Abstract: A communication device (alternatively, device) includes a processor configured to support communications with other communication device(s) and to generate and process signals for such communications. In some examples, the device includes a communication interface and a processor, among other possible circuitries, components, elements, etc. to support communications with other communication device(s) and to generate and process signals for such communications. In some examples, a device encodes information using a low density parity check (LDPC) code to generate an LDPC coded signal and transmits the LDPC coded signal to another communication device. in other examples, a device receives an LDPC coded signal from another communication device and decodes the LDPC coded signal using an LDPC matrix. The LDPC matrix includes a left hand side matrix and a right hand side matrix (e.g., having CSI (Cyclic Shifted Identity) sub-matrices on a main diagonal and another diagonal adjacently located to the main diagonal).

Abstract: Methods, systems, and apparatuses are described for providing device(s) with additional processing time to process a packet received wirelessly while still meeting the legacy SIFS time constraint. The additional processing time may be achieved by adding, by a device transmitting the packet, padding and/or a packet extension to the last symbol of the packet. The additional processing time provided to the device(s) advantageously reduces the amount of extra hardware that would normally be added to meet the SIFS time constraint. The amount of padding and/or packet extension to be added to the last symbol is balanced to minimize the complexity of the device(s) against the reduction in system efficiency incurred by the device(s).

Abstract: Methods, systems, and apparatuses are described for providing device(s) with additional processing time to process a packet received wirelessly while still meeting the legacy SIFS time constraint. The additional processing time may be achieved by adding, by a device transmitting the packet, padding and/or a packet extension to the last symbol of the packet. The additional processing time provided to the device(s) advantageously reduces the amount of extra hardware that would normally be added to meet the SIFS time constraint. The amount of padding and/or packet extension to be added to the last symbol is balanced to minimize the complexity of the device(s) against the reduction in system efficiency incurred by the device(s).

Abstract: Methods, systems, and apparatuses are described for providing device(s) with additional processing time to process a packet received wirelessly while still meeting the legacy SIFS time constraint. The additional processing time may be achieved by adding, by a device transmitting the packet, padding and/or a packet extension to the last symbol of the packet. The additional processing time provided to the device(s) advantageously reduces the amount of extra hardware that would normally be added to meet the SIFS time constraint. The amount of padding and/or packet extension to be added to the last symbol is balanced to minimize the complexity of the device(s) against the reduction in system efficiency incurred by the device(s).

Abstract: Methods, systems, and apparatuses are described for providing device(s) with additional processing time to process a packet received wirelessly while still meeting the legacy SIFS time constraint. The additional processing time may be achieved by adding, by a device transmitting the packet, padding and/or a packet extension to the last symbol of the packet. The additional processing time provided to the device(s) advantageously reduces the amount of extra hardware that would normally be added to meet the SIFS time constraint. The amount of padding and/or packet extension to be added to the last symbol is balanced to minimize the complexity of the device(s) against the reduction in system efficiency incurred by the device(s).

Abstract: Methods, systems, and apparatuses for opportunistic data transfer (ODT) are provided. ODT improves network coverage, reliability and/or efficiency by permitting data transfer consumers and network access providers to take advantage of communication opportunities that may be mutually beneficial. Fixed and mobile, personal or business, wired or wireless devices, may participate as ODT network operators, providers and/or consumers. ODT participants may be motivated to participate, for example, to reduce battery consumption and improve network coverage, reduce network congestion and interference. A phone, for example, may be enabled to send data to an Internet destination by ODT in lieu of a cellular network in particular circumstances, such as cellular network unavailability, with less costly data transfer and/or less battery power consumption. ODTs may be ad hoc or preauthorized and may be tracked, accounted, and compensated for, such as according to ODT service terms selected by each provider.

Abstract: The present disclosure is directed to an apparatus and method for decoding non-binary LDPC codes over non-associative finite division near rings. A non-associative finite division near ring is a type of algebraic structure that includes a finite set of elements on which the operations of addition and multiplication are defined. The operation of addition is commutative, associative, and closed, and may have an additive identity for all elements in the finite set. The operation of multiplication is closed but not commutative or associative, and has a multiplicative inverse but not a multiplicative identity for all elements in the finite set. The two operations of addition and multiplication may be related by the distributive property.

Abstract: Methods, systems, and apparatuses for opportunistic data transfer (ODT) are provided. ODT improves network coverage, reliability and/or efficiency by permitting data transfer consumers and network access providers to take advantage of communication opportunities that may be mutually beneficial. Fixed and mobile, personal or business, wired or wireless devices, may participate as ODT network operators, providers and/or consumers. ODT participants may be motivated to participate, for example, to reduce battery consumption and improve network coverage, reduce network congestion and interference. A phone, for example, may be enabled to send data to an Internet destination by ODT in lieu of a cellular network in particular circumstances, such as cellular network unavailability, with less costly data transfer and/or less battery power consumption. ODTs may be ad hoc or preauthorized and may be tracked, accounted, and compensated for, such as according to ODT service terms selected by each provider.

Abstract: A communication device or device includes a processor that generates and interprets signals that are transmitted and received via a communication interface. The processor receives an LDPC coded signal, via the communication interface, that is generated by puncturing at least one parity bit from another LDPC coded signal that is generated based on an LDPC code characterized by a first LDPC matrix. The processor operates on the first LDPC matrix to generate a second LDPC matrix by excluding at least one column and at least one row from the first LDPC matrix. The number of columns and rows excluded from the first LDPC matrix is based on the number of bits punctured from the other LDPC coded signal to generate the LDPC coded signal. The processor then decodes the LDPC coded signal using the second LDPC matrix to make estimates of information bits encoded within the LDPC coded signal.

Abstract: Methods, systems, and apparatuses are described for providing device(s) with additional processing time to process a packet received wirelessly while still meeting the legacy SIFS time constraint. The additional processing time may be achieved by adding, by a device transmitting the packet, padding and/or a packet extension to the last symbol of the packet. The additional processing time provided to the device(s) advantageously reduces the amount of extra hardware that would normally be added to meet the SIFS time constraint. The amount of padding and/or packet extension to be added to the last symbol is balanced to minimize the complexity of the device(s) against the reduction in system efficiency incurred by the device(s).

Abstract: A communication device (alternatively, device) includes a processor configured to support communications with other communication device(s) and to generate and process signals for such communications. In some examples, the device includes a communication interface and a processor, among other possible circuitries, components, elements, etc. to support communications with other communication device(s) and to generate and process signals for such communications. In some examples, a device encodes information using a low density parity check (LDPC) code to generate an LDPC coded signal and transmits the LDPC coded signal to another communication device. in other examples, a device receives an LDPC coded signal from another communication device and decodes the LDPC coded signal using an LDPC matrix. The LDPC matrix includes a left hand side matrix and a right hand side matrix (e.g., having CSI (Cyclic Shifted Identity) sub-matrices on a main diagonal and another diagonal adjacently located to the main diagonal).

Abstract: A communication device or device includes a processor that generates and interprets signals that are transmitted and received via a communication interface. The processor receives an LDPC coded signal, via the communication interface, that is generated by puncturing at least one parity bit from another LDPC coded signal that is generated based on an LDPC code characterized by a first LDPC matrix. The processor operates on the first LDPC matrix to generate a second LDPC matrix by excluding at least one column and at least one row from the first LDPC matrix. The number of columns and rows excluded from the first LDPC matrix is based on the number of bits punctured from the other LDPC coded signal to generate the LDPC coded signal. The processor then decodes the LDPC coded signal using the second LDPC matrix to make estimates of information bits encoded within the LDPC coded signal.

Abstract: The present disclosure is directed to a system and method for decoding a polar encoded codeword using a frozen bit pattern determined based on a frozen bit pattern derived for a trellis decoder with a different routing structure between each of a plurality of processing stages. The frozen bit pattern can be determined based on the frozen bit pattern derived for the trellis decoder with the different routing structure between each of the plurality of processing stages such that a belief propagation decoder that uses a plurality of time-multiplexed processing elements with a fixed routing interconnect can still achieve a high decoding performance.