Abstract: Methods and systems are described for optimizing a predictive model for mobile network communications based on historical context information. In one aspect, historical context information is collected including at least one of communication environment, communication parameter estimates, mobile device statistics, mobile device transmit settings, base station receiver settings, past network statistics and settings, and adjacent network node information statistics and settings, the historical context information including data from communications of at least one mobile device. A predictive model for network communications is determined based on the historical context information. A communication context for a first mobile device different than the at least one mobile device is determined. The first device is scheduled and/or network parameters are set based on the determined predictive model and communication context.

Abstract: Methods and systems are described for jointly processing multiple sectors in a wireless communication network. In one aspect, a first antenna serving a first sector is associated with a second antenna serving a second sector for joint processing. First and second antenna data is received. A plurality of wireless users associated with at least one of the first or second antenna data to model for channel estimation is determined, including an interfering wireless user connected via a third antenna serving a third sector not currently being jointly processed with the first or second antenna data. Channel estimates are determined for the plurality of wireless users. The first and second antenna data is jointly processed. Interference from the wireless user connected via a third antenna is suppressed based on a determined corresponding channel estimate for the wireless user and other received information for the wireless user.

Abstract: Methods and systems for performing compressed time domain joint channel estimation in a multi-user MIMO wireless network include receiving data corresponding to transmission of training signals from a plurality of users to a base station over a MIMO wireless network, determining a limited data set by limiting the received data in a time domain according to an estimated maximum delay spread, forming a well-conditioned low rank training matrix by identifying a channel model, estimating an active tap from the formed well-conditioned low rank training matrix, and subtracting a contribution of the selected active tap from the limited data set.

Abstract: An improved receiver design implements a practical method for modeling users in SIC turbo loop multiuser detection architectures, wherein in each loop unsubtracted estimation errors from previous loops are used to appropriately scale the error covariance matrix for each user, thereby accurately representing the remaining residual interference in the data stream for each desired user. The effect of estimation errors in previous interference cancellation operations is thereby minimized, and symbol estimations in successive turbo loops are improved, for example during multiuser MMSE, multiuser MMSE with interference rejection combining (MMSE-IRC), sample matrix inversion (SMI), or any of their adaptive variants (least mean-square, recursive least square, Kalman filter etc.). The estimated residual symbol energy can be computed per symbol, and then applied to entire data streams, to groups of symbols, or to each symbol separately.

Abstract: A method and apparatus are disclosed that apply multiuser detection (MUD) analysis to an aggregated RF response from a plurality of simultaneously queried RFID tags, so as to distinguish the individual tag responses. The claimed method thereby significantly reduces RFID detection latency when multiple tags are simultaneously queried. Some embodiments transmit carrier waves at more than one frequency, such as a plurality of equally-spaced frequencies, so as to enhance the MUD analysis by incorporating a multi-frequency dimension. Other embodiments incorporate additional spatial dimensions by deploying multiple RF detection antennae at separated locations. The number of colliding tag responses must be estimated before MUD analysis can be applied.

Abstract: Methods and systems are described for communicating data selectively via heterogeneous communication network links. In one aspect, a network link selector (NLS) determines respective data costs associated with communicating data via a plurality of heterogeneous network links each linking to one or more networks. One or more network links to communicate data between a remote network node and a user device remotely communicating with the NLS via a network is selected from among the plurality of heterogeneous network links based on the determined respective data costs. Communicating the data via the selected link is provided for. In another aspect, link selection information based on respective data costs is received via a network from an NLS. One or more network links is selected from among the plurality of heterogeneous network links based on the received link selection information. The data is communicated via the selected link.

Abstract: Methods and systems for determining scheduling information of a base station in a network operating according to the Long Term Evolution (“LTE”) standard include monitoring transmissions on the PDCCH of the wireless base station, maintaining a list of active Radio Network Temporary Identifiers (“RNTI's”) assigned by the wireless base station to user equipment, extracting PDCCH detections from the monitored transmissions, applying at least one false alarm reduction strategy to eliminate invalid PDCCH detections from the extracted PDCCH detections, said false alarm reduction strategy including determining an RNTI that is valid for an extracted PDCCH detection and determining if the valid RNTI is included in the list of active RNTI's. Scheduling information of the wireless base station is determined from the extracted PDCCH detection.

Abstract: Methods and systems are described for calibrating phase hardware-induced distortion in a long term evolution (LTE) communications system. In one aspect, an estimate of a phase difference at a user equipment (UE) between downlink channels including signals sent over two or more BS transmitter chains is received from the UE in an LTE communications system. A phase difference between uplink channels including signals received over two or more BS receiver chains is determined at a BS. A relative phase distortion induced by two or more BS transceiver chains is determined based on the received estimate of phase difference between downlink channels and the determined phase difference between uplink channels.

Abstract: Methods and systems are described for providing a rapidly self-organizing cellular communications network. In one aspect, scheduling information is received for at least one mobile device previously scheduled for communication in a first cell of a cellular communications network, the scheduling information corresponding to a scheduling decision made for the first cell without the knowledge of scheduling decisions made for a second cell adjacent to the first cell. Whether to initiate a handover procedure to handover the mobile device to the first cell is determined based on the received scheduling information. The mobile device for is scheduled for communications in the second cell and/or the handover procedure is initiated based on the determination.

Abstract: Methods and systems for applying a multi-path, maximum SINR, pre-processing interference rejection filter to an interference-limited signal received from a plurality of users in a wireless network operating according to the Long Term Evolution (“LTE”) standard includes receiving raw data, including training data from a plurality of users, selecting at least one modeled user, subtracting a contribution of the modeled user(s) from the training data to form a residual training signal, forming an interference rejection covariance matrix from the residual training signal, whitening the raw data using the interference rejection covariance matrix, and equalizing the whitened received data. In embodiments, an estimated contribution of a subset of the modeled users is subtracted from the raw data for filtering in a subsequent turbo loop. The subset can be selected based on an estimated post-combined SINR, an estimated outage capacity, or an estimated multiuser efficiency of the received data.

Abstract: Methods and systems are described for providing a rapidly self-organizing cellular communications network. In one aspect, scheduling information is received for at least one mobile device previously scheduled for communication in a first cell of a cellular communications network, the scheduling information corresponding to a scheduling decision made for the first cell without the knowledge of scheduling decisions made for a second cell adjacent to the first cell. At least one parameter is determined, based on the received scheduling information, for communications in the second cell that improves performance of the first cell. Communications with mobile devices served by the second cell are adjusted based on the determined at least one parameter.

Abstract: Methods and systems are described for determining a radio network temporary identifier (RNTI) and coding rate for an intercell signal in an LTE network. In one aspect, a plurality of potential RNTIs (that is a subset of all available RNTIs) associated with a received intercell signal is determined. A first signal based on a first potential combination of a one of the plurality of RNTIs and a coding rate is processed by a first decoder. Whether the first potential combination includes a correct RNTI and coding rate combination for the received intercell signal is determined based on at least one metric for the processed first signal. A second signal based on a second potential combination of a one of the plurality of RNTIs and a coding rate is processed by a second decoder if the first potential combination does not include the correct RNTI and coding rate combination.

Abstract: A method and system are described for optimizing signal strength of a beam-formed wireless network transmission at intended receiver(s) while reducing unintended interference with unintended receiver(s), without requiring high speed exchange of information between nodes. The method is operable by a multi-antenna node of a wireless network in which nodes use the same spectrum for both transmitting and receiving, so that the channel information between the nodes is reciprocal. This allows transmit channel information to be directly determined from signals received from unintended receivers. Scheduling information about the unintended receivers can also be estimated based on the received signals, for example by assuming that the unintended receivers will transmit as frequently as they receive, and/or by obtaining scheduling information from handshake signals or packet headers of the received signals.

Abstract: A method and system are described for applying MLD detection to SC-FDMA data streams. Embodiments obtain initial estimates of at least some symbols encoded within an SC-FDMA data input using a non-MLD algorithm, and then use the initial estimates to reduce the search space and the MLD complexity. In addition, the reduced complexity MLD (“RC-MLD”) is applied only to a limited search window within the digital communication input, thereby modeling only a subset of the symbols included in the digital communication input. The MLD complexity is thereby reduced sufficiently for an RC-MLD decoder to simultaneously model and extract a plurality of the symbols included in the data input. Symbols initially decoded by the non-MLD algorithm can be subtracted from the data input in a serial interference cancelling module. This cancellation can be applied successively in a turbo-loop.

Abstract: Systems and methods for creating non-orthogonal dimensionality between signals are disclosed. Signals are received from at least one electronic device. An adjustment of a parameter of a received signal of a first device of the at least one of the electronic device that would result in an adjusted signal that is not orthogonal but differentiates the signal from at least one other signal of the received signals is determined. An instruction is communicated to the first device to implement the adjustment of the parameter.

Abstract: What is provided is a system for maintaining acceptable error rates in a MUD-enabled ad-hoc network. In this system the power spread associated with all of the nodes is maintained within the dynamic range of the system, for instance 30 dB. Also, the signal-to-noise ratio at an intended receiver is maintained above a predetermined minimum SNR, for instance above 5 dB. If the dynamic range rule is not met, then the power at the transmitting node is attenuated such that the dynamic range rule is met, checking to see that the minimum SNR rule is also met, or the transmission from this node is pulled. If there is no power control solution, then power aware scheduling is applied. Alternatively, only power aware scheduling is utilized.

Abstract: In the method for operating an interference multiple access communications system, wherein the improvement comprises the steps of employing a distributed scheduler within a Media Access Controller (MAC) for Multiuser Detection (MUD) enabled Mobile Ad-hoc Networks (MANETS) to increase spectral efficiency by increasing spectral use and providing a way to dynamically allocate virtual channels to achieve maximum channel reuse in different network topologies and different link patterns and to ameliorate any hidden or exposed node problems.

Abstract: A QR-RLS adaptive digital filter provides fast computation without excessive computational resources. 18-bit multipliers enhance speed, and a floating point inverse square root block adjusts dynamic range in 12-dB steps. A memory stores two P-matrix copies, one being delivered with rows shifted according to the clock speed so as to enhance pipeline processing. Embodiments reliably detect modulation schemes, demodulate strong signals by passing feedback bits between multiple stages, remove impulses due to lightening, etc, erase symbol estimates which exceed an error threshold, and add high frequency noise to avoid mathematical divergence caused by excessive S/N. A genetic method is provided for identifying asynchronous spreading codes with minimum correlations, whereby randomly selected candidates compete based on Frobenius norms of their correlations, the weakest being discarded and the process being iterated.