Abstract: Disclosed is a method and apparatus for dynamic channel assignment (DCA) in a wireless network, which describes the complex channel assignment problem with a decoding problem. The invention describes the decoding problem with a normal graph and specifies all the local rules enforced by all the nodes at access point sides and subscriber sides. Then, the invention carries out the sum-product algorithm to solve the DCA. It is not only a fully-distributed low-complexity DCA technology, but also significantly increases the network throughput. The invention further adopts the concept of subscriber exclusive region to guarantee the link quality between a subscriber and an access point.

Abstract: Disclosed is a method and apparatus for fully-distributed packet scheduling in a wireless network. The decoding algorithm with low-density parity-check code is applied in a transmission wireless network to achieve the fully-distributed packet scheduling. In the packet scheduling, only one wireless network node is needed to exchange information and communicate with its neighboring network nodes. Therefore, it is not necessary to estimate the signal to noise ratio, while being eye to eye among the neighboring network nodes. If the network load exceeds the network capacity, the present invention automatically eliminates the most difficult user to reduce the overall network load and diverts the resources to the surviving users.

Abstract: This invention is about a DAPD-LUT technique of dynamically adapting an LUT spacing for linearizing a power amplifier (PA). It optimizes the LUT spacing for the PA without prior knowledge of system state information. A size-N LUT divides a whole unsaturated PA input amplitude range into N bins, each predistorted by an entry of the LUT. The LUT is indexed by an input amplitude of a modulated signal via an index mapper to implement an unconditionally non-uniform LUT spacing. A spacing adaptor online interactively adapts the LUT spacing. The adapted LUT spacing balances the IMD power at the PA output corresponding to each bin, so that the total IMD power at the PA output is minimized. This dynamically-optimum technique is practical, robust, and with low complexity.

Abstract: The present invention provides an antenna-array-based multiple-input multiple-output orthogonal-frequency-division-multiplexing (MIMO-OFDM) system and a pre-coding and feedback method used in the same. The present invention uses QR decompositions of the MIMO channel matrixes to parameterize the channel state information (CSI) of every OFDM frequency band. In addition, the present invention feeds back the information related to ? and ? in the Givens rotation matrixes of the partial frequency bands and then uses an interpolation method to generate ? and ? in the Givens rotation matrixes of all the frequency bands, which further is able to represent the CSI of all the frequency bands. In this way, the present invention has advantages of low complexity and low feedback rate requirement.

Abstract: A transceiver includes a transmitter, a receiver, and an electrical feedback line. The transmitter has a quadrature-modulator and is configurable to compensate inphase/quadrature phase imbalances produced by hardware of the transmitter. The quadrature-modulator is configured to quadrature-modulate a carrier wave. The receiver has a quadrature-demodulator and is configurable to compensate for inphase/quadrature phase imbalances produced by hardware in the receiver. The quadrature-demodulator is configured to demodulate a quadrature-demodulated carrier. The electrical feedback line connects an output of the transmitter to an input of the receiver.

Abstract: A CDMA wireless communication system for communicating with wireless terminals. The system comprises a channel estimator for determining characteristics of the wireless channels of the wireless terminals. The channel characteristics are used by a code optimizer to assign spreading codes to the wireless terminals. In one embodiment, the code optimizer utilizes an iterative code optimization algorithm and maintains a processing set of wireless terminals. The code optimizer chooses target wireless terminals and performs a random code search in order to find an improved code for the target wireless terminal. The improved code found in the random code search is further improved by performing a gradient search of codes in the signal space in the vicinity of the improved code and by performing a gradient search of transmission delays. The improved codes are transmitted to the wireless terminals for use in reverse link communication.

Abstract: A feedforward linearizer includes a signal cancellation circuit and an error cancellation circuit. The signal cancellation circuit includes a tap delay line, that delay the input signal by a predetermined time delay so as to provide several delayed versions of the input signal. Each delayed version of the input signal is weighted by a tap coefficient. The weighted signals are then added together and fed to the power amplifier. The tap coefficients are derived such that the signals traveling through the upper and lower branch of the signal cancellation loop are aligned and that the output signal of the power amplifier is equalized.

Abstract: A feedforward linearizer for amplifying an input signal comprises a signal cancellation circuit which has a first branch and a second branch. A first amplifier provided in the first branch receives the input signal intended to be amplified and generates an output signal received by a signal cancellation vector modulator. A signal cancellation adder receives the signal generated by the signal cancellation vector modulator and the input signal via the second branch and provides an error signal. The feedforward linearizer also comprises an error cancellation circuit that has a first branch and a second branch. An error cancellation adder in the first branch receives the output signal provided by the first amplifier and generates the output signal of the linearizer. An error cancellation vector modulator in the second branch receives an error signal provided by the signal cancellation adder and provides an error adjusted signal to a second auxiliary amplifier.

Abstract: A cellular communication signal receiver receives a desired signal in the presence of at least one co-channel interference signal. The receiver comprises a channel estimator configured to receive a plurality of training signal samples to estimate the finite impulse response to the desired signal and the co-channel interference signal. The finite impulse response estimates having a predetermined number of channel taps defining the length of the desired channel and the length of co-channel interference channel. A Viterbi decoder is coupled to the channel estimator, and configured to receive the desired and co-channel interference signals. The channel estimator generates channel tap estimates. A power calculator is coupled to the channel estimator and configured to estimate the power of the estimated channel taps.

Abstract: A feedforward linearizer for amplifying an input signal comprises a signal cancellation circuit which has a first branch and a second branch. A first amplifier provided in the first branch receives the input signal intended to be amplified and generates an output signal received by a signal cancellation vector modulator. A signal cancellation adder receives the signal generated by the signal cancellation vector modulator and the input signal via the second branch and provides an error signal. The feedforward linearizer also comprises an error cancellation circuit that has a first branch and a second branch. An error cancellation adder in the first branch receives the output signal provided by the first amplifier and generates the output signal of the linearizer. An error cancellation vector modulator in the second branch receives an error signal provided by the signal cancellation adder and provides an error adjusted signal to a second auxiliary amplifier.