A communication method includes determining a first decoder and a first bit sequence based on N decoders, and sending first information useable to indicate the first bit sequence. An input of the first decoder includes the first bit sequence. An output of the first decoder includes first channel information, where N is a positive integer.

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.

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.

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.

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.

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.

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.

A blind channel equalizer device for a radiofrequency receiver suitable for modulating the constant envelope signal of the transmission includes: an adjustable linear digital filter, defined at a point in time by the coefficients) thereof, able to filter an input signal in order to produce an output signal; an estimator able to estimate a power of the input signal; an adapter able to adapt the filter by calculating the coefficients of the filter at a point in time by subtracting, from the filter coefficients at a preceding point in time, the gradient of a cost function assigned with a correction coefficient. The cost function includes a first distance criterion between the square of the output signal and the power, wherein the correction coefficient is a product including a constant convergence coefficient and a scaling coefficient inversely proportional to the square of the power. Also disclosed is a related Radiofrequency receiver.

Systems and methods relating to estimating data symbols encoded in a received signal that has been transmitted at a faster than Nyquist rate. The present invention uses a heuristic method for non-convex problems and involves an input matrix and received samples from the received signal. These are preconditioned and the preconditioned input matrix is factorized. The method then iterates a three-step process that estimates the sequence of data symbols based on the current estimate, the preconditioned input matrix, the preconditioned samples vector, a multiplier vector, and an auxiliary vector. The process then calculates the next multiplier vector and the next auxiliary vector. If the result indicates a minimum as compared to the best estimate, then the result is used as the best estimate. Multiple iterations of the process are performed, and the multiple iterations are repeated for multiple random initializations of the estimate.

The present invention relates to not only a 4th-generation (4G) communication system such as long term evolution (LTE), but also a 5th-generation (5G) or pre-5G communication system which is provided to support a higher data rate. The present invention provides a method for performing a channel decoding operation by a reception device in a communication system, the method comprising the steps of: generating at least two resource elements (REs) into at least two RE groups; and generating a soft decision decoding metric for a signal received through each of the at least two RE groups.