feedback with the time-domain parameters requires only a small fraction of the feedback overhead that is needed by existing channel feedback schemes, and maintains consistently superior performances over wireless channels of various delay spreads, short or long.