Integrated Device Technology, Inc.

Mohammad Shahanshah Akhter

Brian Scott Darnell

Bachir Berkane

Steve Lamontagne

Zixiong Wang

Gregory Edward Lund

David Clifton Bond

John Bradley Deforge

Barry Wood

Randy May

Mike Seufert

An apparatus includes a transceiver circuit, an antenna and a focus array. The transceiver circuit may have a plurality of fed channels configured to generate a plurality of signals. The antenna may have a plurality of antenna arrays configured to generate one or more beams in response to the signals. Each antenna array may (i) have a plurality of subarrays and (ii) be coupled to the fed channels of the transceiver circuit. The focus array may have a plurality of focal zones configured to reflect the beams into a beam zone. Each beam may be steerable by the antenna to one of the focal zones at a time. The focal zones may redirect the beams to a plurality of locations within the beam zone.

Long range beamforming and steering in wireless communication links

A system includes at least one end-node, at least one edge node, and an edge cloud video headend. The at least one end node generally implements a first stage of a multi-stage hierarchical analytics and caching technique. The at least one edge node generally implements a second stage of the multi-stage hierarchical analytics and caching technique. The edge cloud video headend generally implements a third stage of the multi-stage hierarchical analytics and caching technique.

Hierarchical caching and analytics

Scalable Coherent Apparatus and Method have been disclosed. In one implementation a dual directory approach is used to implement scalable coherent accesses in a heterogeneous system. A transaction identification mapping for coherent RapidIO memory transactions between a plurality of external hardware processing elements is used. Source transaction identification encoding is a combination of bits from two advanced extensible interface identifications. Target transaction identification is decoded into a combination of bits for two advanced extensible interface identifications.

Scalable coherent apparatus and method

A Method and Apparatus for Flexible Coherent and Scale-out Computing Architecture have been disclosed. In one implementation a plurality of integrated photonics are used to effect communications.

Method and apparatus for flexible coherent and scale-out computing architecture

A method and apparatus provides a parameter estimation processor configured to estimate parameters used to compress data for transmission over a serial data link. The parameter estimation processor includes a processor. The processor includes user programmable inputs. The user programmable inputs set an input data packet length, a target compression ratio, and a resampling factor and allow filter parameters to be set. Input data information is received from an input data buffer of a data sample compressor. The processor performs a function that: (a) adjusting a target compression ratio by a first compression ratio to determine a remaining compression ratio when the resampling operation is enabled; (b) estimating a set of compression parameters that are used to achieve the remaining compression ratio, the set of compression parameters includes an attenuation value, filter order, a type of encoding; and (c) sends the set of compression parameters to the data sample compressor. The data sample compressor applies the compression parameters to a packet of input data and outputs a plurality of compressed data words.

Methods and apparatuses for a unified compression framework of baseband signals

A method and apparatus for compressing data in a communication system by receiving uncompressed packet at a compressor of the communication system, segmenting the packet into a plurality of packet segments, estimating packet segment compression parameters for each of the plurality of packet segments and compressing the packet segments utilizing one or more of the estimated packet segment compression parameters that are estimated and adjusted based upon the signal characteristics of the uncompressed packet and a desired compression ratio.

Method and apparatus utilizing packet segment compression parameters for compression in a communication system

The method and apparatus of the present invention provides for the compression and decompression of data bursts wherein the propagation of synchronization errors is limited to a desired number of signal samples and the start of a burst boundary is identified. In accordance with the present invention, a method and apparatus are provided for compressing data in a communication system by receiving data bursts comprising a plurality of uncompressed data packets at a compressor of the communication system, generating a start of burst parameter and a packet size parameter for each of the uncompressed data packets and compressing the data packets. At the decompressor, the compressed data packets are received and when a synchronization error occurs, the packet size parameter is used to limit the propagation of the error to a desired number of samples and to restore the data burst utilizing the start of burst parameter.

Method and apparatus for controlling error and identifying bursts in a data compression system

A dynamic context resource module measures a compression performance level of a most recent compressed data packet of each of a plurality of compressed signal streams to generate a signal stream compression performance level for each signal stream. Dynamic compression performance indicators are calculated from the measured signal stream compression performance levels and are stored in a dynamic context resource table. A compression parameter estimation module reads the dynamic compression performance indicators and determines if each signal stream exhibits a desired performance level. If a signal stream does not exhibit the desired performance level, the compression parameters for the signal stream are adjusted. A compressed packet generator compresses a next data packet of the signal stream based upon the adjusted compression parameters for the signal stream or the unadjusted compression parameters for the signal stream.

Method and apparatus for context based data compression in a communication system

The method and apparatus of the present invention provides for reduced power consumption and cost while supporting wide bandwidth signals from a large number of antennas, as is required by next generation systems. In accordance with the present invention, a method and apparatus are provided for processing data in a baseband unit in which compressed signals from remote radio units are sent directly to the switch instead of to a separate conversion device. Thereby, the local input and output bottleneck within processing devices is removed in the data path of the signals between the remote radio units and the baseband unit. This also reduces the number of ports in the switch and bandwidth requirement for the switch.

Method and apparatus for efficient baseband unit processing in a communication system

The method and apparatus of the present invention provides for reduced power consumption and cost while supporting wide bandwidth signals from a large number of antennas, as is required by next generation systems. In accordance with the present invention, a method and apparatus are provided for processing data in a radio unit of a communication system by receiving compressed data at one or more interfaces or internal resources of a distributed switch of a radio unit, operating the distributed switch to match the interface bandwidth to the resource bandwidth and distributing the compressed data received at the one or more interfaces or internal resources to the one or more internal resources or interfaces of the radio unit through the distributed switch.

Method and apparatus for efficient radio unit processing in a communication system

A method and apparatus that compresses signal data to generate compressed signal data having a low latency jitter while maintaining an acceptable compression ratio and reasonable degradation, as is required by next generation systems. A method and apparatus for compressing data in a communication system by receiving uncompressed data at a compressor of the communication system, analyzing the uncompressed data at the compressor to estimate at least one compression parameter to be applied during the compression of the uncompressed data, compressing the uncompressed data utilizing the at least one estimated compression parameter, monitoring the performance level of the compressed data packet and adjusting the estimated compression parameter used to compress the uncompressed data if the compressed data packet does not exhibit a desired performance level.

Method and apparatus for efficient data compression in a communication system

A method and apparatus for a configurable packet routing, buffering and scheduling scheme to optimize throughput with deadlock prevention in SRIO-to-PCIe Bridges have been described. A single level enqueue method with dynamic buffering and dequeuing based on packet re-ordering is disclosed. Single level packet routing and scheduling to meet SRIO and PCIe rules to enqueue packets based on FType/TType is disclosed. Backpressure based on ingress watermarks for different packet types is disclosed. Use of a circular-reorder queue (CRQ) for both ingress and egress allows packet reordering and packet passing.

Method and apparatus for a configurable packet routing, buffering and scheduling scheme to optimize throughput with deadlock prevention in SRIO-to-PCIe bridges

The method and apparatus of the present invention provides for the compression of signal data having a low latency jitter while maintaining a target compression ratio and reasonable degradation, as is required by next generation systems. In accordance with the present invention, a method and apparatus are provided for compressing data in a communication system by receiving uncompressed packet at a compressor of the communication system, segmenting the packet into a plurality of packet segments, calculating signal sample bit-removal information for each of the plurality of packet segments and compressing the packet segments utilizing the signal sample bit-removal information that is calculated based upon the signal characteristics of the uncompressed packet and a desired target compression ratio.

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Ottawa, Canada

Mohammad Shahanshah Akhter