H04L1/0055

RECEPTION DEVICE AND RECEPTION METHOD
20190173727 · 2019-06-06 ·

A reception device includes: a receiver that receives a multiplexed signal; a first demapper that demaps the multiplexed signal, with a second modulated symbol stream being included in the multiplexed signal as an undetermined signal component, to generate a first bit likelihood stream; a second demapper that demaps the multiplexed signal, with a first modulated symbol stream being included in the multiplexed signal as an undetermined signal component, to generate a second bit likelihood stream; a first decoder that performs error control decoding on the first bit likelihood stream; and a second decoder that performs error control decoding on the second bit likelihood stream. The multiplexed signal is a signal on which the first modulated symbol stream and the second modulated symbol stream are superposed, the second modulated symbol stream being subjected to conversion in accordance with the first modulated symbol stream in only a first direction.

Cycle slip resilient coded modulation for fiber-optic communications
10256946 · 2019-04-09 · ·

Disclosed is a method for decoding an optical data signal. Said optical data signal is phase and amplitude modulated according to a constellation diagram with at least eight constellation points representing non-binary symbols. Said decoding method comprises the following steps: carrying out a carrier phase recovery of a received signal ignoring the possible occurrence of phase slips, decoding said signal after phase recovery, wherein in said decoding, possible cycle slips occurring during phase recovery are modelled as virtual input to an equivalent encoder assumed by the decoding scheme. Further disclosed are a related encoding method as well as a receiver and a transmitter.

MIMO systems with independent oscillators and phase noise mitigation method thereof

Disclosed is a phase noise mitigation method using a MIMO system in which each antenna has an independent oscillator. The phase noise mitigation method includes: receiving a transmission signal transmitted from a transmitting antenna, through a receiving antenna and an oscillator; estimating multiple parameters for a phase noise of a transmission terminal and a phase noise of a receiving terminal on the basis of a result of mathematical modeling of signals transmitted and received through the MIMO system in which each antenna has an independent oscillator; and mitigating phase noises of the transmission terminal and the receiving terminal which are estimated from the received signal.

TURBO RECEIVERS FOR SINGLE-INPUT SINGLE-OUTPUT UNDERWATER ACOUSTIC COMMUNICATIONS
20190058529 · 2019-02-21 ·

Systems and methods for underwater communication using a SISO acoustic channel. An acoustic receiver may receive a signal comprising information encoded in at least one transmitted symbol. Using a Bi-SDFE, the at least one transmitted symbol is estimated. The Bi-SDFE may include a SDFE and a time-reversed SDFE that each output bit extrinsic LLRs, which are combined into combined bit extrinsic LLRs. The estimated symbol is then mapped to the combined bit extrinsic LLRs, the result of which is de-interleaved. Iterative bit extrinsic LLRs are generated with a MAP and/or soft-decision decoder using the mapped, combined bit extrinsic LLRs as a priori LLRs for the Bi-SDFE in another iterative estimation. The iterative bit extrinsic LLRs are interleaved and transmitted for use by the Bi-SDFE in another iterative estimation. After a plurality of iterations, a hard decision of the transmitted symbol is generated with the MAP and/or soft-decision decoder.

Integrated circuit, radio communication apparatus, and method

According to one embodiment, an integrated circuit receives first packet scrambled with a first scrambling seed and second packet scrambled with a second scrambling seed, generates inversion data, generate third likelihood information by inverting signs of the first likelihood information or the second likelihood information based on the inversion data, and generates fourth likelihood information based on the third likelihood information and the second or first likelihood information.

Procedure to update the parameters related to Unified Access Control
12058638 · 2024-08-06 · ·

A method for core network node comprises sending, to a User Equipment (UE) (300), a REGISTRATION ACCEPT message containing at least one operator-defined access category definitions wherein the containing at least one operator-defined access category definitions causes the UE to send REGISTRATION COMPLETE message; receiving, from the UE (300), a REGISTRATION COMPLETE message indicating acknowledge reception of the at least one operator-defined access category definitions.

Asynchronous wireless sensing

Low-complexity asynchronous wireless sensing and communication architecture is disclosed for low power wireless sensors. Schemes are based on asynchronous digital communications and Ultra-Wideband impulse radios. In asynchronous radio, combination of frequency-shift-keying (FSK) and on-off-keying (OOK) to remove clock synchronization is applied. Improved asynchronous non-coherent transmitters and receivers achieve both low power and low complexity while seamlessly combined with asynchronous level-crossing modulation. Both uncoded and coded asynchronous communication may be utilized. Coded asynchronous communication may use error correction. Forward error correction schemes for asynchronous sensor communication are utilized where dominant errors consist of pulse deletions and insertions, and where instantaneous encoding takes place. Forward error correction is also accomplished where a continuous-time sparse waveform signal is asynchronously sampled and communicated over a noisy channel via Q-ary frequency-shift keying. Concatenated code employs outer systematic convolutional codes and inner embedded marker codes that preserve timing information and protect against symbol insertions and deletions.

Soft FEC with parity check

A data transmission device includes a de-interleaver configured to receive, from a host device at a first data rate, a data stream including encoded data, de-interleave the data stream into a plurality of forward error correction (FEC) data streams, and output the plurality of FEC data streams at a second data rate less than the first data rate. Each of a plurality of interleavers is configured to interleave a respective one of the plurality of FEC data streams into an intermediate data stream including first data blocks and second data blocks. An encoder module configured to generate, for each of the intermediate data streams, FEC blocks including a first parity section and a first data section, the first parity section including a first parity bit corresponding to the first data blocks and a second parity bit corresponding to the second data blocks, and the first data section including the first data blocks and the second data blocks, and output the FEC blocks at the second data rate.

Technique for PAPR reduction in communication channel

A technique of mapping data, suitable for Peak to Average Power Ratio (PAPR) reduction while transmitting data portions via a communication channel limited by a peak power p.sub.peak. The mapping is performed by utilizing a Markovian symbol transition probability distribution with quantized probabilities and by selecting, for a specific data portion at a current channel state, such a binary symbol (called thinned label) which allows puncturing one or more bits in the thinned label's bit sequence before transmission.

High speed turbo decoder

A method for decoding a received code using a device that includes: an antenna for receiving a signal over a wireless channel, and instances of a Maximum-A-Posteriori (MAP) turbo decoder for decoding a segment of the received code, are disclosed. For example, the method, by forward and backward gamma engines, for each window, concurrently computes gamma branch metrics in forward and backward directions, respectively, by forward and backward state metric engines comprising respective lambda engines and coupled to the respective gamma engines, for each window, sequentially computes forward and backward state metrics, respectively, based on respective gamma branch metrics and respective initial values, by the lambda engines, determines Log Likelihood Ratios (LLRs) and soft decisions, and by a post-processor, computes extrinsic data based on the forward and backward state metrics for any subsequent iteration as at least a portion of the a-priori information and otherwise provides a decoded segment.