WO2018218610A1

WO2018218610A1 - Signal processing

Info

Publication number: WO2018218610A1
Application number: PCT/CN2017/086849
Authority: WO
Inventors: Chen Huang
Original assignee: Zte Corporation
Priority date: 2017-06-01
Filing date: 2017-06-01
Publication date: 2018-12-06
Also published as: CN110679100B; CN110679100A

Abstract

One or more devices, systems, and/or methods for facilitating processing of a signal are provided. For example, a property of at least one of a plurality of probability symbols of a symbol stream may be adjusted to generate an adjusted symbol stream. A signal may be generated based upon the adjusted symbol stream. The signal may be transmitted to a node.

Description

SIGNAL PROCESSING

BACKGROUND

A communication link between nodes (e.g., communication devices) , such as between a user equipment (UE) and a base station (BS) or between two UEs, may be facilitated using one or more transmitters and/or one or more receivers. For example, the BS may use a transmitter to generate one or more signals and/or transmit one or more signals to the UE. The UE may use a receiver to receive one or more signals and/or process one or more signals received from the BS. Alternatively and/or additionally, the UE may use a transmitter to generate one or more signals and/or transmit one or more signals to the BS. The BS may use a receiver to receive one or more signals and/or process one or more signals received from the UE.

SUMMARY

In accordance with the present disclosure, one or more devices and/or methods for facilitating processing of a signal are provided. In an example, a symbol stream comprising a plurality of probability symbols may be received. A parity bit stream may be received. A property of at least one of the plurality of probability symbols of the symbol stream may be adjusted, based upon the parity bit stream, to generate an adjusted symbol stream. A signal may be generated based upon the adjusted symbol stream. The signal may be transmitted to a node.

In an example, a system bit stream may be received. A parity bit stream may be received. The system bit stream may be interleaved with the parity bit stream, based upon a property, to generate a bit stream. The bit stream may be modulated to generate a modulated bit stream.

In an example, a property of at least one of a plurality of modulation symbols of a bit stream may be adjusted to generate an adjusted bit stream.

In an example, a bit stream comprising information may be received. The information may be mapped into a plurality of probability symbols. A non- uniform constellation point distribution, comprising a plurality of constellation points, may be generated based upon the plurality of probability symbols.

In an example, a bit stream comprising information may be received. The information may be mapped into a plurality of probability symbols. Instructions may be generated based upon the plurality of probability symbols. The instructions may be transmitted to a node_.

In an example, a symbol stream may be received from a node. A plurality of modulation symbols may be determined based upon the symbol stream. Instructions may be received from the node. The plurality of modulation symbols may be adjusted based upon the instructions_.

In an example, an adjusted symbol stream may be received from a node. Instructions, corresponding to adjusting a symbol stream, may be generated based upon the adjusted symbol stream. The instructions may be transmitted to the node_.

DESCRIPTION OF THE DRAWINGS

While the techniques presented herein may be embodied in alternative forms, the particular embodiments illustrated in the drawings are only a few examples that are supplemental of the description provided herein. These embodiments are not to be interpreted in a limiting manner, such as limiting the claims appended hereto.

Fig. 1A is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1B is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1C is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1D is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1E is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1F is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1G is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1H is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 1I is a flow chart illustrating an example method for facilitating processing of a signal.

Fig. 2 is a component block diagram illustrating an example system for processing a signal.

Fig. 3A is a diagram illustrating an example non-uniform constellation point distribution used by an example system for processing a signal.

Fig. 3B is a diagram illustrating an example non-uniform constellation point distribution used by an example system for processing a signal.

Fig. 4A is a diagram illustrating an example uniform constellation point distribution used by an example system for processing a signal.

Fig. 4B is a diagram illustrating an example uniform constellation point distribution used by an example system for processing a signal.

Fig. 5 is a component block diagram illustrating an example system for processing a signal.

Fig. 6 is a component block diagram illustrating an example system for processing a signal.

Fig. 7 is a component block diagram illustrating an example system for processing a signal.

Fig. 8 is a component block diagram illustrating an example system for processing a signal.

Fig. 9 is a diagram illustrating an example representation of probabilistic shaped symbol demapping.

Fig. 10 is a diagram illustrating an example representation of probabilistic shaped symbol mapping.

Fig. 11 is a component block diagram illustrating an example system for processing a signal.

Fig. 12 is a component block diagram illustrating an example system for processing a signal.

Fig. 13 is a component block diagram illustrating an example system for processing a signal.

Fig. 14 is an illustration of a scenario involving an example configuration of a base station (BS) that may utilize and/or implement at least a portion of the techniques presented herein.

Fig. 15 is an illustration of a scenario involving an example configuration of a user equipment (UE) that may utilize and/or implement at least a portion of the techniques presented herein.

Fig. 16 is an illustration of a scenario featuring an example non-transitory computer readable medium in accordance with one or more of the provisions set forth herein.

DETAILED DESCRIPTION

Subject matter will now be described more fully hereinafter with reference to the accompanying drawings, which form a part hereof, and which show, by way of illustration, specific example embodiments. This description is not intended as an extensive or detailed discussion of known concepts. Details that are known generally to those of ordinary skill in the relevant art may have been omitted, or may be handled in summary fashion.

The following subject matter may be embodied in a variety of different forms, such as methods, devices, components, and/or systems. Accordingly, this subject matter is not intended to be construed as limited to any example embodiments set forth herein. Rather, example embodiments are provided merely to be illustrative. Such embodiments may, for example, take the form of hardware, software, firmware or any combination thereof.

One or more computing devices and/or techniques for facilitating processing of a signal are provided. For example, a user equipment (UE) may connect to a (e.g., (e.g., wireless and/or wired) communication) network via a base station (BS) of the network. The UE may transmit information to the BS via signals, such that the BS receives the signals. The BS may transmit information to the UE via signals, such that the UE receives the signals. Transmission of information via signals may involve the transmitter encoding and/or modulating the information. To be able to use the information in the signal received, the receiver may decode and/or demodulate the signal. Some methods of modulating information and/or otherwise processing signals may use uniform distributions of constellation points and/or have a data rate significantly (e.g., exceeding a threshold) different from Shannon’s capacity (e.g., and thus provide for communication between the BS and the UE that is less reliable and/or associate with a lower data rate than is possible and/or desirable) . Other methods may use constellation designs that are complex and thus prone to negatively affecting the data rate when a signal-to-noise ratio (SNR) does not align with the constellation design, and/or may (e.g., merely) be able to control a limited aspect of symbols (e.g., and thus prove to be inflexible in association with encoding information) . Thus, in accordance with one or more of the techniques presented herein, the processing of signals may be facilitated in a manner that balances the limiting of complexity with the provision of flexibility in association with encoding information and/or providing for the capability of the UE to provide for optimal communication (e.g., with improved quality, reduced processing, memory and/or bandwidth usage, etc. ) between the BS (e.g., and/or one or more other BSs) and the UE (e.g., and/or one or more other UEs) .

An example method 100 of facilitating adjustment of a symbol stream to generate an adjusted symbol stream is illustrated in Fig. 1A. A probabilistic shaped symbol mapping module may receive an information bit stream comprising information. The probabilistic shaped symbol mapping module may (e.g., then) map the information into a plurality of probability symbols comprised within a symbol stream. A probabilistic shaped symbol to bit stream mapping module may (e.g., then) receive the symbol stream and generate a bit stream based upon the symbol stream. An encoding module may encode the bit stream into a parity bit stream.

Accordingly, at 105, a modulation adjustment module may receive the symbol stream comprising the plurality of symbols. At 110, the modulation adjustment module may receive the parity bit stream. At 115, the modulation adjustment module may adjust a property (e.g., amplitude, angle, latitude, polarity, etc. ) of at least one of the plurality of probability symbols, based upon the parity bit stream, to generate an adjusted symbol stream. A polarity of a symbol may correspond to a sign (e.g., positive and/or negative) of a state of the symbol (e.g., and/or a state of a portion of a signal corresponding to the symbol and/or corresponding to one or more symbols associated with (e.g., adjacent to) the symbol) . Adjusting the polarity of the symbol may comprise changing and/or preserving the sign of the state of the symbol (e.g., multiplying the symbol by -1 and/or 1) .

The modulation adjustment module may output the adjusted symbol stream to an output destination (e.g., a modulation module) . At 120, the modulation adjustment module may generate a (e.g., modulated) signal based upon the adjusted symbol stream. At 125, the output destination (e.g., modulation module) may transmit the signal to a (e.g., wireless and/or wired) node. It may be appreciated that at least some of the modules, diagrams and/or techniques of Figs. 2-5 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 100.

An example method 101 of interleaving a system bit stream with a parity bit stream to generate a bit stream is illustrated in Fig. 1 B. At 130, an interleaving module may receive a system bit stream. At 135, the interleaving module may receive a parity bit stream. At 140, the interleaving module may interleave the system bit stream with the parity bit stream, based on a property (e.g., coding rate) , to generate a bit stream (e.g., an adjusted system bit stream) . The interleaving module may output the bit stream to a modulation module. At 145, the modulation module may modulate the bit stream to generate a modulated bit stream. It may be appreciated that at least some of the modules and/or techniques of Fig. 2 and Fig. 5 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 101.

An example method 102 of facilitating adjustment of a plurality of modulation symbols is illustrated in Fig. 1 C. A modulation module may receive a modulated symbol stream and may (e.g., then) demodulate the modulated symbol stream to generate a bit stream. At 150, a deinterleaving module may receive the bit stream and adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of at least one of a plurality of modulation symbols of the bit stream to generate an adjusted bit stream. It may be appreciated that at least some of the modules and/or techniques of Figs. 6-10 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 102.

An example method 103 of generating a non-uniform constellation point distribution is illustrated in Fig. 1 D. At 155, a probabilistic shaped symbol mapping module may receive a bit stream comprising information. At 160, the probabilistic shaped symbol mapping module may map the information into a plurality of probability symbols. The plurality of probability symbols may conform to a non-uniform distribution (e.g., Gaussian distribution) . At 165, the probabilistic shaped symbol mapping module may generate a non-uniform constellation point distribution, comprising a plurality of constellation points, based upon the plurality of probability symbols. A modulation adjustment module may modify the non-uniform constellation point distribution and/or a property (e.g., angle, amplitude, polarity, latitude, etc. ) of at least one of the plurality of constellation points (e.g., plurality of probability symbols) to generate a modified non-uniform constellation point distribution. It may be appreciated that at least some of the modules and/or techniques of Fig. 2 and Fig. 5 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 103.

An example method 104 of facilitating signaling interaction between a transmitter and a receiver is illustrated in Fig. 1 E. At 170, a probabilistic shaped symbol mapping module may receive an information bit stream comprising information. At 175, the probabilistic shaped symbol mapping module may (e.g., then) map the information into a plurality of probability symbols. At 180, the transmitter may generate instructions based upon the plurality of probability symbols. At 185, the transmitter may (e.g., then) transmit the instructions to the receiver. The instructions may comprise a recommended conversion rate (e.g., or an amount by which to adjust a conversion rate) . Alternatively and/or additionally, the instructions may comprise a recommended coding rate (e.g., or an amount by which to adjust a coding rate) . Alternatively and/or additionally, the instructions may comprise a recommended modulation constellation indication (e.g., or an amount by which to adjust a modulation constellation indication) . Alternatively and/or additionally, the instructions may comprise instructions for modifying a process of adjusting a symbol stream. It may be appreciated that at least some of the modules and/or techniques of Fig. 12 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 104.

An example method 106 of facilitating signaling interaction between a transmitter and a receiver is illustrated in Fig. 1 F. The transmitter may be configured to transmit a modulated signal comprising a symbol stream to the receiver. Accordingly, at 186, the receiver receives the symbol stream from the transmitter. At 188, the receiver may determine a plurality of modulation symbols based upon the symbol stream (e.g., by demodulating the modulated signal) . At 190, the receiver may receive instructions from the transmitter. At 192, the receiver may detect and/or adjust the plurality of modulation symbols based upon the instructions. For example, the receiver may adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of at least one of the plurality of modulation symbols based upon a value comprised within the instructions. It may be appreciated that at least some of the modules and/or techniques of Fig. 11 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 106.

An example method 107 of facilitating signaling interaction between a transmitter and a receiver is illustrated in Fig. 1 G. The transmitter may be configured to transmit a (e.g., probability forming) modulated signal, comprising an adjusted symbol stream, to the receiver. Accordingly, at 194, the receiver receives an adjusted symbol stream from the transmitter. At 196, the receiver may generate (e.g., feedback) instructions, corresponding to adjusting a symbol stream, based upon the adjusted symbol stream of the modulated signal. The receiver may generate the (e.g., feedback) instructions in order to help the transmitter process (e.g., modulate, encode, adjust, etc. ) an information bit stream. At 198, the receiver may transmit the (e.g., feedback) instructions to the transmitter. It may be appreciated that at least some of the modules and/or techniques of Fig. 13 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 107.

An example method 108 usable for facilitating signaling interaction between a transmitter and a receiver is illustrated in Fig. 1 H. At least some of the method may be performed iteratively. Accordingly, at 102H, a first bit stream is decoded to generate a decoded bit stream. At 104H, the decoded bit stream is demapped to generate an information bit stream. At 106H, the information bit stream is mapped to generate a second bit stream. At 108H, the second bit stream is encoded to generate a third bit stream. It may be appreciated that at least some of the modules and/or techniques of Figs. 7 and/or 8 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 108.

An example method 109 of facilitating signaling interaction between a transmitter and a receiver is illustrated in Fig. 1 I. At 102I, a probabilistic shaped symbol mapping module may receive an information bit stream comprising information. At 104I, the probabilistic shaped symbol mapping module may (e.g., then) receive instructions. At 106I, the probabilistic shaped symbol mapping module may (e.g., then) map the information into a plurality of probability symbols based upon the instructions. At 108I, the transmitter may (e.g., then) transmit the plurality of probability symbols to the receiver. The instructions may comprise a recommended conversion rate (e.g., or an amount by which to adjust a conversion rate) . Alternatively and/or additionally, the instructions may comprise a recommended coding rate (e.g., or an amount by which to adjust a coding rate) . Alternatively and/or additionally, the instructions may comprise a recommended modulation constellation indication (e.g., or an amount by which to adjust a modulation constellation indication) . Alternatively and/or additionally, the instructions may comprise instructions for modifying a process of adjusting a symbol stream. It may be appreciated that at least some of the modules and/or techniques of Fig. 12 (e.g., and/or other Figs. ) may be incorporated and/or implemented in the performance of method 109.

Fig. 2 illustrates an example of a system 200 for facilitating adjustment of an information bit stream provided by and/or received from an input source 205. In some examples, one or more modules of the system 200 may be part of a transmitter. The information bit stream may comprise a plurality of information bits. A probabilistic shaped symbol mapping module 210 may receive the information bit stream and map the plurality of information bits into a plurality of probability symbols.

The probabilistic shaped symbol mapping module 210 may output a symbol stream comprising the plurality of probability symbols. The probabilistic shaped symbol mapping module 210 may map the plurality of information bits such that the plurality of probability symbols conforms to a non-uniform (e.g., Gaussian) distribution. The probabilistic shaped symbol mapping module 210 may output the symbol stream to a probabilistic shaped symbol to bit stream mapping module 215 and to a modulation adjustment module 225.

The probabilistic shaped symbol to bit stream mapping module 215 may receive the symbol stream and generate a bit stream based upon the symbol stream. For example, the probabilistic shaped symbol to bit stream mapping module 215 may convert the symbol stream into the bit stream. The probabilistic shaped symbol to bit stream mapping module 215 may (e.g., then) output the bit stream to an encoding module 220.

The encoding module 220 may receive the bit stream and generate a parity bit stream based upon the bit stream. For example, the encoding module 220 may encode the bit stream into the parity bit stream. The encoding module 220 may use one or more of various coding methods (e.g., low-density parity-check (LDPC) , turbo code, convolutional code, etc. ) for the encoding. A coding rate of the encoding module 220 may be based upon coding instructions and may be adjusted according to the coding instructions. The encoding module 220 may output the parity bit stream to the modulation adjustment module 225.

The modulation adjustment module 225 may receive the symbol stream (e.g., from the probabilistic shaped symbol mapping module 210) and/or the parity bit stream (e.g., from the encoding module 220) . The modulation adjustment module 225 (e.g., and/or the probabilistic shaped symbol mapping module 210) may generate a non-uniform constellation point distribution based upon the plurality of probability symbols of the symbol stream. For example, a plurality of constellation points of the non-uniform constellation point distribution may be distributed non-uniformly. The modulation adjustment module 225 may (e.g., then) modify the non-uniform constellation point distribution to generate a modified non-uniform constellation point distribution, as illustrated in diagram 300 of Fig. 3A and/or diagram 350 of Fig. 3B.

For example, the modulation adjustment module 225 may modify the non-uniform constellation point distribution based upon the parity bit stream. The modulation adjustment module 225 may add one or more parity constellation points, corresponding to a parity bit of the parity bit stream, to the non-uniform constellation point distribution. In diagram 300 in Fig. 3A and/or diagram 350 in Fig. 3B, parity constellation points (e.g., such as parity constellation point 305 and/or parity constellation point 355) are shown as asterisks while constellation points (e.g., such as constellation point 310 and/or constellation point 360) are shown as circled asterisks. For example, in response to a parity bit of the parity bit stream being equal to a first value (e.g., 1) , a parity constellation point may be added to the non-uniform constellation point distribution. In response to a parity bit of the parity bit stream being equal to a second value (e.g., 0) , a parity constellation point may not be added (e.g., and/or no modification may be made) to the non-uniform constellation point distribution.

The modulation adjustment module 225 may modify the non-uniform constellation point distribution by adjusting a property (e.g., polarity, latitude, etc. ) of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of a plurality of parity constellation points. The modulation adjustment module 225 may modify the non-uniform constellation point distribution by adjusting an angle (e.g., phase) of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of the plurality of parity constellation points, as illustrated in Fig. 3A. For example, in diagram 300, an angle of the constellation point 310 is adjusted by the parity constellation point 305. The modulation adjustment module 225 may modify the non-uniform constellation point distribution by adjusting an amplitude of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of the plurality of parity constellation points, as illustrated in Fig. 3B. For example, in diagram 350, an amplitude of the constellation point 360 is adjusted by the parity constellation point 355.

The modulation adjustment module 225 (e.g., and/or the probabilistic shaped symbol mapping module 210) may generate a uniform constellation point distribution based upon the plurality of probability symbols of the symbol stream. For example, a plurality of constellation points of the uniform constellation point distribution may be distributed uniformly. The modulation adjustment module 225 may (e.g., then) modify the uniform constellation point distribution to generate a modified uniform constellation point distribution, as illustrated in diagram 400 of Fig. 4A and/or diagram 450 of Fig. 4B.

For example, the modulation adjustment module 225 may modify the uniform constellation point distribution based upon the parity bit stream. The modulation adjustment module 225 may add one or more parity constellation points, corresponding to a parity bit of the parity bit stream, to the uniform constellation point distribution. In diagram 400 in Fig. 4A and/or diagram 450 in Fig. 4B, parity constellation points (e.g., such as parity constellation point 405 and/or parity constellation point 455) are shown as asterisks while constellation points (e.g., such as constellation point 410 and/or constellation point 460) are shown are shown as circled asterisks. For example, in response to a parity bit of the parity bit stream being equal to a first value (e.g., 1) , a parity constellation point may be added to the uniform constellation point distribution. In response to a parity bit of the parity bit stream being equal to a second value (e.g., 0) , a parity constellation point may not be added (e.g., and/or no modification may be made) to the uniform constellation point distribution.

The modulation adjustment module 225 may modify the uniform constellation point distribution by adjusting a property (e.g., polarity, latitude, etc. ) of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of a plurality of parity constellation points. The modulation adjustment module 225 may modify the uniform constellation point distribution by adjusting a real part of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of the plurality of parity constellation points, as illustrated in Fig. 4A. For example, in diagram 400, a real part of the constellation point 410 is adjusted by the parity constellation point 405. The modulation adjustment module 225 may modify the uniform constellation point distribution by adjusting a polarity of at least one of the plurality of constellation points (e.g., and/or at least one of the plurality of probability symbols) based upon at least one of the plurality of parity constellation points, as illustrated in Fig. 4B. For example, in diagram 450, in response to the parity constellation point 455 (e.g., and/or at least one corresponding parity bit) being equal to a first value (e.g., 01) , an imaginary part of the constellation point 460 becomes (e.g., and/or stays) negative. Alternatively and/or additionally, in response to a parity constellation point 465 (e.g., and/or at least one corresponding parity bit) being equal to a second value (e.g., 10) , a real part of the constellation point 460 becomes (e.g., and/or stays) negative. Alternatively and/or additionally, in response to a parity constellation point 470 (e.g., and/or at least one corresponding parity bit) being equal to a third value (e.g., 11) , the imaginary part of the constellation point 460 and/or the real part of the constellation point 460 become (e.g., and/or stay) negative. Alternatively and/or additionally, in response to a parity constellation point (e.g., and/or at least one corresponding parity bit) being equal to a fourth value (e.g., 00) , the imaginary part of the constellation point 460 and/or the real part of the constellation point 460 are not changed.

The modulation adjustment module 225 may (e.g., then) generate an adjusted symbol stream based upon the modified non-uniform constellation point distribution and/or the modified uniform constellation point distribution. In some examples, the modulation adjustment module 225 may generate the adjusted symbol stream based upon (e.g. merely) the modified non-uniform constellation point instead of (e.g., exclusive of) the modified uniform constellation point distribution. In some examples, the modulation adjustment module 225 may generate the adjusted symbol stream based upon (e.g. merely) the modified uniform constellation point instead of (e.g., exclusive of) the modified non-uniform constellation point distribution. The modulation adjustment module 225 may output the adjusted symbol stream to an output destination 230 (e.g., modulation module) . The output destination 230 (e.g., modulation module) may receive the adjusted symbol stream and generate a modulated signal comprising a modulated symbol stream by modulating the adjusted symbol stream (e.g., based upon phase-shift keying (PSK) modulation, amplitude-shift keying (ASK) modulation, quadrature amplitude modulation (QAM) , etc. ) . The output destination 230 may (e.g., then) transmit the modulated signal to a node (e.g., receiver) .

In some examples, one or more modules of the system 200 may be part of a user equipment (UE) . Alternatively and/or additionally, one or more modules of the system 200 may be part of a base station (BS) .

Fig. 5 illustrates an example of a system 500 for facilitating adjustment of an information bit stream provided by and/or received from an input source 505. In some examples, one or more modules of the system 500 may be part of a transmitter. The information bit stream may comprise a plurality of information bits. A probabilistic shaped bit mapping module 510 may receive the information bit stream and map the plurality of information bits into a plurality of probability symbols. The probabilistic shaped bit mapping module 510 may generate a system bit stream comprising the plurality of probability symbols. The probabilistic shaped bit mapping module 510 may map the plurality of information bits such that the plurality of probability symbols conforms to a non-uniform (e.g., Gaussian) distribution.

The probabilistic shaped bit mapping module 510 may comprise a probabilistic shaped symbol mapping module 210 to generate a symbol stream and/or a probabilistic shaped symbol to bit stream mapping module 215 to generate the system bit stream, based on the symbol stream, as illustrated in Fig. 2. The probabilistic shaped bit mapping module 510 may (e.g., then) output the system bit stream to an encoding module 515 and/or to an interleaving module 520.

The encoding module 515 may receive the system bit stream and generate a parity bit stream based upon the system bit stream. For example, the encoding module 515 may encode the system bit stream into the parity bit stream. The encoding module 515 may use one or more of various coding methods (e.g., LDPC, turbo code, convolutional code, etc. ) for the encoding. A coding rate of the encoding module 515 may be based upon coding instructions and may be adjusted according to the coding instructions. The encoding module 515 may output the parity bit stream to the interleaving module 520.

The interleaving module 520 may receive the system bit stream (e.g., from the probabilistic shaped bit mapping module 510) and/or the parity bit stream (e.g., from the encoding module 515) . The interleaving module 520 (e.g., and/or the probabilistic shaped bit mapping module 510) may generate a non-uniform constellation point distribution based upon the plurality of probability symbols of the system bit stream. For example, a plurality of constellation points of the non-uniform constellation point distribution may be distributed non-uniformly.

The interleaving module 520 may interleave the system bit stream with the parity bit stream by arranging the parity bit stream and the system bit stream, in accordance with the coding rate, in such a way as to modify the non-uniform constellation point distribution to generate a modified non-uniform constellation point distribution. Some examples of modifying the non-uniform constellation point distribution are discussed in relation to the modulation adjustment module 225, and may (e.g., further) be implemented in association with the interleaving module 520 and/or one or more other modules of system 500.

The interleaving module 520 may (e.g., then) generate an adjusted system bit stream based upon the modified non-uniform constellation point distribution. The interleaving module 520 may output the adjusted system bit stream to a modulation module 525. The modulation module 525 may receive the adjusted system bit stream and generate a modulated signal by modulating the adjusted system bit stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . The modulation module 525 may (e.g., then) transmit the modulated signal to an output destination 530 (e.g., a node) (e.g., a receiver) .

In some examples, one or more modules of the system 500 may be part of a UE. Alternatively and/or additionally, one or more modules of the system 200 may be part of a BS.

Fig. 6 illustrates an example of a system 600 for facilitating adjustment of a modulated symbol stream provided by and/or received from an input source 605. In some examples, one or more modules of the system 600 may be part of a receiver. In some examples, the input source 605 may be a node. A demodulation module 610 may receive the modulated symbol stream and generate a bit stream by demodulating the modulated symbol stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . Alternatively and/or additionally, the demodulation module 610 may receive a modulated bit stream provided by and/or received from the input source 605 and generate the bit stream by demodulating the modulated bit stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . The demodulation module 610 may output the bit stream to a deinterleaving module 615.

The deinterleaving module 615 may receive the bit stream and deinterleave (e.g., by constraining constellation points of the bit stream) the bit stream to generate a deinterleaved bit stream. The deinterleaving module 615 may adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) based upon a coding rate. Alternatively and/or additionally, the deinterleaving module 615 may determine (e.g., extract) a parity constellation point of the bit stream (e.g., and/or a parity bit of the bit stream) . Alternatively and/or additionally, the deinterleaving module 615 may determine (e.g., extract) the parity constellation point (e.g., and/or parity bit) based upon a polarity of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) . The deinterleaving module 615 may output the deinterleaved bit stream to a decoding module 620.

The decoding module 620 may receive the deinterleaved bit stream and generate a system bit stream, based upon the deinterleaved bit stream. Alternatively and/or additionally, the system bit stream may comprise a plurality of probability symbols. For example, the decoding module 620 may decode the deinterleaved bit stream to the system bit stream. The system bit stream may be generated to conform to a non-uniform distribution (e.g., Gaussian distribution) . The decoding module 620 may output the system bit stream to a probabilistic shaped bit demapping module 625.

The probabilistic shaped bit demapping module 625 may receive the system bit stream. The probabilistic shaped bit demapping module 625 may generate an information bit stream based upon the system bit stream. Alternatively and or additionally, the probabilistic shaped bit demapping module 625 may demap the plurality of probability symbols of the system bit stream into a plurality of information bits comprised within the information bit stream. The probabilistic shaped bit demapping module 625 may (e.g., then) transmit (e.g., output) the information bit stream to an output destination 630 (e.g., part of a UE and/or part of a BS) .

In some examples, one or more modules of the system 600 may be part of a UE. Alternatively and/or additionally, one or more modules of the system 600 may be part of a BS.

Fig. 7 illustrates an example of a system 700 for facilitating adjustment of a modulated symbol stream provided by and/or received from an input source 705. In some examples, one or more modules of the system 700 may be part of a receiver. In some examples, the input source 705 may be a node. A demodulation module 710 may receive the modulated symbol stream and generate a bit stream by demodulating the modulated symbol stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . Alternatively and/or additionally, the demodulation module 710 may receive a modulated bit stream provided by and/or received from the input source 705 and generate the bit stream based upon demodulating the modulated bit stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . The demodulation module 710 may output the bit stream to a deinterleaving module 715.

The deinterleaving module 715 may receive the bit stream and deinterleave (e.g., by constraining constellation points of the bit stream) the bit stream to generate a deinterleaved bit stream. The deinterleaving module 715 may adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) based upon a coding rate. Alternatively and/or additionally, the deinterleaving module 715 may determine (e.g., extract) a parity constellation point of the bit stream (e.g., and/or a parity bit of the bit stream) . Alternatively and/or additionally, the deinterleaving module 715 may determine (e.g., extract) the parity constellation point (e.g., and/or parity bit) based upon a polarity of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) . The deinterleaving module 715 may output the deinterleaved bit stream to a decoding module 720.

In some examples, the decoding module 720, a probabilistic shaped soft bit demapping module 725, a soft bit encoding module 745 and/or a probabilistic shaped soft bit mapping module 730 may be part of an iterative process.

The decoding module 720 may receive the deinterleaved bit stream and generate a decoded soft bit stream, based upon the deinterleaved bit stream. Alternatively and/or additionally, the decoded soft bit stream may comprise a plurality of probability symbols. In some examples, the decoding module 720 may decode the deinterleaved bit stream to the decoded soft bit stream. The decoded soft bit stream may be generated to conform to a non-uniform distribution (e.g., a Gaussian distribution) . The decoding module 720 may output the decoded soft bit stream to the probabilistic shaped soft bit demapping module 725. Alternately and/or additionally, the decoding module 720 may output the decoded soft bit stream and a log likelihood ratio (LLR) of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the probabilistic shaped soft bit demapping module 725.

The probabilistic shaped bit demapping module 725 may receive the decoded soft bit stream. The probabilistic shaped bit demapping module 725 may generate a soft information bit stream based upon the decoded soft bit stream. Alternatively and or additionally, the probabilistic shaped bit demapping module 725 may demap the plurality of probability symbols of the decoded soft bit stream into a plurality of soft information bits comprised within the soft information bit stream.

In some examples, the probabilistic shaped soft bit demapping module 725 may map (e.g., process) the decoded soft bit stream into a decoded soft symbol stream. The probabilistic shaped soft bit demapping module 725 may (e.g., then) perform (e.g., probabilistic shaped soft) symbol-to-symbol demapping to the decoded soft symbol stream, as graphically illustrated in representation 900 of Fig. 9 (e.g., and/or representation 1000 of Fig. 10) , to generate a soft information symbol stream. The probabilistic shaped soft bit demapping module 725 may (e.g., then) demodulate the soft information symbol stream to generate the soft information bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit demapping module 725 may (e.g., soft) modulate the decoded soft bit stream (e.g., according to probabilistic shaped soft bit-to-symbol demapping) to generate the soft information symbol stream. The probabilistic shaped soft bit demapping module 725 may (e.g., then) demodulate the soft information symbol stream to generate the soft information bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit demapping module 725 may demap (e.g., and/or modulate) the decoded soft bit stream (e.g., according to probabilistic shaped soft bit-to-bit demapping) to generate the soft information bit stream.

In response to the iteration being completed, a decision module 735 may receive the soft information bit stream. Alternatively and or additionally, in response to the iteration not being completed, the probabilistic shaped soft bit mapping module 730 may receive the soft information bit stream.

The probabilistic shaped soft bit mapping module 730 may receive the soft information bit stream and may generate a soft bit stream based upon the soft information bit stream. Alternatively and or additionally, the probabilistic shaped soft bit mapping module 730 may map the soft information bit stream into the soft bit stream, comprising a prior probability (e.g., of a system bit) .

In some examples, the probabilistic shaped soft bit mapping module 730 may map the soft information bit stream into a soft information symbol stream. The probabilistic shaped soft bit mapping module 730 may (e.g., then) perform (e.g., probabilistic shaped soft) symbol-to-symbol mapping to the soft information symbol stream, as graphically illustrated in Fig. 10 (e.g., and/or Fig. 9) , to generate a soft symbol stream. The probabilistic shaped soft bit mapping module 730 may (e.g., then) demodulate the soft symbol stream to generate the soft bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit mapping module 730 may (e.g., soft) modulate the soft information bit stream (e.g., according to probabilistic shaped soft bit-to-symbol demapping) to generate the soft symbol stream. The probabilistic shaped soft bit mapping module 730 may (e.g., then) demodulate the soft symbol stream to generate the soft bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit mapping module 730 may map (e.g., and/or modulate) the soft information bit stream (e.g., according to probabilistic shaped soft bit-to-bit mapping) to generate the soft bit stream.

The soft bit encoding module 745 may receive the soft bit stream and generate an encoded soft bit stream based upon the soft bit stream. In some examples, the soft bit encoding module 745 may (e.g., soft bit) encode the soft bit stream into the encoded soft bit stream. The soft bit encoding module 745 may (e.g., then) output the encoded soft bit stream to the decoding module 720.

The decoding module 720 may receive the soft bit stream and/or the encoded soft bit stream and generate the decoded soft bit stream, based upon the soft bit stream and/or the encoded soft bit stream. The decoding module 720 may output the decoded soft bit stream to the probabilistic shaped soft bit demapping module 725. Alternately and/or additionally, the decoding module 720 may output the decoded soft bit stream and the LLR of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the probabilistic shaped soft bit demapping module 725.

The iterative process corresponding to the decoding module 720, the probabilistic shaped soft bit demapping module 725, the soft bit encoding module 745 and/or the probabilistic shaped soft bit mapping module 730 may repeat one or more times. The iterative process may be determined to be (e.g., sufficiently) completed (e.g., and the last iteration and/or most recent version of the soft information bit stream provided to the decision module 735) when a determination is made that a threshold (e.g., number of iterations, or a certain parameter of the soft information bit stream output by the probabilistic shaped soft bit demapping module 725) is met.

In response to the iteration being completed, the decision module 735 may receive the (e.g., most recent) soft information bit stream. The decision module 735 may (e.g., then) process (e.g., hard-determined) the soft information bit stream to generate an information bit stream. The decision module 735 may (e.g., then) transmit (e.g., output) the information bit stream to an output destination 740 (e.g., part of a UE and/or part of a BS) .

In some examples, one or more modules of the system 700 may be part of a UE. Alternatively and/or additionally, one or more modules of the system 700 may be part of a BS.

Fig. 8 illustrates an example of a system 800 for facilitating adjustment of a modulated symbol stream provided by and/or received from an input source 805. In some examples, one or more modules of the system 800 may be part of a receiver. In some examples, the input source 805 may be a node.

In some examples, a demodulation module 810, a deinterleaving module 815, a decoding module 820, a probabilistic shaped soft bit demapping module 825, a probabilistic shaped soft bit mapping module 830, a soft bit encoding module 835 and/or a soft bit interleaving module 840 may be part of an iterative process.

The demodulation module 810 may receive the modulated symbol stream and generate a bit stream based upon demodulating the modulated symbol stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . Alternatively and/or additionally, the demodulation module 810 may receive a modulated bit stream provided by and/or received from the input source 805 and generate the bit stream based upon demodulating the modulated bit stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . The demodulation module 810 may output the bit stream to the deinterleaving module 815. Alternately and/or additionally, the demodulation module 810 may output the bit stream and/or an LLR of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the deinterleaving module 815.

The deinterleaving module 815 may receive the bit stream and deinterleave the bit stream (e.g., by constraining constellation points of the bit stream) to generate a deinterleaved bit stream. The deinterleaving module 815 may adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) based upon a coding rate. Alternatively and/or additionally, the deinterleaving module 815 may determine (e.g., extract) a parity constellation point of the bit stream (e.g., and/or a parity bit of the bit stream) . Alternatively and/or additionally, the deinterleaving module 815 may determine (e.g., extract) the parity constellation point (e.g., and/or parity bit) based upon a polarity of a constellation point of the bit stream (e.g., and/or a bit of the bit stream) . The deinterleaving module 815 may output the deinterleaved bit stream to the decoding module 820.

The decoding module 820 may receive the deinterleaved bit stream and generate a decoded soft bit stream, based upon the deinterleaved bit stream. Alternatively and/or additionally, the decoded soft bit stream may comprise a plurality of probability symbols. In some examples, the decoding module 820 may decode the deinterleaved bit stream into the decoded soft bit stream. The decoded soft bit stream may be generated to conform to a non- uniform distribution (e.g., a Gaussian distribution) . The decoding module 820 may output the decoded soft bit stream to the probabilistic shaped soft bit demapping module 825. Alternately and/or additionally, the decoding module 820 may output the decoded soft bit stream and an LLR of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the probabilistic shaped soft bit demapping module 825.

The probabilistic shaped bit demapping module 825 may receive the decoded soft bit stream. The probabilistic shaped bit demapping module 825 may generate a soft information bit stream based upon the decoded soft bit stream. Alternatively and or additionally, the probabilistic shaped bit demapping module 825 may demap the plurality of probability symbols of the decoded soft bit stream into a plurality of soft information bits comprised within the soft information bit stream.

In some examples, the probabilistic shaped soft bit demapping module 825 may map (e.g., process) the decoded soft bit stream into a decoded soft symbol stream. The probabilistic shaped soft bit demapping module 825 may (e.g., then) perform (eg ., probabilistic shaped soft) symbol-to-symbol demapping to the decoded soft symbol stream, as graphically illustrated in Fig. 9 (e.g., and/or Fig. 10) to generate a soft information symbol stream. The probabilistic shaped soft bit demapping module 825 may (e.g., then) demodulate the soft information symbol stream to generate the soft information bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit demapping module 825 may (e.g., soft) modulate the decoded soft bit stream (e.g., according to probabilistic shaped soft bit-to-symbol demapping) to generate the soft information symbol stream. The probabilistic shaped soft bit demapping module 825 may (e.g., then) demodulate the soft information symbol stream to generate the soft information bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit demapping module 825 may demap (e.g., and/or modulate) the decoded soft bit stream (e.g., according to probabilistic shaped soft bit-to-bit demapping) to generate the soft information bit stream.

The iterative process (e.g., and/or one or portions of the iterative process) corresponding to the demodulation module 810, the deinterleaving module 815, the decoding module 820, the probabilistic shaped soft bit demapping module 825, a probabilistic shaped soft bit mapping module 830, the soft bit encoding module 835 and/or the soft bit interleaving module 840 may repeat one or more times. The iterative process (e.g., and/or one or portions of the iterative process) may be determined to be (e.g., sufficiently) completed (e.g., and the last iteration and/or most recent version of the soft information bit stream provided to a decision module 845) when a determination is made that a threshold (e.g., number of iterations, or a certain parameter of the soft information bit stream output by the probabilistic shaped soft bit demapping module 725) is met.

In response to the iteration being completed, the decision module 845 may receive the soft information bit stream. Alternatively and or additionally, in response to the iteration not being completed, the probabilistic shaped soft bit mapping module 830 may receive the soft information bit stream.

The probabilistic shaped soft bit mapping module 830 may receive the soft information bit stream and may generate a soft bit stream based upon the soft information bit stream. Alternatively and or additionally, the probabilistic shaped soft bit mapping module 830 may map the soft information bit stream into the soft bit stream, comprising a prior probability (e.g., of a system bit) .

In some examples, the probabilistic shaped soft bit mapping module 830 may map the soft information bit stream into a soft information symbol stream. The probabilistic shaped soft bit mapping module 830 may (e.g., then) perform (e.g., probabilistic shaped soft) symbol-to-symbol mapping to the soft information symbol stream, as graphically illustrated in Fig. 10 (e.g., and/or Fig. 9) to generate a soft symbol stream. The probabilistic shaped soft bit mapping module 830 may (e.g., then) demodulate the soft symbol stream to generate the soft bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit mapping module 830 may (e.g., soft) modulate the soft information bit stream (e.g., according to probabilistic shaped soft bit-to-symbol demapping) to generate the soft symbol stream. The probabilistic shaped soft bit mapping module 830 may (e.g., then) demodulate the soft symbol stream to generate the soft bit stream.

Alternatively and/or additionally, the probabilistic shaped soft bit mapping module 830 may map (e.g., and/or modulate) the soft information bit stream (e.g., according to probabilistic shaped soft bit-to-bit mapping) to generate the soft bit stream.

The soft bit encoding module 835 may receive the soft bit stream and generate an encoded soft bit stream based upon the soft bit stream. In some examples, the soft bit encoding module 835 may (e.g., soft bit) encode the soft bit stream into the encoded soft bit stream. The soft bit encoding module 835 may (e.g., then) output the encoded soft bit stream to the soft bit interleaving module 840.

The soft bit interleaving module 840 may receive the encoded soft bit stream and the soft bit stream. The soft bit interleaving module 840 may interleave the soft bit stream with the encoded soft bit stream, to generate an adjusted soft bit stream. The soft bit interleaving module 840 may output the adjusted soft bit stream to the demodulation module 810. Alternatively and/or additionally, the soft bit interleaving module 840 may output the adjusted soft bit stream and a LLR of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the demodulation module 810.

The demodulation module 810 may receive the adjusted soft bit stream and generate the bit stream based upon demodulating the modulated symbol stream (e.g., based upon PSK modulation, ASK modulation, QAM, etc. ) . The demodulation module 810 may output the bit stream to the deinterleaving module 815. Alternately and/or additionally, the demodulation module 810 may output the bit stream and a LLR of a prior probability (e.g., of a system bit) (e.g., in conjunction with one another) to the deinterleaving module 815.

In response to the iteration being completed, the decision module 845 may receive the (e.g., most recent and/or last iteration of the) soft information bit stream. The decision module 845 may (e.g., then) process (e.g., hard-determined) the soft information bit stream to generate an information bit stream. The decision module 845 may (e.g., then) transmit (e.g., output) the information bit stream to an output destination 850 (e.g., part of a UE and/or part of a BS) .

In some examples, one or more modules of the system 800 may be part of a UE. Alternatively and/or additionally, one or more modules of the system 800 may be part of a BS.

Fig. 11 illustrates an example of a system 1100 for facilitating signaling interaction between a transmitter 1105 and a receiver 1110. The transmitter 1105 may be configured to transmit a (e.g., probability forming) modulated signal 1115, comprising a symbol stream, to the receiver 1110. The transmitter may generate instructions 1120 in order to help the receiver 1110 process (e.g., understand, decode, adjust, etc. ) various properties of the modulated signal 1115. The transmitter 1105 may transmit the instructions 1120 to the receiver 1110. The receiver may receive the instructions 1120 and may demodulate the modulated signal 1115 to generate a modulation symbol stream comprising a plurality of modulation symbols. In some examples, the receiver 1110 may adjust the plurality of modulation symbols based upon the instructions 1120. For example, the receiver 1110 may adjust a property (e.g., angle, amplitude, polarity, latitude, etc. ) of at least one of the plurality of modulation symbols based upon a value comprised within the instructions. Alternatively and/or additionally, the instructions 1120 may comprise a recommended conversion rate (e.g., or an amount by which to adjust a conversion rate) . The receiver 1110 may adjust a conversion rate based on the recommended conversion rate (e.g., or an amount by which to adjust a conversion rate) . Alternatively and/or additionally, the instructions 1120 may comprise a recommended coding rate (e.g., or an amount by which to adjust a coding rate) . The receiver 1110 may adjust a coding rate based on the recommended coding rate (e.g., or an amount by which to adjust a coding rate) . Alternatively and/or additionally, the instructions 1120 may comprise a recommended modulation constellation indication (e.g., or an amount by which to adjust a modulation constellation indication) . The receiver 1110 may adjust a modulation constellation indication based on the recommended modulation constellation indication (e.g., or an amount by which to adjust a modulation constellation indication) .

Fig. 12 illustrates an example of a system 1200 for facilitating signaling interaction between a transmitter 1205 and a receiver 1210. A probabilistic shaped symbol mapping module (e.g., of the transmitter 1205) may receive an information bit stream comprising information. The probabilistic shaped symbol mapping module may (e.g., then) map the information into a plurality of probability symbols. The transmitter 1205 may generate instructions 1215 based upon the plurality of probability symbols. The transmitter 1215 may (e.g., then) transmit the instructions 1215 to the receiver 1210. The instructions 1215 may comprise a recommended conversion rate (e.g., or an amount by which to adjust a conversion rate) . Alternatively and/or additionally, the instructions 1215 may comprise a recommended coding rate (e.g., or an amount by which to adjust a coding rate) . Alternatively and/or additionally, the instructions 1215 may comprise a recommended modulation constellation indication (e.g.。 or an amount by which to adjust a modulation constellation indication) . Alternatively and/or additionally, the instructions 1215 may comprise instructions for modifying a process of adjusting a symbol stream.

Fig. 13 illustrates an example of a system 1300 for facilitating signaling interaction between a transmitter 1305 and a receiver 1310. The transmitter 1305 may be configured to transmit a (e.g., probability forming) modulated signal, comprising an adjusted symbol stream, to the receiver 1310. The receiver 1310 may receive the modulation signal and generate (e.g., feedback) instructions 1315 based upon the adjusted symbol stream of the modulated signal. The receiver 1310 may generate the (e.g.， feedback) instructions 1315 in order to help the transmitter 1305 process (e.g., modulate, encode, adjust, etc. ) an information bit stream. The receiver 1310 may transmit the (e.g., feedback) instructions 1315 to the transmitter 1305. The (e.g., feedback) instructions 1315 may comprise instructions for adjusting a symbol stream based upon the information bit stream. Alternatively and/or additionally, the (e.g., feedback) instructions 1315 may comprise instructions for adjusting a property (e.g., angle, amplitude, latitude, polarity, etc. ) of at least one of a plurality of probability symbols of the symbol stream.

Fig. 14 presents a schematic architecture diagram 1400 of a base station 1450 (e.g., a node) that may utilize at least a portion of the techniques provided herein. Such a base station 1450 may vary widely in configuration and/or capabilities, alone or in conjunction with other base stations, nodes, end units and/or servers, etc. in order to provide a service, such as at least some of one or more of the other disclosed techniques, scenarios, etc. For example, the base station 1450 may connect one or more user equipment (UE) to a (e.g., wireless and/or wired) network (e.g., which may be connected and/or include one or more other base stations) , such as Code Division Multiple Access (CDMA) networks, Time Division Multiple Access (TDMA) networks, Frequency Division Multiple Access (FDMA) networks, Orthogonal FDMA (OFDMA) networks, Single-Carrier FDMA (SC-FDMA) networks, etc. The network may implement a radio technology, such as Universal Terrestrial Radio Access (UTRA) , CDMA2000, Global System for Mobile Communications (GSM) , Evolved UTRA (E-UTRA) , IEEE 802.11, IEEE 802.16, IEEE 802.20, Flash-OFDM, etc. The base station 1450 and/or the network may communicate using a standard, such as Long-Term Evolution (LTE) .

The base station 1450 may comprise one or more (e.g., hardware) processors 1410 that process instructions. The one or more processors 1410 may optionally include a plurality of cores； one or more coprocessors, such as a mathematics coprocessor or an integrated graphical processing unit (GPU) ； and/or one or more layers of local cache memory. The base station 1450 may comprise memory 1402 storing various forms of applications, such as an operating system 1404； one or more base station applications 1406； and/or various forms of data, such as a database 1408 and/or a file system, etc. The base station 1450 may comprise a variety of peripheral components, such as a wired and/or wireless network adapter 1414 connectible to a local area network and/or wide area network； one or more storage components 1416, such as a hard disk drive, a solid-state storage device (SSD) , a flash memory device, and/or a magnetic and/or optical disk reader； and/or other peripheral components.

The base station 1450 may comprise a mainboard featuring one or more communication buses 1412 that interconnect the processor 1410, the memory 1402, and/or various peripherals, using a variety of bus technologies, such as a variant of a serial or parallel AT Attachment (ATA) bus protocol； a Uniform Serial Bus (USB) protocol； and/or Small Computer System Interface (SCI) bus protocol. In a multibus scenario, a communication bus 1412 may interconnect the base station 1450 with at least one other server. Other components that may optionally be included with the base station 1450 (though not shown in the schematic diagram 1400 of Fig. 14) include a display； a display adapter, such as a graphical processing unit (GPU) ； input peripherals, such as a keyboard and/or mouse； and/or a flash memory device that may store a basic input/output system (BIOS) routine that facilitates booting the base station 1450 to a state of readiness, etc.

The base station 1450 may operate in various physical enclosures, such as a desktop or tower, and/or may be integrated with a display as an “all-in-one” device. The base station 1450 may be mounted horizontally and/or in a cabinet or rack, and/or may simply comprise an interconnected set of components. The base station 1450 may comprise a dedicated and/or shared power supply 1418 that supplies and/or regulates power for the other components. The base station 1450 may provide power to and/or receive power from another base station and/or server and/or other devices. The base station 1450 may comprise a shared and/or dedicated climate control unit 1420 that regulates climate properties, such as temperature, humidity, and/or airflow. Many such base stations 1450 may be configured and/or adapted to utilize at least a portion of the techniques presented herein.

Fig. 15 presents a schematic architecture diagram 1500 of a user equipment (UE) 1550 (e.g., a node) whereupon at least a portion of the techniques presented herein may be implemented. Such a UE 1550 may vary widely in configuration and/or capabilities, in order to provide a variety of functionality to a user. The UE 1550 may be provided in a variety of form factors, such as a mobile phone (e.g., a smartphone) ； a desktop or tower workstation； an “all-in-one” device integrated with a display 1508； a laptop, tablet, convertible tablet, or palmtop device； a wearable device, such as mountable in a headset, eyeglass, earpiece, and/or wristwatch, and/or integrated with an article of clothing； and/or a component of a piece of furniture, such as a tabletop, and/or of another device, such as a vehicle or residence. The UE 1550 may serve the user in a variety of roles, such as a telephone, a workstation, kiosk, media player, gaming device, and/or appliance.

The UE 1550 may comprise one or more (e.g., hardware) processors 1510 that process instructions. The one or more processors 1510 may optionally include a plurality of cores； one or more coprocessors, such as a mathematics coprocessor or an integrated graphical processing unit (GPU) ； and/or one or more layers of local cache memory. The UE 1550 may comprise memory 1501 storing various forms of applications, such as an operating system 1503； one or more user applications 1502, such as document applications, media applications, file and/or data access applications, communication applications, such as web browsers and/or email clients, utilities, and/or games； and/or drivers for various peripherals. The UE 1550 may comprise a variety of peripheral components, such as a wired and/or wireless network adapter 1506 connectible to a local area network and/or wide area network； one or more output components, such as a display 1508 coupled with a display adapter (optionally including a graphical processing unit (GPU) ) , a sound adapter coupled with a speaker, and/or a printer； input devices for receiving input from the user, such as a keyboard 1511, a mouse, a microphone, a camera, and/or a touch-sensitive component of the display 1508； and/or environmental sensors, such as a GPS receiver 1519 that detects the location, velocity, and/or acceleration of the UE 1550, a compass, accelerometer, and/or gyroscope that detects a physical orientation of the UE 1550. Other components that may optionally be included with the UE 1550 (though not shown in the schematic architecture diagram 1500 of Fig. 15) include one or more storage components, such as a hard disk drive, a solid-state storage device (SSD) , a flash memory device, and/or a magnetic and/or optical disk reader； a flash memory device that may store a basic input/output system (BIOS) routine that facilitates booting the UE 1550 to a state of readiness； and/or a climate control unit that regulates climate properties, such as temperature, humidity, and airflow, etc.

The UE 1550 may comprise a mainboard featuring one or more communication buses 1512 that interconnect the processor 1510, the memory 1501, and/or various peripherals, using a variety of bus technologies, such as a variant of a serial or parallel AT Attachment (ATA) bus protocol； the Uniform Serial Bus (USB) protocol； and/or the Small Computer System Interface (SCI) bus protocol. The UE 1550 may comprise a dedicated and/or shared power supply 1518 that supplies and/or regulates power for other components, and/or a battery 1504 that stores power for use while the UE 1550 is not connected to a power source via the power supply 1518. The UE 1550 may provide power to and/or receive power from other client devices.

Fig. 16 is an illustration of a scenario 1600 involving an example non-transitory computer readable medium 1602. The non-transitory computer readable medium 1602 may comprise processor-executable instructions 1612 that when executed by a processor 1616 cause performance (e.g., by the processor 1616) of at least some of the provisions herein. The non-transitory computer readable medium 1602 may comprise a memory semiconductor (e.g., a semiconductor utilizing static random access memory (SRAM) , dynamic random access memory (DRAM) , and/or synchronous dynamic random access memory (SDRAM) technologies) , a platter of a hard disk drives, a flash memory device, or a magnetic or optical disc (such as a compact disc (CD) , digital versatile disc (DVD) , and/or floppy disk) . The example non-transitory computer readable medium 1602 stores computer-readable data 1604 that, when subjected to reading 1606 by a reader 1610 of a device 1608 (e.g., a read head of a hard disk drive, or a read operation invoked on a solid-state storage device) , express the processor-executable instructions 1612. In some embodiments, the processor-executable instructions 1612, when executed, cause performance of operations, such as at least some of the example method 100 of Fig. 1A, the example method 101 of Fig. 1B, the example method 102 of Fig. 1C, the example method 103 of Fig. 1D, the example method 104 of Fig. 1E, the example method 106 of Fig. 1F, the example method 107 of Fig. 1G, the example method 108 of Fig. 1H, and/or the example method 109 of Fig. 1I, for example. In some embodiments, the processor-executable instructions 1612 are configured to cause implementation of a system and/or scenario, such as at least some of the example system 200 of Fig. 2, the example system corresponding to the diagram 300 of Fig. 3A, the example system corresponding to the diagram 350 of Fig. 3B, the example system corresponding to the diagram 400 of Fig. 4A, the example system corresponding to the diagram 450 of Fig. 4B, the example system 500 of Fig. 5, the example system 600 of Fig. 6, the example system 700 of Fig. 7, system 800 of Fig. 8, the example system corresponding to the representation 900 of Fig. 9, the example system corresponding to the representation 1000 of Fig. 10, the example system 1100 of Fig. 11, the example system 1200 of Fig. 12 and/or the example system 1300 of Fig. 13, for example.

As used in this application, "component, " "module, " "system" , "interface" , and/or the like are generally intended to refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a controller and the controller can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers (e.g., nodes (s)) .

Unless specified otherwise, “first, ” “second, ” and/or the like are not intended to imply a temporal aspect, a spatial aspect, an ordering, etc. Rather, such terms are merely used as identifiers, names, etc. for features, elements, items, etc. For example, a first object and a second object generally correspond to object A and object B or two different or two identical objects or the same object.

Moreover, "example" is used herein to mean serving as an instance, illustration, etc., and not necessarily as advantageous. As used herein, "or" is intended to mean an inclusive "or" rather than an exclusive "or" . In addition, "a" and "an" as used in this application are generally be construed to mean "one or more" unless specified otherwise or clear from context to be directed to a singular form. Also, at least one of A and B and/or the like generally means A or B or both A and B. Furthermore, to the extent that "includes" , "having" , "has" , "with" , and/or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term "comprising” .

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing at least some of the claims.

Furthermore, the claimed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer (e.g., node) to implement the disclosed subject matter. The term "article of manufacture" as used herein is intended to encompass a computer program accessible from any computer-readable device, carrier, or media. Of course, many modifications may be made to this configuration without departing from the scope or spirit of the claimed subject matter.

Various operations of embodiments and/or examples are provided herein. The order in which some or all of the operations are described herein should not be construed as to imply that these operations are necessarily order dependent. Alternative ordering will be appreciated by one skilled in the art having the benefit of this description. Further, it will be understood that not all operations are necessarily present in each embodiment and/or example provided herein. Also, it will be understood that not all operations are necessary in some embodiments and/or examples.

Also, although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The disclosure includes all such modifications and alterations and is limited only by the scope of the following claims. In particular regard to the various functions performed by the above described components (e.g., elements, resources, etc. ) , the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent) , even though not structurally equivalent to the disclosed structure. In addition, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application.

Claims

A method comprising：

receiving a symbol stream comprising a plurality of probability symbols；

receiving a parity bit stream；

adjusting a property of at least one of the plurality of probability symbols of the symbol stream， based upon the parity bit stream， to generate an adjusted symbol stream； and

transmitting a signal， based upon the adjusted symbol stream， to a node.
The method of claim 1， comprising：

receiving an input bit stream comprising information； and

mapping the information into the plurality of probability symbols of the

symbol stream.
The method of claim 1， wherein the property comprises an amplitude.
The method of claim 1， wherein the property comprises a phase.
The method of claim 1， wherein the property comprises an absolute value of a real part or an imaginary part of a symbol.
The method of claim 1， wherein the property comprises a polarity.
The method of claim 1， wherein the symbol stream conforms to a non-uniform distribution.
The method of claim 1， wherein the symbol stream conforms to a Gaussian distribution.
A method comprising：

receiving a system bit stream；

receiving a parity bit stream；

interleaving the system bit stream with the parity bit stream， based upon a property， to generate a bit stream； and

modulating the bit stream to generate a modulated bit stream.
A method comprising：

adjusting a property of at least one of a plurality of modulation symbols to generate an adjusted bit stream.
The method of claim 10， comprising：

receiving a modulated symbol stream； and

demodulating the modulated symbol stream to generate a bit stream

comprising the plurality of modulation symbols.
The method of claim 10， comprising：

deinterleaving a bit stream； and

determining a parity bit of the bit stream based upon a polarity of a

constellation point of the bit stream.
The method of claim 10， comprising：

decoding the adjusted bit stream to generate a decoded bit stream； and

demapping the decoded bit stream.
The method of claim 11， wherein the modulated symbol stream conforms to a non-uniform distribution.
The method of claim 11， wherein the modulated symbol stream conforms to a Gaussian distribution.
A method comprising：

iteratively performing a process comprising：

decoding a first bit stream to generate a decoded bit stream；

demapping the decoded bit stream to generate an information bit stream；

mapping the information bit stream to generate a second bit stream； and

encoding the second bit stream to generate a third bit stream.
A method comprising：

receiving a bit stream comprising information；

mapping the information into a plurality of symbols with non-uniform probability distribution； and

generating a non-uniform constellation point distribution， comprising a plurality of constellation points， based upon the plurality of symbols.
The method of claim 17， comprising：

modifying the non-uniform constellation point distribution based upon a parity bit stream.
A method comprising：

receiving a bit stream comprising information；

mapping the information into a plurality of probability symbols；

generating instructions based upon the plurality of probability symbols； and

transmitting the instructions to a node.
The method of claim 19， wherein the instructions comprise a conversion rate or an amount by which to adjust a conversion rate.
The method of claim 19， wherein the instructions comprise a coding rate or an amount by which to adjust a coding rate.
The method of claim 19， wherein the instructions comprise a modulation constellation indication or an amount by which to adjust a modulation constellation indication.
The method of claim 19， wherein the instructions comprise instructions for modifying a process of adjusting a symbol stream.
A method comprising：

receiving a symbol stream from a node；

receiving instructions from the node；

determining a plurality of modulation symbols based upon the symbol stream； and

detecting the plurality of modulation symbols based upon the instructions.
The method of claim 24， the detecting comprising：

adjusting a property of at least one of the plurality of modulation symbols based upon a value comprised within the instructions.
The method of claim 24， the detecting comprising：

adjusting an angle of at least one of the plurality of modulation symbols based upon a value comprised within the instructions.
The method of claim 24， the detecting comprising：

adjusting an amplitude of at least one of the plurality of modulation symbols based upon a value comprised within the instructions.
The method of claim 24， the detecting comprising：

adjusting a latitude of at least one of the plurality of modulation symbols based upon a value comprised within the instructions.
The method of claim 24， wherein the instructions comprise a conversion rate or an amount by which to adjust a conversion rate.
The method of claim 24， wherein the instructions comprise a coding rate or an amount by which to adjust a coding rate.
The method of claim 24， wherein the instructions comprise a modulation constellation indication or an amount by which to adjust a modulation constellation indication.
A method comprising：

receiving a bit stream comprising information；

receiving instructions；

mapping the information into a plurality of probability symbols based upon the instructions； and

transmitting the plurality of probability symbols to a node.
The method of claim 32， wherein the instructions comprise a conversion rate or an amount by which to adjust a conversion rate.
The method of claim 32， wherein the instructions comprise a coding rate or an amount by which to adjust a coding rate.
The method of claim 32， wherein the instructions comprise a modulation constellation indication or an amount by which to adjust a modulation constellation indication.
The method of claim 32， wherein the instructions comprise instructions for modifying a process of adjusting a symbol stream.
A method comprising：

transmitting instructions to a node， wherein the instructions comprise at least one of：

a conversion rate or an amount by which to adjust a conversion rate；

a coding rate or an amount by which to adjust a coding rate；

a modulation constellation indication or an amount by which to adjust a modulation constellation indication； or

instructions for modifying a process of adjusting a symbol stream.
A method comprising：

receiving an adjusted symbol stream from a node；

generating feedback， corresponding to adjusting a symbol stream， based upon the adjusted symbol stream； and

transmitting the feedback to the node.
The method of claim 38， wherein the feedback comprises feedback for modifying a process of adjusting the symbol stream.
The method of claim 38， wherein the feedback comprises feedback for modifying a process of adjusting a property of at least one of a plurality of symbols of the symbol stream.
The method of claim 38， wherein the feedback comprise a conversion rate or an amount by which to adjust a conversion rate.
The method of claim 38， wherein the feedback comprise a coding rate or an amount by which to adjust a coding rate.
The method of claim 38， wherein the feedback comprise a modulation constellation indication or an amount by which to adjust a modulation constellation indication.
A communication device comprising：

a processor； and

memory comprising processor-executable instructions that when executed by the processor cause performance of a method recited in any of claims 1 to 43.
A non-transitory computer readable medium having stored thereon processor-executable instructions that when executed cause performance of a method recited in any of claims 1 to 43.