KR100448894B1 - Digital communication system using multi-dimensional orthogonal resource hopping multiplexing - Google Patents

Abstract

1. TECHNICAL FIELD OF THE INVENTION

The present invention relates to a digital communication system based on a multidimensional orthogonal resource hopping multiplexing scheme.

2. The technical problem to be solved by the invention

According to the present invention, the performance of channel coding is improved through a logarithmic likelihood ratio conversion scheme and an adaptive coding scheme in consideration of the characteristics of the leap multiplexing such as collision and puncturing, which have a possibility of performance degradation in a statistical multiplexing scheme called orthogonal resource hopping multiplexing. To provide a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme.

3. Summary of Solution to Invention

According to an aspect of the present invention, there is provided a logarithmic likelihood ratio converting means, which is located between a channel demodulator and a channel decoder at a receiving end, and performs a logarithmic likelihood ratio conversion of the channel demodulator output value according to a resource hopping environment to enter an input value of the channel decoder. Soft decision means for performing soft decision to limit the number of bits of a predetermined size to the input value of the channel decoder; And an optimum coding rate generating means for adjusting a channel coding rate periodically by finding a compromise between coding gain and puncturing according to traffic conditions at the transmitting end.

4. Important uses of the invention

The present invention is used for a communication system of a multi-dimensional orthogonal resource hopping multiplexing scheme.

Description

DIGITAL COMMUNICATION SYSTEM USING MULTI-DIMENSIONAL ORTHOGONAL RESOURCE HOPPING MULTIPLEXING}

The present invention relates to a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing scheme. In particular, a log-likelihood ratio (LLR) transform method and an adaptive coding rate technique for improving decoding performance under a multi-dimensional orthogonal resource hopping multiplexing scheme. It relates to an applied digital communication system.

First, the present invention relates to a collision of an orthogonal resource hopping pattern corresponding to a channel (hereinafter, referred to as a downlink channel) from a primary communication station to a secondary communication station, and thus of transmission data symbols. In order to overcome the performance deterioration due to perforation, a logarithmic likelihood ratio converter (LLR converter) is placed in the pre-decoding process of the second communication station to improve the decoding performance.

If the logarithmic likelihood ratio converter knows the puncturing probability at the transmitter of the first communication station at the receiver of the second communication station, it performs the conversion operation using this, and if it does not know, performs the specific conversion operation at the receiver of the second communication station. The puncturing probability is transmitted from a first communication station to a second communication station through a downlink channel or obtained through a perforation estimator located in the second communication station.

In addition, the present invention proposes an adaptive code rate scheme using an optimum code rate according to traffic load in order to reduce the decoding performance degradation at the receiver of the second communication station due to the puncturing in the transmitter of the first communication station, The optimum communication rate generator is placed in the first communication station.

The present invention relates to the inventor's previous patent "orthogonal code hopping multiplexing communication method and apparatus (Application No. 10-1999-0032187, Aug. 5, 1999)" and generalized "multi-dimensional orthogonal resource hopping multiplexing communication method and apparatus ( 10-2000-0029400, May 30, 2000) and "Method and Apparatus for Mitigating Jump Pattern Collision Impact in Multi-Dimensional Orthogonal Resource Hopping Multiplexed Communication System (Application No. 10-2001-0057421, Sep 25, 2001) "Is based on. This is described below.

Orthogonal Code Hopping Multiplexing (OCHM) used in the present invention, orthogonal code symbol (Orthogonal Code Symbol) or orthogonal codeword according to the one-dimensional hop pattern promised between the first communication station and the second communication station (Orthogonal Codeword) is selected to communicate, and the first communication station determines the total number of allocated channels in consideration of the channel activity, and if a one-dimensional jump pattern of only the orthogonal code axis promised between the first communication station and each second communication station is In case of independence, the data symbols of all the downlink channels involved in the collision are compared and transmitted if they are all the same data symbol. If not, the symbol is transmitted by perforation. To recover the data symbols of the perforated part using the decoder (application number 10-1999-0032187 "orthogonal code hopping) Multiplexed communication methods and devices ").

Orthogonal Resource Hopping Multiplexing (ORHM) is a statistical multiplexing scheme in which the orthogonal code hopping multiplexing communication method is generalized to all orthogonal resources (Application No. 10-2000-0029400 "Multidimensional Orthogonal Resource Hopping Multiplexing Communication"). Methods and devices ").

This is a method of statistical multiplexing the above channels when the transmission data rate of each channel is transmitted at a variable transmission rate lower than the basic transmission rate (R) in a wired / wireless communication system in which a plurality of low-activity communication channels coexist through a single medium. And an apparatus, in particular in a system consisting of a plurality of second communication stations synchronized with the first communication station, the first communication station identifies a channel to each second communication station in a multidimensional orthogonal resource hopping pattern and The corresponding multi-dimensional orthogonal resource hopping pattern consists of a random hopping pattern assigned by the first communication station upon call setup or a random-random hopping pattern specific to the second communication station, and at any moment within the hopping pattern of different channels. Multidimensional orthogonal resource coordinates can match (this is referred to as 'multidimensional jump pattern collision' in the future) In this case, the first communication station involved in the collision checks the transmission data symbols for all transmission channels, and if one channel transmits a data symbol that does not match the other channels, the corresponding data symbol interval is turned off. The present invention relates to a multiplexing method and apparatus for increasing transmission power of all channels for which data symbol transmission is turned off by an amount specified during a period defined by a communication protocol in order to compensate an average bit energy of lost data of a channel.

The first communication station and the second communication station described herein correspond to base stations and mobile stations, respectively, in existing commercialized systems. One first communication station communicates with a plurality of second communication stations, and the present invention relates to all systems in which transmission symbol collisions and perforations occur within a synchronized channel group having orthogonality from the first communication station to the second communication station. Can be applied to

1 is an exemplary configuration diagram of a general wireless communication system.

1 shows a system to which the prior art and the embodiment of the present invention are applied, each communication channel 121, 122, 123 from the first communication station 101 to the second communication station 111, 112, 113 being synchronized and Orthogonal to each other.

2A to 2F are conceptual diagrams of transmission signals in a first communication station by general resource hopping multiplexing.

2A shows a transmission signal diagram of a first communication station in which transmission time hopping multiplexing and orthogonal code hopping multiplexing in time slot units are mixed. In more detail, FIG. 2A illustrates a transmission signal diagram of a first communication station using transmission time hopping multiplexing and orthogonal code hopping multiplexing for sparse frames according to orthogonal resource hopping multiplexing.

In order to obtain statistical multiplexing, randomly select a transmission time slot of a channel to the second communication station and an orthogonal codeword for spreading each transmission data symbol. The two-dimensional hopping patterns of (transmission time, orthogonal code) of each second communication station are independent of each other.

FIG. 2B is a diagram illustrating a case where a collision occurs in which a jump pattern represented by two-dimensional coordinates of (transmission time, orthogonal code) in FIG. 2A is simultaneously selected by a plurality of channels, and a circumference is indicated by a double solid line in the drawing. The rectangle represents the data symbol position where the multi-dimensional leap pattern collided, and the rectangle represented by a single solid line represents the data symbol position where no collision occurred.

FIG. 2C illustrates the comparison of data symbols of coordinates at which collision occurs in FIG. 2B to finally determine whether to transmit the data symbols. An internal black index rectangle indicates that the multidimensional hopping pattern has collided but is transmitted because the data symbols of all channels involved in the collision are the same, and the dotted rectangle does not transmit because the data symbols of all channels involved in the collision are not the same. Display.

2D illustrates a statistical multiplexing scheme with a three-dimensional hop pattern of (frequency, transmission time, orthogonal code).

That is, FIG. 2D is a transmission signal diagram of a first communication station using a random carrier frequency hopping multiplexing, transmission time hopping multiplexing, and orthogonal code hopping multiplexing method for each sparse frame caused by orthogonal resource hopping multiplexing.

FIG. 2E is a diagram illustrating a case in which a collision occurs in which a jump pattern represented by three-dimensional coordinates (carrier frequency, transmission time, orthogonal code) in FIG. 2D is simultaneously selected by a plurality of channels. It is indicated by a thick solid cube. The white cuboid is a case where the data symbols to be sent match. The black cuboid is a case where the data symbols to be sent do not match.

FIG. 2F is a diagram exemplifying determining whether to transmit data by comparing data symbols of coordinates in which collision occurs in FIG. 2E. White cubes are transmitted, and dotted cubes are not transmitted.

In order to conceptually describe what parts of the related art can be changed and modified, the performance improvement scheme proposed by the present invention will be described based on IS-95, which is a mobile communication system in commercial service, from FIG. 3A.

3A is an exemplary configuration of a transmitter of a first communication station for a general pilot, synchronization, and calling channel, and FIG. 3B is an exemplary configuration of a transmitter at a first communication station for a general traffic channel.

Since the pilot channel 200 is used as a channel estimation signal for initial synchronization acquisition and tracking and synchronization demodulation in the second communication station of FIG. 1, the pilot channel 200 must exist for each sub-carrier (SC). This channel is shared by all second communication stations in the area controlled by the first communication station, and provides a phase reference for synchronous demodulation by transmitting symbols of known patterns without channel coding and channel interleaving as shown in FIG. 3A.

The sync channel 210 is a broadcast channel unidirectionally transmitted to all second communication stations in the area controlled by the first communication station, such as the pilot channel 200, and is common to all second communication stations in the first communication station. Deliver necessary information (e.g., time information and identifier of the first communication station). The data transmitted through the synchronization channel includes a channel encoder (Convolutional Encoder, 214), a symbol repeater (Repeater, 216) for adjusting the symbol rate, a channel interleaver (Block Interleaver, 218) to overcome the concatenation error, the transmission data symbol rate It is transmitted to the spreading and modulator to be described in FIG. 4 through a repeater 219 for fitting.

The paging channel 220 is a shared channel used for the purpose of receiving an incoming message to the second communication station or responding to a request of the second communication station, and a plurality of paging channels 220 may exist. Data transmitted to the call channel is passed through a channel encoder (Convolutional Encoder, 224), symbol repeater (Repeater, 226), channel interleaver (Block Interleaver, 228), and then a long code mask (230) for the call channel. The output of the long code generator 232 generated by the decimator 234 is transferred to the spreading and modulation unit of FIG.

The traffic channel 240 of FIG. 3B is a channel allocated to each second communication station and used exclusively until the call ends. When there is data to be sent from the first communication station to each second communication station, Transmit using a traffic channel. The traffic channel performs a cyclic redundancy check (CRC) encoding 241 to check an error in a specific time unit called a frame (20 ms in IS-95), and to perform channel encoding independently for each frame unit. Tail bits 242, which are all composed of " 0 ", are inserted, and channel encoding 244 is performed.

Then, symbol repetition 246 is performed to match the transmitted data symbol rate according to the transmitted data rate. After symbol repetition, channel interleaving 248 is performed to convert the congestion error into a uniform distribution error. Data finished up to the channel interleaving 248 is 234 decimated the output of the long code generator 232 using a long code mask 250 generated from an identifier (ESN: Electronic Serial Number) assigned to each second communication station (234). Scrambling (256) by a pseudo-noise (PN) sequence.

In operation 258, a position to insert a command (PCB: Power Control Bit) for controlling the transmission power from the second communication station is extracted from the decimated PN sequence. The data symbols corresponding to the extracted power control command insertion positions are punctured from the scrambling processed data symbols 256 to insert the power control commands 260 and transfer them to the spreading and modulation unit shown in FIG. 4.

In the orthogonal resource hopping multiplexing, the position of a transmission data symbol for time hopping multiplexing may also be determined using the decimated value in the PN sequence.

4A is an exemplary configuration diagram of a transmitter of a first communication station using a general code division multiplexing scheme (when quadrature phase shift keying (QPSK) is used for data modulation and the same orthogonal code symbol is used for an I / Q channel). ).

4A illustrates an example of a spreading and modulation unit using a general code division multiplexing technique. It shows the spreading and modulating section when the data modulation method is used as QPSK to transmit twice as much data as the IS-95 method of binary phase shift keying (BPSK) with the same bandwidth. It is a method adopted in the cdma2000® method, which is a candidate technology of IMT-2000.

In order to transmit the signal generated as shown in FIGS. 3A and 3B to the QPSK, different information data is carried on the in-phase channel and the quadrature channel via the demultiplexer 390 of FIG. 4A. The signal converters 310, 330, 326, 346, and 364 are devices for converting logical signals "0" and "1" into physical signals "+1" and "-1" which are actually transmitted, respectively. FIGS. 3A and 3B. Each channel of is spread (312, 332) by the output of the corresponding Walsh code generator 362 through the signal converter, and the relative transmit power of each channel is adjusted by the amplifiers (314, 334).

All channels of the first communication station are spread (312, 332) and amplified (314, 334) by an orthogonal Walsh function (362) fixedly assigned to each channel, followed by orthogonal code division multiplexing (316, 336). This multiplexed signal is subjected to QPSK spread modulation 318 and 338 by short PN sequences 324 and 344 for first communication station identification. The spread modulated signal is modulated (322, 342) by the carrier to transition to the transmission band via low pass filters (320, 340).

The signal modulated by the carrier wave is transmitted through the antenna via a radio unit that performs a role of high power amplification, which is omitted in the drawing. By setting the demultiplexer 390 and the signal converters 310 and 330, quadrature amplitude modulation (QAM) may be used instead of QPSK.

4B is an exemplary configuration of a transmitter in a first communication station using a general orthogonal resource hopping multiplexing scheme.

FIG. 4B illustrates an example of a spreading and modulation unit using a resource hopping multiplexing technique, and is an implementation form when orthogonal resource hopping multiplexing is applied to the technique illustrated in FIG. 4A.

The collision detection and controller 384 for detecting the collision of the multi-dimensional hop pattern generator 380 and the multi-dimensional hop pattern generated due to the independent hop pattern generation between channels for statistical multiplexing by the orthogonal resource hopping multiplexing method and performing appropriate control. 386).

Multi-dimensional jump patterns include one-dimensional jump patterns such as (frequency), (transmission time), (orthogonal code), and two-dimensional jumps such as (frequency, transmission time), (frequency, orthogonal code), (transmission time, orthogonal code), etc. Pattern, (frequency, transmission time, orthogonal code), and the like, or a three-dimensional jump pattern. During system development, only some orthogonal resources can be involved in the leap, and other orthogonal resources can be fixedly allocated in a split manner. In addition, all orthogonal resources may be implemented to participate in the hop multiplexing, and then a control command may control only some orthogonal resources to participate in the hop multiplexing. An orthogonal code generator 382 generating a frequency synthesizer 388 for frequency hopping, buffers 392 and 393 for time hopping, and a spreading orthogonal codeword for orthogonal code hopping according to the multidimensional hopping pattern generator 380 described above. ) Is required.

5A is an exemplary configuration diagram of a receiver in a second communication station using a general code division multiplexing scheme.

5A schematically illustrates a receiver structure corresponding to the transmitter structure of FIG. 4A. The signal received through the antenna is demodulated (510, 530) into a carrier wave and low pass (512, 532) to generate a baseband signal, and the same sequence (520, 540) as the PN sequence used by the transmitting side is received Despreading 516 and 536 is performed by multiplying the baseband signal by 514 and 534 and accumulating for the transmission data symbol period.

In the baseband signals generated by the low-pass filters 512 and 532, an orthogonal codeword assigned to a pilot channel extracts only a pilot channel component to estimate a transmission channel (550), and uses the estimated phase distortion value. Phase distortion of the baseband signal is corrected (560).

If the pilot channel is not code division multiplexed as described above and is time division multiplexed, only a portion of the pilot signal is extracted using a demultiplexer, and the phase change between the extracted intermittent pilot signals is estimated by interpolation.

5B is an exemplary configuration diagram of a receiver in a second communication station using a general orthogonal resource hopping multiplexing scheme.

FIG. 5B illustrates a receiver configuration in a second communication station according to the orthogonal resource hopping multiplexing scheme of FIG. 4B. The signal from the first communication station received via the antenna is demodulated (510, 530) in the frequency synthesizer (588) controlled by the multidimensional hopping pattern generator (580), and then passed through the low pass filters (512, 532). The low-pass filtered signal is descrambled 522 and 542 using the same scrambling codes 520 and 540 as the transmitting side. Next, an orthogonal codeword is generated 582 according to an orthogonal code axis coordinate value output from the multi-dimensional hop pattern generator 580 synchronized with the first communication station transmitter to multiply (514, 534), and integrate during the symbol period. (516, 536) to perform despreading.

Synchronous demodulation is performed by compensating for the phase difference 560 using the channel estimator 550 on the despread signal. The phase difference compensated data symbols are input to the buffers 592 and 593 according to the transmission time axis coordinate values of the multi-dimensional jump pattern generator 580. Since the first communication station transmitter of FIG. 4B performs QPSK data modulation, the I-channel and Q-channel received data received by the second communication station receiver of FIG. 5B have different information.

6 is an exemplary configuration diagram of a receiver for a channel in which a transmission power control command is not inserted in a transmitting station in general.

That is, FIG. 6 is a structure of a receiver for a channel in which a command for controlling the transmission power from the second communication station to the first communication station, such as a call channel, is not inserted in the first communication station.

In the case of QPSK data modulation on the transmitting side as shown in FIG. 4A by combining the signals completed until the phase correction in FIG. 5A and FIG. 5B with the maximum ratio combining (610, 612), the multiplexing (614) and the soft decision (616) are performed. Inverse scrambling is performed by multiplying the output of the long code generator generated by the long code mask 620 corresponding to the call channel with the result of the decimation 624 (618).

For the channel into which the transmission power control command is inserted in the first communication station, such as a traffic channel, the signal component corresponding to the power control command is extracted from the received signal and hardly determined and transmitted to the transmission power control unit of the second communication station.

7 is an exemplary receiver configuration of a second communication station for a general pilot, synchronization, and call channel.

In FIG. 7, a configuration of a receiver common part in a second communication station according to the prior art and orthogonal resource hopping multiplexing is shown.

Specifically, FIG. 7 illustrates a first communication station via channel deinterleaving (818, 828, 838) and channel decoding (814, 824, 834) for a received signal that has undergone signal processing as shown in the description of FIG. It shows the function of restoring the data transmitted from.

In the case of the synchronization channel 810, a symbol compression 819, which is a reverse process of the symbol repeater 219, is performed by accumulating a received signal with respect to the soft decision signal to lower the symbol rate. The symbol decompressed signal is channel deinterleaved 818, and the channel deinterleaved signal is again decoded before the channel decoding 814, and symbol compression 816, which is a reverse process of the symbol repeater 216, is performed. The symbol-compressed signal is decoded by channel decoding 814 to restore the synchronization channel transmitted from the first communication station. In the case of the call channel 820, the soft decision signal is deinterleaved 828.

The channel deinterleaved signal may perform symbol compression 826 which is an inverse process of the symbol repeater 226 according to the transmission data rate. Channel decoding 824 of the symbol compressed signal restores the call channel transmitted from the first communication station.

In the traffic channel 830, the soft decision signal is deinterleaved 838 regardless of the transmission data rate. The channel deinterleaved signal may perform symbol compression 836 which is an inverse process of the symbol repeater 246 according to the transmission data rate. After channel decoding of the symbol-compressed signal (834), removing the tail bit for frame-independent transmission signal generation (832), and generating a CRC bit for the transmission data portion as in the transmitting side, after channel decoding Check for errors by comparing the recovered CRC bits. Traffic channel data is recovered by determining that there are no errors when the two CRC bits match.

If the transmitting side does not include the information on the transmission data rate in the frame unit of 20ms, the data transmitted from the first communication station by channel decoding the channel deinterleaved signal independently for all possible transmission data rates and comparing the CRC bits. The rate can be determined. For a system in which the transmission data rate is transmitted separately, only a channel decoding process corresponding to the data rate is required.

8 is an exemplary diagram of an orthogonal resource division multiplexing or an orthogonal resource hopping multiplexing according to a given bit in a classification channel encoder of a general orthogonal resource hopping multiplexing scheme.

8 is an orthogonal resource division multiplex (2751) equal to an input bit in an output bit of a systematic channel encoder according to orthogonal resource hopping multiplexing, and an additional bit generated by the classification channel encoder. Bit) is a diagram showing orthogonal resource hopping multiplexing 2752 (dividing division orthogonal radio resource regions of leap multiplexing).

In general, among the output bits of a classification channel encoder (Turbo Encoder) such as the information bit (Systematic Bit) is relatively more sensitive to error than the parity bit (Parity Bit), there is a possibility of puncturing If the pure orthogonal resource hopping multiplexing scheme is used for both the information bit and the additional bits, there is a possibility that the quality of the decoded signal in the classification channel decoder at the receiving side is degraded. Thus, information bits that are more susceptible to errors are sent with orthogonal resource division multiplexing with less perforation.

Conventionally, in the case of BPSK and QPSK, it is ideal to insert the channel demodulator output value into the channel decoder of the soft input format as it is. In addition, since the channel demodulator output value has an analog value, the channel demodulator output value is input to the channel decoder input through soft decision.

This method is the result of mathematically examining the tendency of transmitted symbols to be moved by noise at their original intended position.In an orthogonal resource hopping multiplexing environment, the original position of a transmitted symbol is located at the origin or midpoint of symbols unlike conventional BPSK and QPSK. Therefore, considering the influence of noise, the conventional method has a problem that does not show ideal performance.

Also, conventionally, the channel coding rate in the first communication station has been determined by channel conditions, available bandwidth, power, information rate, and the like. In general encoding, the lower the coding rate, the stronger, the larger the coding gain, but the larger the required bandwidth. Therefore, in the conventional method, it is common to adjust the coding rate according to the available bandwidth. In this case, the reduction of the coding rate is achieved by reducing the spreading coefficient of one user or occupying multiple codes.

However, in an orthogonal resource hopping multiplexing environment, a decrease in the coding rate does not mean an increase in the required bandwidth. Since multiple users are statistically multiplexed on a fixed bandwidth, a reduction in the coding rate brings about an increase in the occupied band of each user, thereby increasing collisions and perforations. In addition, since the above-mentioned puncture causes performance deterioration, there is a compromise between reducing the code rate to increase the coding gain and increasing the code rate to reduce the puncturing, which is dependent on the traffic conditions of the bandwidth. There is a problem that it is difficult to operate the system at an optimal coding rate.

SUMMARY OF THE INVENTION The present invention has been made to solve the problems described above, and a logarithmic likelihood ratio conversion technique that takes into account the characteristics of the leap multiplexing such as collision and puncturing, which has a possibility of performance degradation in a statistical multiplexing method called orthogonal resource hopping multiplexing It is an object of the present invention to provide a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method that performs an enhancement of channel coding through an adaptive coding scheme.

1 is an exemplary configuration diagram of a general wireless communication system.

2A to 2F are conceptual diagrams of transmission signals at a first communication station by general resource hopping multiplexing.

3A illustrates an example transmitter configuration of a first communication station for a general pilot, synchronization, and call channel.

3B illustrates an example transmitter configuration at a first communication station for a general traffic channel.

4A is an exemplary configuration diagram of a transmitter of a first communication station using a general code division multiplexing scheme;

4B is an exemplary configuration of a transmitter in a first communication station using a general orthogonal resource hopping multiplexing scheme.

5A is an exemplary configuration diagram of a receiver in a second communication station using a general code division multiplexing scheme.

5B is an exemplary configuration diagram of a receiver in a second communication station using a general orthogonal resource hopping multiplexing scheme.

6 is an exemplary configuration diagram of a receiver for a channel in which no transmission power control command is inserted at a transmitting station in general.

7 is an exemplary receiver configuration of a second communication station for a general pilot, synchronization, and call channel.

8 is an exemplary diagram of an orthogonal resource division multiplexing or an orthogonal resource hopping multiplexing according to a given bit in a classification channel coder of a general orthogonal resource hopping multiplexing scheme.

9 is a conceptual diagram of an embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

10A and 10B are diagrams illustrating an example of correlation between a channel output value and a log likelihood ratio according to each log likelihood ratio conversion scheme;

11 is an exemplary view illustrating a concept of area detection in the puncturing estimator according to the present invention.

12A to 12D are detailed diagrams of one embodiment of a log likelihood ratio converter in a digital communication system according to the present invention.

13A and 13B illustrate an embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

14A and 14B are diagrams illustrating an embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

15A and 15B illustrate a third embodiment configuration of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

FIG. 16 is an exemplary view illustrating that the number of symbols for which symbol information is maintained varies according to a change in puncturing probability according to a coding rate. FIG.

FIG. 17 is a diagram illustrating an embodiment of an adaptive code rate scheme for applying an optimal code rate according to traffic in a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexed communication scheme according to the present invention. FIG.

18A and 18B are schematic views of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

* Explanation of symbols for the main parts of the drawings

628: Algebra Likelihood Converter 630: Perforation Estimator

270: optimal code rate generator

In order to achieve the above object, the present invention provides a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which is located between a channel demodulator and a channel decoder of a receiving end, and outputs the channel demodulator output value according to a resource hopping environment. Logarithmic likelihood ratio conversion means for performing conversion to enter an input value of the channel decoder; And soft decision means for performing soft decision to limit the number of bits of a predetermined size to the input value of the channel decoder.

In addition, the present invention provides a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method including a first communication station and a plurality of second communication stations, wherein a part of data symbols of the multi-dimensional orthogonal resource hopping patterns corresponding to a communication channel is used. It is characterized by generating and using a soft decision value based on the logarithmic likelihood ratio in consideration of the puncturing or synergy of transmission data symbols that may occur due to a collision.

In addition, the present invention provides a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method including a first communication station and a plurality of second communication stations, the adaptive code rate method of periodically adjusting the channel code rate according to traffic conditions. It is characterized by using.

In addition, the present invention, in the digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication method, the transmission end finds a compromise between the coding gain and the perforation according to the traffic conditions, the optimum code rate generation means for periodically adjusting the channel code rate It is characterized by including.

As described above, in the past, it was ideal to put the channel demodulator output value in a soft input type channel decoder as it is, but in an orthogonal resource hopping multiplexing environment, the original position of a transmission symbol is located at the origin or the center point of the symbol. Considering the impact, the mathematical calculations will be completely different.

Accordingly, in the present invention, the channel demodulator output value is adjusted through the logarithmic likelihood ratio converter and inserted into the channel decoder input with reference to the changed equation. Here, the logarithmic likelihood ratio converter generally has a puncturing probability as an input variable, which is notified through control signal transmission in the first communication station or calculated by the puncturing estimator in the second communication station. Also, if you do not know or roughly know the puncture probabilities, the logarithmic likelihood ratio converter will perform the specified transformation.

In addition, as described above, the channel coding rate in the first communication station is determined by the channel condition, available bandwidth, power, information rate, etc., and it was common to adjust the coding rate in accordance with the available bandwidth situation. At this time, the reduction of the coding rate was caused by the reduction of the spreading coefficient of one user or the multiple code occupancy. However, in the orthogonal resource hopping multiplexing environment, the reduction of the coding rate does not mean an increase in the required bandwidth, but a method in which multiple users are statistically multiplexed on a fixed bandwidth. There was a problem of increased collisions and perforations.

Since the perforation causes performance deterioration, there is a compromise between reducing the coding rate to increase the coding gain and increasing the coding rate to reduce the puncturing, which depends on the traffic conditions of the bandwidth. The present invention proposes a system that operates at an optimal coding rate according to traffic.

In summary, the present invention considers a logarithmic likelihood ratio conversion and adaptive coding rate scheme to improve the performance of channel coding in consideration of the characteristics of the leap multiplexing such as collision and puncturing, which may have a performance degradation in a statistical multiplexing method called orthogonal resource hopping multiplexing. To present.

In order to improve the performance of channel decoding through logarithmic likelihood ratio conversion, the present invention calculates a logarithmic likelihood ratio of the channel demodulator output value of the second communication station according to the puncturing probability in the transmitter of the first communication station, and then calculates the channel decoder of the second decoder. Enter the year input. Because the computed algebraic likelihood ratio is complex, the computation can be simplified with a suboptimal approximation.

The puncturing probability is communicated through control signal transmission at the first communication station or found through a puncturing estimator at the second communication station. If the probability of puncture is unknown or only approximate, the logarithmic likelihood ratio converter performs a predetermined conversion task.

In addition, in the present invention, in order to improve the performance of channel coding through an adaptive coding scheme, the first communication station obtains an optimal coding rate through an optimal coding rate generator and periodically applies it to a system according to bandwidth and traffic conditions. Bandwidth and various traffic information are provided to the optimal code rate generator in the upper layer.

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The same reference numerals in the embodiments of the present invention that use the same reference numerals in the drawing reference numbers used while explaining examples of the prior art and general technology, since the corresponding parts have already been described in the embodiment of the present invention In the explanation, the parts that need to be changed and added should be explained.

9 is a conceptual diagram of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method according to the present invention. That is, FIG. 9 is a conceptual diagram of introducing a log likelihood ratio converter and a puncturing estimator to a second communication station according to an embodiment of the present invention.

An LLR converter 628 is provided between the output of the channel demodulator 91 and the input of the channel decoder 1502 in order to improve the performance of channel decoding in an orthogonal resource hopping multiplexing environment.

The logarithmic likelihood ratio converter (LLR Converter) 628 can take puncturing probabilities as inputs for superior performance. However, the puncturing probability may be transmitted from a first communication station to a second communication station through a control signal in a downlink channel, or may be estimated based on symbol values passed through a channel by having a perforation estimator 630 in the second communication station. have.

In the orthogonal resource leap multiplexing environment, the algebraic likelihood ratio is given by Equation 1 in the BPSK. In addition, since QPSK is an orthogonal overlap of two BPSKs, it can be separated into two BPSKs without a phase error, and thus is the same as the analysis of BPSKs.

The log-likelihood ratio is L (d | y) when the symbol to be transmitted by the first communication station is d and the y symbol is received by the second communication station. This value ideally enters the input of the channel decoder 1502 in soft input format. In practice, a soft decision is made to limit the data to a predetermined number of bits. The logarithmic likelihood ratio converter 628 in the present invention may be located before or after the soft decision unit. In Equation 1, d has a value of +1 and -1, but the symbol t actually transmitted has a value of +1, -1, 0 by puncturing in the leap multiplexing. σ is the standard deviation value of Additive White Gaussian Noise (AWGN), and Pp is the puncturing probability value.

The logarithmic likelihood ratio is a complex formula that combines an exponential and a logarithmic function. In describing the present invention, such an optimal logarithmic likelihood ratio conversion performing block 628 is called an optimal logarithmic likelihood ratio converter or an optimal logarithmic likelihood ratio converter.

Next, in the present invention, since the precise logarithmic likelihood ratio conversion is complicated, the operation is simplified through approximation. Equation 2 below is an algebraic likelihood ratio approximated by the range of puncturing probabilities.

In Equation 2, the algebraic likelihood ratio is expressed as the first function of the received symbol y, and it is not necessary to calculate the exponential and logarithmic functions necessary for precise algebraic likelihood ratio conversion. Therefore, the calculation at the second communication station becomes very simple. In describing the present invention, the logarithmic likelihood ratio converter 628 in this manner is referred to as a linear algebraic likelihood ratio converter (Linear LLR Converter) or a sub-optimal algebraic likelihood ratio converter (Sub-Optimal LLR Converter).

In the conflict resolution of orthogonal resource hopping multiplexing, there is a method using synergy in addition to perforation. In this case, symbol d likewise has values of +1 and -1, but the actual transmission symbol t has values of +2, +1, 0, -1 and -2. +2 and -2 are symbols transmitted by synergy, and are for the case where synergy occurs between two downlink channels having the same amplitude. If there is synergy between two downlink channels, but the amplitude of each channel is different, the result of the synergy will be the sum of the amplitudes, and if there is a probability that there is less than the synergy between the two downlink channels, three or more downlink channels If there is synergy between them, it is the sum of the amplitudes of all channels.

However, in one embodiment of the present invention, only synergy is generated between two channels having the same amplitude in order to explain the concept. At this time, the calculation of the algebraic likelihood ratio is changed as shown in [Equation 3] below.

Ps is the probability of synergy and can be approximated from Pp, which is approximately equal to Pp when the value is small. Similarly, precise algebraic likelihood ratio conversion is complicated and its approximation is linear algebraic likelihood ratio operation as shown in [Equation 4]. Here, it is assumed that Ps has the same value as Pp.

10A and 10B are exemplary diagrams illustrating a correlation between a channel output value and a log likelihood ratio according to each log likelihood ratio conversion method.

Specifically, FIGS. 10A and 10B are examples of respective log likelihood ratio conversion schemes executed in the second communication station. The thin solid line is a conventional Conventional, the thin dotted line is a precise logarithmic likelihood ratio conversion (Exact), and the thick solid line is a suboptimal linear algebraic likelihood ratio transformation (Linear).

10A illustrates an example in which only perforation is applied to symbol mapping, and FIG. 10B illustrates an example in which perforation and synergy are applied together. As can be seen from FIGS. 10A and 10B, based on the conventional non-transformation method, the linear method has a little accuracy compared to the non-transformation method, and the precise logarithmic likelihood ratio conversion method is accurate but complex.

The logarithmic likelihood ratio conversion requires a puncturing probability Pp in addition to the channel output value y as an input value. The puncturing probability may be transmitted through control signal transmission at the first communication station or may be estimated based on channel output values received at the second communication station. In the present invention, a block for performing such estimation is referred to as a perforation estimator as described above. Estimation of the puncturing probability may be made as follows.

First, there is a zone detection method.

11 is an exemplary view illustrating a concept of area detection in the puncturing estimator according to the present invention.

FIG. 11 is a diagram illustrating an area detection method. Since a punctured symbol is transmitted to an origin, a probability is calculated by counting the number of punctured symbols by placing a threshold around the origin.

Second is the moment method. Since the primary and secondary moment values can be obtained using Equation 5 below according to the actual puncturing probability, the actual puncturing probability is estimated by calculating the moment of the received symbol. In the following equation, X is a random variable representing a received symbol.

The puncturing estimation may be performed independently in units of frames or may be calculated as a weighted average over several frames. In an environment where the use of the channel is drastically changed every frame, it is recommended to perform the perforation estimation independently on a frame-by-frame basis, and in an environment where the use of the channel is intermittently changed or the number of users is very large, the weighting average is used. It is advantageous to perform puncture estimation.

In addition, the present invention proposes a logarithmic likelihood ratio conversion method for an environment in which the estimation of the puncturing probability is difficult or contains a large error. The precise logarithmic likelihood ratio conversion method or the suboptimal logarithmic likelihood ratio conversion method has a higher performance than the conventional method as the puncturing probability increases. This means that the conventional technology is good in a situation where the puncturing probability is small. Assuming a logarithmic likelihood ratio conversion function when the puncturing probability is large, this shows a performance deterioration when the puncturing probability is small but a good performance when the puncturing probability is large.

In describing the present invention, a specific logarithmic likelihood ratio converter when the puncturing probability is large is called a fixed logarithmic likelihood ratio converter. The fixed logarithmic likelihood ratio converter does not have a puncturing probability Pp as an input variable, like the conventional LLR converter of the non-transformation characteristic.

In addition to a precise logarithmic likelihood ratio converter and a suboptimal logarithmic likelihood ratio converter, the present invention provides a system for combining a fixed logarithmic likelihood ratio converter and a conventional logarithmic likelihood ratio converter.

12A to 12D are detailed block diagrams of an embodiment of a log likelihood ratio converter in a digital communication system according to the present invention.

12A-12D can be seen that the above schemes are constructed. 12A-12D further illustrate the logarithmic likelihood ratio converter 628 that was presented in FIG. 9 above.

The first scheme shown in FIG. 12A and the second scheme shown in FIG. 12B are the precision logarithmic likelihood converter 6281 and the sub-optimal linear likelihood ratio converter 6282, respectively.

In the third method shown in FIG. 12C, the puncturing estimation is performed through the puncturing estimator 630 with the channel demodulator 91 output value, and the estimation is performed by simply performing the estimation to determine whether the threshold x is exceeded. A fixed logarithmic likelihood ratio conversion in a fixed linear LLR converter 6283 or a logarithmic likelihood ratio conversion with no conversion characteristics according to the prior art in a conventional algebraic likelihood ratio converter (6284). Since it is a simple estimation, the number of information bits is small, and a method of sending a control signal through the first communication station is also possible.

The fourth method shown in FIG. 12D performs a fixed logarithmic likelihood ratio conversion without a puncturing estimation and a logarithmic likelihood ratio conversion of a non-transformation characteristic according to the prior art and performs a channel decoder independently, and selects that there is no CRC error among the two results. It is.

Comparing the third and fourth schemes, since the third scheme has only one decryption, a simple puncturing estimation is required while the power loss of the second communication station is small, and the fourth scheme has a large decoding power loss while the puncturing estimation is large. Not required.

13A and 13B are diagrams illustrating an embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

13A and 13B show an embodiment in which the logarithmic likelihood ratio converter and the puncturing estimator are located before the soft determiner for the typical second communication station receiver shown in FIG. 6.

FIG. 13A illustrates an example in which only a logarithmic likelihood ratio converter (LLR Converter) 628 is positioned before a soft decision 616, and FIG. 13B illustrates a puncturing probability through a received symbol by a perforation estimator 630 in FIG. 13A. Is an example of estimating and providing the logarithmic likelihood ratio converter 628.

14A and 14B are diagrams illustrating an embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method according to the present invention.

14A and 14B show an embodiment where the logarithmic likelihood ratio converter and the puncturing estimator are located after the soft determiner for the typical second communication station receiver of FIG.

14A is an example in which only the log likelihood ratio converter 628 is located after the soft determiner. In addition, FIG. 14B illustrates an example in which the puncturing estimator 630 estimates puncturing probabilities through the received symbols and provides the algebraic likelihood ratio converter 628 in FIG. 14A.

15A and 15B illustrate a third embodiment of a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication scheme according to the present invention.

15A and 15B illustrate an embodiment in which an algebraic likelihood ratio conversion of the present invention is performed at a second communication station receiver for the information bit protection of FIG. 8 in an orthogonal resource hopping multiplexed environment.

In the classification channel encoder 2710 of FIG. 8, only an additional bit (Parity Bit) is orthogonal resource hopping multiplexed (ORHM), and an information bit is orthogonal resource division multiplexed (ORDM). You will be perforated to perform the logarithmic likelihood ratio conversion of the present invention only on the additional bits.

Algebraic likelihood ratio conversion according to the prior art is performed on the information bits, but since the information bits and the additional bits are multiplexed and decoded, constant normalization between two algebraic likelihood ratio conversions is required. . Constant normalization is to match the constant coefficient at the logarithmic likelihood ratio conversion, and to adjust the slope of the graph of FIG.

15A is an embodiment when the log likelihood ratio conversion is performed before soft decision. Information bits are received in an orthogonal resource division multiplex format through the receiver of FIG. 5A and additional bits are received in an orthogonal resource hopping multiplex format through the receiver of FIG. 5B.

Since the additional bits contain puncturing, the logarithmic likelihood ratio converter 628 and the puncturing estimator 630 that assist it are converted to the log likelihood ratio. In this case, constant normalization with information bits should be considered in the logarithmic likelihood ratio conversion of additional bits. The logarithmic likelihood ratio transformed additional bits are multiplexed in the information bits and multiplexer (MUX, 1500) and soft-determined in soft decision (616), and then enter the input of the channel decoder (1502).

15B is an embodiment when the log likelihood ratio conversion is performed after the soft decision. The rest of the procedure is the same as in FIG. 15A.

The present invention intends to improve the performance of channel decoding by placing the algebraic likelihood ratio converter and puncturing estimator in a second communication station in an orthogonal resource hopping multiplexing situation.

Apart from this, the first communication station under orthogonal resource hopping multiplexing transmits symbols of several users simultaneously in a limited band while generating a puncture causing degradation of channel encoding performance. This perforation is reduced by increasing the coding rate, but a large coding rate generally has a small coding gain, so a compromise exists. In the present invention, an adaptive coding scheme is proposed through a compromise between the optimal coding rates.

FIG. 16 is an exemplary diagram illustrating that the number of symbols in which symbol information is maintained varies according to a change in puncturing probability according to a coding rate.

16 shows an example in which an optimal coding rate occurs in an orthogonal resource hopping multiplexing situation. If a different code rate is used from one user side, in the case of a small code rate at the bottom of the figure, redundancy is large and coding gain is large.

However, if the redundancy is large, in the hop multiplexing situation, the entire band is the same and the use band of one user is increased, so that collision occurs frequently and the puncturing probability is increased. Thus, the redundancy of the symbol transmitted with the symbol information is greatly damaged. In the example of FIG. 16, the code rate of 1/5 is closest to the optimum because the number of symbols transmitted with symbol information is the largest.

As such, the puncturing probability is expected according to the available bandwidth and traffic conditions, and the optimal coding rate can be obtained through computer simulation or mathematical analysis. In the present invention, an optimum code rate generator is provided in a first communication station to generate an optimal code rate, and variable traffic information is provided to an optimum code rate generator in an upper layer. The optimal coding rate may take any value on the (0, 1) real interval, and in implementation may only take certain values such as 1/3, 1/4, 1/5, and the like.

FIG. 17 is a diagram illustrating an embodiment of an adaptive coding rate scheme for applying an optimal coding rate according to traffic in a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method according to the present invention.

The optimal coding rate is determined by the optimal coding rate generator according to the traffic region, which is known to the entire system at regular intervals and used as the coding rate of channel coding.

FIG. 18A and FIG. 18B are configuration diagrams of the actual example of the digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication method according to the present invention.

18A and 18B show an embodiment in which an optimum code rate generator 270 is provided in the general first communication station transmitter of FIGS. 3A and 3B. In the present invention, the type of channel encoder is irrelevant.

18A is a transmitter configuration diagram of a first communication station for pilot, synchronization, and a call channel, and FIG. 18B is a transmitter configuration diagram at a first communication station for a traffic channel. The input of the optimal code rate generator 270 is given variable traffic information in the upper layer.

The present invention as described above is summarized as follows.

According to the present invention, in a digital communication system based on a multidimensional orthogonal resource hopping multiplexing scheme including a first communication station and a plurality of second communication stations, multidimensional orthogonal resource hopping patterns corresponding to communication channels are generated due to collision in some data symbol intervals. Generate and use soft decision values based on logarithmic likelihood ratios that take into account possible puncturing or synergy of transmitted data symbols.

In this case, when the transmission data symbol is transmitted to the origin through the puncturing, the soft decision value based on the optimal algebraic likelihood ratio transformation is generated or used, or the soft decision value based on the suboptimal algebraic likelihood ratio transformation is generated and used. .

In addition, when the encoded symbols are transmitted as symbols of origin and large amplitude through puncturing and synergy, soft decision values based on optimal algebraic likelihood ratio transformation are generated or used, or soft decision values based on suboptimal algebraic likelihood ratio transformation. Create and use

In addition, the present invention estimates the puncturing probability through a puncturing probability estimator and provides it as an input of an algebraic likelihood ratio converter. In this case, the puncturing probability may be estimated using a region detection technique and a moment technique.

The puncturing probability estimation may be performed every frame, which is a unit of channel coding, or may be performed in a plurality of units. When performing a plurality of units, puncturing probability estimation may be performed by weighting a plurality of frames for each frame and obtaining an average.

In addition, a logarithmic likelihood ratio converter and a fixed algebraic likelihood ratio converter according to the prior art can be used in parallel without using a puncturing probability for the above-described algebraic likelihood ratio conversion. Depending on whether the threshold is exceeded, one of the output of the logarithmic likelihood ratio converter according to the prior art and the output of the fixed logarithmic likelihood ratio converter is selected.

The logarithmic likelihood ratio converter of the second communication station may be located before the soft judge or may be located after the soft judge.

In addition, the present invention, by dividing the information bit (Systematic bit) and the additional bit (Parity bit) among the output bits of the system channel encoder (Systematic Channel Encoder) and transmits the information bits in the orthogonal resource division multiplexing scheme, the additional bits are orthogonal When transmitting in the resource hopping multiplexing scheme, the second communication station performs the first logarithmic likelihood ratio conversion for the information bits and the second logarithmic likelihood ratio conversion for the additional bits.

Here, the first log likelihood ratio conversion may be performed by a logarithmic likelihood ratio converter according to the prior art, and the second log likelihood ratio conversion may be performed by an optimal logarithmic likelihood ratio converter. Alternatively, the first log likelihood ratio conversion may be by a logarithmic likelihood ratio converter according to the prior art, and the second log likelihood ratio conversion may be by a suboptimal log likelihood ratio converter. Further, the first log likelihood ratio conversion may be based on a logarithmic likelihood ratio converter according to the prior art, and the second log likelihood ratio conversion may use a logarithmic likelihood ratio converter and a fixed logarithmic likelihood ratio converter according to the prior art in parallel. In addition, the first algebraic likelihood ratio conversion is based on a logarithmic likelihood ratio converter according to the prior art, and the second algebraic likelihood ratio conversion is based on the output of a logarithmic likelihood ratio converter and a fixed algebraic likelihood depending on whether a puncturing probability exceeds a threshold This may be done by selecting one of the outputs of the non-converter.

The classification channel encoder can be a turbo encoder substantially.

In addition, the present invention, in the digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing scheme that includes a first communication station and a plurality of second communication station, the adaptive code rate method of periodically adjusting the channel code rate according to traffic conditions You can write

More specifically, a code rate generator may be set in a first communication station to determine an optimal code rate according to traffic state information provided from a higher layer, and at this time, an optimal code rate having a continuous value may be derived. Alternatively, an optimal coding rate having discrete values may be derived.

The present invention described above is not limited to the above-described embodiments and the accompanying drawings, and various substitutions, modifications, and changes are possible in the art without departing from the technical spirit of the present invention. It will be clear to those of ordinary knowledge.

The present invention as described above has an effect of obtaining a performance improvement of channel decoding in an orthogonal resource hopping multiplexing environment by providing a log likelihood ratio converter in a second communication station.

In addition, the present invention performs a function of estimating a puncturing probability, which is an input value of an algebraic likelihood ratio converter, by providing a puncturing estimator in a second communication station, and given a puncturing probability, a precise algebraic likelihood ratio converter or a suboptimal algebraic likelihood ratio converter. Is effective to provide a high performance improvement in an environment where the puncturing probability is relatively high.

In addition, the present invention provides a logarithmic likelihood ratio converter according to the prior art which is excellent in performance when the drilling probability is small when the drilling probability is unknown or when the drilling probability is only roughly known, and the fixed logarithmic likelihood ratio which is excellent in performance when the drilling probability is large. By using the transducers together, we can approach the performance of the optimal logarithmic likelihood ratio transducer, which is precise over all puncturing ranges.

In addition, the present invention has an effect of obtaining an optimal code rate in an orthogonal resource hopping multiplexing environment through an adaptive code rate technique using an optimal code rate generator.

In addition, the present invention, by the first communication station periodically generates the optimum code rate according to the traffic situation through the optimum code rate generator to inform the entire system, to derive the maximum performance between the performance degradation due to the puncturing and the coding gain It can be effective.

Claims (48)

A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, A logarithmic likelihood ratio conversion means, positioned between a channel demodulator and a channel decoder of a receiver, performing logarithmic likelihood ratio conversion of the channel demodulator output value according to a resource hopping environment to enter an input value of the channel decoder; And Soft decision means for performing soft decision to limit the number of bits of a predetermined size with respect to the input value of the channel decoder Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method comprising a. The method of claim 1, The logarithmic likelihood ratio conversion means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexed communication method, characterized in that a puncturing probability of transmission data symbols of a communication channel is taken as an input value for excellent performance. The method of claim 2, The algebraic likelihood ratio converting means, Optimal log likelihood ratio conversion means for performing logarithmic likelihood ratio conversion precisely when the transmission data symbol is transmitted to the origin through puncturing Digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method characterized in that. The method of claim 2, The algebraic likelihood ratio converting means, Suboptimal log likelihood ratio conversion means for performing logarithmic likelihood ratio conversion approximated according to the range of puncturing probability when the transmission data symbol is transmitted to the origin through puncturing Digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method characterized in that. The method of claim 1, The logarithmic likelihood ratio conversion means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method using punctuation probability and synergy of transmission data symbols for collision resolution of orthogonal multi-hop hopping multiplexing. The method of claim 5, wherein The logarithmic likelihood ratio conversion means, Optimal algebraic likelihood ratio conversion means for precisely performing algebraic likelihood ratio conversion when coded symbols are transmitted as symbols of origin and large amplitude through puncturing and synergy Digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method characterized in that. The method of claim 5, wherein The logarithmic likelihood ratio conversion means, Sub-optimal algebraic likelihood ratio that performs an approximate algebraic likelihood ratio conversion according to the puncturing probability and the probability range of synergy obtained through the puncturing and synergy when the symbol is transmitted at the origin and a large amplitude symbol. Means of conversion Digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method characterized in that. The method of claim 1, The logarithmic likelihood ratio conversion means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which uses a logarithmic likelihood ratio transformation and a fixed algebraic likelihood ratio transformation in the prior art in algebraic likelihood ratio transformation. The method of claim 8, The logarithmic likelihood ratio conversion means, Multidimensional orthogonal resource hopping multiplexing, characterized in that the algebraic likelihood ratio transformation method of the above-described non-transformation characteristic and the fixed algebraic likelihood ratio transformation scheme are selectively used depending on whether the puncturing probability of the transmitted data symbol exceeds a threshold value. Digital communication system based on communication method. The method of claim 1, The logarithmic likelihood ratio conversion means, A first algebraic likelihood ratio conversion is performed on an information bit output from a classification channel encoder of a transmitter and transmitted in an orthogonal resource division multiplexing scheme, and is output from the classification channel encoder and orthogonal resource hopping multiplexing. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, characterized in that a second logarithmic likelihood ratio conversion is performed on a parity bit transmitted in a method. The method of claim 10, The logarithmic likelihood ratio conversion means, The algebraic likelihood ratio transformation of the non-transformation characteristic according to the prior art is referred to as the first algebraic likelihood ratio transformation, and the optimal algebraic likelihood transformation that performs the algebraic likelihood ratio transformation precisely is characterized as the second algebraic likelihood ratio transformation. Digital communication system based on multi-dimensional orthogonal resource hopping multiplexing communication scheme. The method of claim 10, The logarithmic likelihood ratio conversion means, The second algebraic likelihood ratio transformation is performed by performing a logarithmic likelihood ratio transformation of the non-transformation characteristic according to the prior art as the first algebraic likelihood ratio transformation and performing an algebraic likelihood ratio transformation approximated according to a range of puncturing probability. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method characterized by non-conversion. The method of claim 10, The logarithmic likelihood ratio conversion means, The logarithmic likelihood ratio transformation of the non-conversion characteristic according to the prior art is referred to as the first algebraic likelihood ratio transformation, and the transformation using the algebraic likelihood ratio transformation and the fixed algebraic likelihood transformation of the nonconversion characteristic according to the prior art in parallel is described. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication system characterized by two log likelihood ratio conversions. The method of claim 10, The logarithmic likelihood ratio conversion means, The logarithmic likelihood ratio transformation of the non-transformation characteristic according to the prior art is used as the first algebraic likelihood ratio transformation, and the logarithmic likelihood ratio transformation and the fixed algebraic likelihood ratio transformation according to the prior art are selectively used depending on whether the puncturing probability exceeds a threshold. And a second logarithmic likelihood ratio transform. The digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication scheme. The method of claim 10, The classification channel encoder is A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexed communication scheme, characterized in that it is substantially a turbo encoder. The method of claim 1, The logarithmic likelihood ratio conversion means, And a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which is located before the soft decision means. The method of claim 1, The logarithmic likelihood ratio conversion means, And a digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which is located after the soft decision means. The method according to any one of claims 2 to 17, The logarithmic likelihood ratio conversion means, And the puncturing probability transmitted according to the control signal transmission from the transmitting end. The method according to any one of claims 2 to 17, Puncturing probability estimating means for estimating the puncturing probability based on the channel output values received at the receiving end and providing the puncturing probability to the logarithmic likelihood ratio converting means; Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method further comprising. The method of claim 19, The puncturing probability estimation means, Since the punctured symbol is transmitted to the origin, a digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method of estimating the puncturing probability by checking the number of punctured symbols by placing a threshold around the origin. The method of claim 20, The puncturing probability estimation means, The puncturing probability estimation is performed for each frame that is a unit of channel encoding. The digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication method. The method of claim 20, The puncturing probability estimation means, And a puncturing probability estimation according to a plurality of units of a frame which is a unit of channel coding. The method of claim 22, The puncturing probability estimation means, The puncturing probability estimation is performed by weighting each frame with respect to the plurality of frames and obtaining an average to obtain the puncturing probability. The method of claim 19, The puncturing probability estimation means, Since the moment value can be obtained according to the actual puncturing probability, the digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication method, which calculates the puncturing probability by calculating the moment of the received symbol. The method of claim 24, The puncturing probability estimation means, The puncturing probability estimation is performed for each frame that is a unit of channel encoding. The digital communication system based on the multi-dimensional orthogonal resource hopping multiplexing communication method. The method of claim 24, The puncturing probability estimation means, And a puncturing probability estimation according to a plurality of units of a frame which is a unit of channel coding. The method of claim 26, The puncturing probability estimation means, The puncturing probability estimation is performed by weighting each frame with respect to the plurality of frames and obtaining an average to obtain the puncturing probability. The method according to any one of claims 1 to 17, Optimal code rate generation means for adjusting the channel code rate periodically by finding a compromise between coding gain and puncturing according to traffic conditions Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method further comprising. The method of claim 28, The optimum code rate generating means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which generates an optimal coding rate having a continuous value. The method of claim 28, The optimum code rate generating means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which generates an optimal coding rate having discrete values. The method of claim 28, Puncturing probability estimating means for estimating the puncturing probability based on the channel output values received at the receiving end and providing the puncturing probability to the logarithmic likelihood ratio converting means; Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method further comprising. The method of claim 28, The logarithmic likelihood ratio conversion means, And a puncturing probability transmitted according to the transmission of the control signal from the transmitting end. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method comprising a first communication station and a plurality of second communication stations, Digital generation, characterized in that for generating a soft decision value based on the logarithmic likelihood ratio in consideration of the puncturing or synergy of the transmission data symbols that may occur due to collision in some data symbol interval of the multi-dimensional orthogonal resource hopping patterns corresponding to the communication channel Communication system. The method of claim 33, wherein In accordance with the transmission data symbol described above, A digital communication system, characterized by generating and using a soft decision value based on an optimal logarithmic likelihood ratio conversion that performs algebraic likelihood ratio conversion precisely. The method of claim 33, wherein In accordance with the transmission data symbol described above, And generating and using a soft decision value based on a suboptimal algebraic likelihood ratio transformation that performs an approximate algebraic likelihood ratio transformation according to a range of puncturing probabilities. The method of claim 33, wherein In conversion of the log likelihood ratio, A digital communication system using a logarithmic likelihood ratio conversion technique and a fixed logarithmic likelihood ratio transformation technique according to the prior art in parallel. The method of claim 36, The logarithm likelihood ratio conversion, And a logarithmic likelihood ratio transformation and a fixed algebraic likelihood transformation of the non-transformation characteristics according to the prior art, depending on whether the puncturing probability exceeds a threshold. 38. A compound according to any of claims 33 to 37, The probability of the puncture is A digital communication system characterized in that it is estimated by a puncturing probability estimator and provided as an input for logarithmic likelihood ratio conversion. The method of claim 38, The puncturing probability estimator, An area detection technique for estimating the puncturing probability by checking the number of punctured symbols by placing a threshold around the punctured symbol is received, and a moment technique for inversely estimating the puncturing probability by calculating the moment of the received symbol. Digital communication system, characterized in that for estimating the puncturing probability. 38. A compound according to any of claims 33 to 37, The transmission data, And a parity bit transmitted in an orthogonal resource hopping multiplexing scheme among output bits of a classification channel encoder of a transmitting end. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method comprising a first communication station and a plurality of second communication stations, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which uses an adaptive code rate method for periodically adjusting a channel code rate according to traffic conditions. 42. The method of claim 41 wherein The adaptive code rate method, And a code rate generator in the first communication station for deciding the channel code rate to derive an optimal code rate according to traffic state information provided from a higher layer. A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, Optimal code rate generation means for periodically adjusting channel code rate by finding a compromise between coding gain and puncturing according to traffic conditions Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method comprising a. The method according to any one of claims 41 to 43, The optimum code rate generating means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which generates an optimal coding rate having a continuous value. The method according to any one of claims 41 to 43, The optimum code rate generating means, A digital communication system based on a multi-dimensional orthogonal resource hopping multiplexing communication method, which generates an optimal coding rate having discrete values. The method according to any one of claims 41 to 43, A logarithmic likelihood ratio conversion means, positioned between a channel demodulator and a channel decoder of a receiver, performing logarithmic likelihood ratio conversion of the channel demodulator output value according to a resource hopping environment to enter an input value of the channel decoder; And Soft decision means for performing soft decision to limit the number of bits of a predetermined size with respect to the input value of the channel decoder Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method further comprising. The method of claim 46, A puncturing probability estimating means for estimating a puncturing probability based on the channel output values received at the receiving end and providing the puncturing probability to the log likelihood ratio converting means. Digital communication system based on the multi-dimensional orthogonal resource hopping multiplexed communication method further comprising. The method of claim 46, The logarithmic likelihood ratio conversion means, And a puncturing probability transmitted according to the transmission of the control signal from the transmitting end.