Patent classifications
H04L25/03184
Non-Coherent Multi-Symbol-Delay Differential Detector
An electronic receiver may generate a differential detection sequence based on a received symbol sequence and based on a m-symbol delayed version of the received symbol sequence, where in is an integer greater than 1. The particular differential detection sequence may be a result of an element-by-element multiplication of the particular received symbol sequence and the conjugate of an in-symbol delayed version of the particular received symbol sequence. The receiver may calculate differential decision metrics based on the differential detection sequence and based on a set of differential symbol sequences generated from the set of possible transmitted symbol sequences. The receiver may generate a decision as to which of a set of possible transmitted symbol sequences resulted in the received symbol sequence, where the decision is based on the differential decision metrics and the set of possible transmitted symbols sequences.
Non-coherent multi-symbol-delay differential detector
An electronic receiver may generate a differential detection sequence based on a received symbol sequence and based on a m-symbol delayed version of the received symbol sequence, where m is an integer greater than 1. The particular differential detection sequence may be a result of an element-by-element multiplication of the particular received symbol sequence and the conjugate of an m-symbol delayed version of the particular received symbol sequence. The receiver may calculate differential decision metrics based on the differential detection sequence and based on a set of differential symbol sequences generated from the set of possible transmitted symbol sequences. The receiver may generate a decision as to which of a set of possible transmitted symbol sequences resulted in the received symbol sequence, where the decision is based on the differential decision metrics and the set of possible transmitted symbols sequences.
Modem framework for application-specific baseband customization at an end user
Methods, systems, and devices for wireless communications are described. In some systems, a device, such as an internet of things (IoT) device, may include a configuration or software (e.g., in baseband) that is common for multiple applications of the device. In some aspects, the device may select a setting for at least some if not each of a set of parameters associated with or defining a device profile of the device based on an application of the device. The device may perform a mapping procedure to map the settings for the parameters associated with the device profile to one or more baseband configurations or baseband handles and the device may customize the baseband of the device using the one or more baseband configurations. As such, the device may operate or communicate using the baseband that is customized based on the device profile and application of the device.
DYNAMIC CONTENT DELIVERY ROUTING AND RELATED METHODS AND SYSTEMS
Systems, devices, and methods for streaming media content over a network are provided. One exemplary method of streaming media content over a network involves transmitting one or more portions of the media content to a client device via a delivery route between a content delivery source and the network, determining a performance metric associated with the transmitting of the one or more portions via the delivery route, and dynamically adjusting the delivery route between the content delivery source and the network based at least in part on the performance metric.
REMOTE STORAGE DIGITAL VIDEO RECORDER STREAMING AND RELATED METHODS
Systems, devices, and methods for streaming or otherwise delivering media content over a network are provided. One exemplary method of streaming media content over a network using a RS-DVR system involves receiving, at the RS-DVR system, a request for a portion of the media content from a media player on a client device via the network, receiving, at the RS-DVR system, the portion of the media content from an origin server on the network, buffering the portion of the media content at the RS-DVR system, and transmitting the portion of the media content to the media player on the client device. The portion of media content may be transmitted using a modified transport layer protocol, and in some embodiments, marked as non-cacheable.
METHODS AND SYSTEMS FOR ASSISTED CONTENT DELIVERY
Systems, devices, and methods for streaming media content over a network are provided. One exemplary method of assisted streaming of media content over a network involves detecting, by a media player at a client device coupled to the network, a first condition with respect to streaming the media content, and in response to the first condition, requesting, by the media player, a first portion of the media content from a first content delivery source on the network. After requesting the first portion of the media content, the method further comprises detecting, by the media player, a second condition with respect to streaming the media content, and in response to detecting the second condition, requesting, by the media player, a subsequent portion of the media content from a second content delivery source on the network. The first content delivery source transmits the media content using a modified transport layer protocol.
METHODS AND SYSTEMS FOR ADAPTIVE CONTENT DELIVERY
Systems, devices, and methods for streaming media content over a network are provided. One exemplary method of streaming media content over a network involves obtaining, at a client device coupled to the network from a device coupled to the network, a prioritized list of a plurality of content delivery sources on the network, selecting, by a media player at the client device, a first content delivery source of the plurality of content delivery sources based at least in part on the prioritized list, and requesting, by the media player, the media content from the first content delivery source via the network.
PARAMETERIZED SEQUENTIAL DECODING
There is provided a decoder for sequentially decoding a data signal received through a transmission channel in a communication system, said data signal carrying transmitted symbols, said decoder comprising a symbol estimation unit (301) configured to determine estimated symbols representative of the transmitted symbols carried by the received signal from information stored in a stack, said symbol estimation unit (301) being configured to iteratively fill the stack by expanding child nodes of a selected node of a decoding tree comprising a plurality of nodes, each node of the decoding tree corresponding to a candidate component of a symbol of said data signal and each node being assigned a metric, the stack being filled at each iteration with a set of expanded child nodes and being ordered by increasing values of the metrics assigned to the nodes, the selected node for each iteration corresponding to the node being assigned the lowest metric in the stack, the decoder comprising a metric determination unit (302) configured to determine an initial metric for each child node of said set of expanded child nodes, wherein the decoder further comprises a modified metric calculation unit (303) configured to calculate a modified metric for at least one of the expanded child nodes from the metric associated with said expanded child node and a weighting coefficient, said weighting coefficient being a function of the level of said node in the decoding tree, the decoder assigning said modified metric to said at least one of the expanded child nodes.
Interference cancellation method of user equipment in cellular communication system
An interference cancellation method and apparatus of user equipment in a cellular communication system is provided. The method includes receiving signals including a desired signal and an interference signal from one or more base stations; determining a maximum likelihood (ML) decision metric to determine a value l of a rank indicator (RI), a value p of a precoding matrix indicator (PMI), and a value q of a modulation (MOD) level of the interference signal; applying a logarithm to the ML decision metric, and applying a maximum-log approximation to a serving data vector and an interference data vector, which are included in the ML decision metric; determining the values of l, p, and q using the applied ML decision metric; and cancelling the interference signal from the received signals using the determined values of l, p, and q.
Non-Coherent Multi-Symbol-Delay Differential Detector
An electronic receiver may generate a differential detection sequence based on a received symbol sequence and based on a m-symbol delayed version of the received symbol sequence, where m is an integer greater than 1. The particular differential detection sequence may be a result of an element-by-element multiplication of the particular received symbol sequence and the conjugate of an m-symbol delayed version of the particular received symbol sequence. The receiver may calculate differential decision metrics based on the differential detection sequence and based on a set of differential symbol sequences generated from the set of possible transmitted symbol sequences. The receiver may generate a decision as to which of a set of possible transmitted symbol sequences resulted in the received symbol sequence, where the decision is based on the differential decision metrics and the set of possible transmitted symbols sequences.